Merge pull request #1277 from open-webui/dev

0.1.115

.gitignore

@@ -166,7 +166,7 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+.idea/
 
 # Logs
 logs

CHANGELOG.md

@@ -5,6 +5,24 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.1.115] - 2024-03-24
+
+### Added
+
+- **🔍 Custom Model Selector**: Easily find and select custom models with the new search filter feature.
+- **🛑 Cancel Model Download**: Added the ability to cancel model downloads.
+- **🎨 Image Generation ComfyUI**: Image generation now supports ComfyUI.
+- **🌟 Updated Light Theme**: Updated the light theme for a fresh look.
+- **🌍 Additional Language Support**: Now supporting Bulgarian, Italian, Portuguese, Japanese, and Dutch.
+
+### Fixed
+
+- **🔧 Fixed Broken Experimental GGUF Upload**: Resolved issues with experimental GGUF upload functionality.
+
+### Changed
+
+- **🔄 Vector Storage Reset Button**: Moved the reset vector storage button to document settings.
+
 ## [0.1.114] - 2024-03-20
 
 ### Added

backend/apps/audio/main.py

 import os
+import logging
 from fastapi import (
     FastAPI,
     Request,
@@ -21,7 +22,10 @@ from utils.utils import (
 )
 from utils.misc import calculate_sha256
 
-from config import CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL, WHISPER_MODEL_DIR
+from config import SRC_LOG_LEVELS, CACHE_DIR, UPLOAD_DIR, WHISPER_MODEL, WHISPER_MODEL_DIR
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["AUDIO"])
 
 app = FastAPI()
 app.add_middleware(
@@ -38,7 +42,7 @@ def transcribe(
     file: UploadFile = File(...),
     user=Depends(get_current_user),
 ):
-    print(file.content_type)
+    log.info(f"file.content_type: {file.content_type}")
 
     if file.content_type not in ["audio/mpeg", "audio/wav"]:
         raise HTTPException(
@@ -62,7 +66,7 @@ def transcribe(
         )
 
         segments, info = model.transcribe(file_path, beam_size=5)
-        print(
+        log.info(
             "Detected language '%s' with probability %f"
             % (info.language, info.language_probability)
         )
@@ -72,7 +76,7 @@ def transcribe(
         return {"text": transcript.strip()}
 
     except Exception as e:
-        print(e)
+        log.exception(e)
 
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,

backend/apps/images/main.py

@@ -18,6 +18,8 @@ from utils.utils import (
     get_current_user,
     get_admin_user,
 )
+
+from apps.images.utils.comfyui import ImageGenerationPayload, comfyui_generate_image
 from utils.misc import calculate_sha256
 from typing import Optional
 from pydantic import BaseModel
@@ -25,9 +27,13 @@ from pathlib import Path
 import uuid
 import base64
 import json
+import logging
+
+from config import SRC_LOG_LEVELS, CACHE_DIR, AUTOMATIC1111_BASE_URL, COMFYUI_BASE_URL
 
-from config import CACHE_DIR, AUTOMATIC1111_BASE_URL
 
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["IMAGES"])
 
 IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/")
 IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
@@ -49,6 +55,8 @@ app.state.MODEL = ""
 
 
 app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
+app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
+
 
 app.state.IMAGE_SIZE = "512x512"
 app.state.IMAGE_STEPS = 50
@@ -71,32 +79,48 @@ async def update_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user
     return {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
 
 
-class UrlUpdateForm(BaseModel):
-    url: str
+class EngineUrlUpdateForm(BaseModel):
+    AUTOMATIC1111_BASE_URL: Optional[str] = None
+    COMFYUI_BASE_URL: Optional[str] = None
 
 
 @app.get("/url")
-async def get_automatic1111_url(user=Depends(get_admin_user)):
-    return {"AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL}
+async def get_engine_url(user=Depends(get_admin_user)):
+    return {
+        "AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
+        "COMFYUI_BASE_URL": app.state.COMFYUI_BASE_URL,
+    }
 
 
 @app.post("/url/update")
-async def update_automatic1111_url(
-    form_data: UrlUpdateForm, user=Depends(get_admin_user)
+async def update_engine_url(
+    form_data: EngineUrlUpdateForm, user=Depends(get_admin_user)
 ):
 
-    if form_data.url == "":
+    if form_data.AUTOMATIC1111_BASE_URL == None:
         app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
     else:
-        url = form_data.url.strip("/")
+        url = form_data.AUTOMATIC1111_BASE_URL.strip("/")
         try:
             r = requests.head(url)
             app.state.AUTOMATIC1111_BASE_URL = url
         except Exception as e:
             raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
 
+    if form_data.COMFYUI_BASE_URL == None:
+        app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
+    else:
+        url = form_data.COMFYUI_BASE_URL.strip("/")
+
+        try:
+            r = requests.head(url)
+            app.state.COMFYUI_BASE_URL = url
+        except Exception as e:
+            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
+
     return {
         "AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
+        "COMFYUI_BASE_URL": app.state.COMFYUI_BASE_URL,
         "status": True,
     }
 
@@ -186,6 +210,18 @@ def get_models(user=Depends(get_current_user)):
                 {"id": "dall-e-2", "name": "DALL·E 2"},
                 {"id": "dall-e-3", "name": "DALL·E 3"},
             ]
+        elif app.state.ENGINE == "comfyui":
+
+            r = requests.get(url=f"{app.state.COMFYUI_BASE_URL}/object_info")
+            info = r.json()
+
+            return list(
+                map(
+                    lambda model: {"id": model, "name": model},
+                    info["CheckpointLoaderSimple"]["input"]["required"]["ckpt_name"][0],
+                )
+            )
+
         else:
             r = requests.get(
                 url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models"
@@ -207,6 +243,8 @@ async def get_default_model(user=Depends(get_admin_user)):
     try:
         if app.state.ENGINE == "openai":
             return {"model": app.state.MODEL if app.state.MODEL else "dall-e-2"}
+        elif app.state.ENGINE == "comfyui":
+            return {"model": app.state.MODEL if app.state.MODEL else ""}
         else:
             r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
             options = r.json()
@@ -221,10 +259,12 @@ class UpdateModelForm(BaseModel):
 
 
 def set_model_handler(model: str):
-
     if app.state.ENGINE == "openai":
         app.state.MODEL = model
         return app.state.MODEL
+    if app.state.ENGINE == "comfyui":
+        app.state.MODEL = model
+        return app.state.MODEL
     else:
         r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
         options = r.json()
@@ -266,6 +306,23 @@ def save_b64_image(b64_str):
         with open(file_path, "wb") as f:
             f.write(img_data)
 
+        return image_id
+    except Exception as e:
+        log.error(f"Error saving image: {e}")
+        return None
+
+
+def save_url_image(url):
+    image_id = str(uuid.uuid4())
+    file_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.png")
+
+    try:
+        r = requests.get(url)
+        r.raise_for_status()
+
+        with open(file_path, "wb") as image_file:
+            image_file.write(r.content)
+
         return image_id
     except Exception as e:
         print(f"Error saving image: {e}")
@@ -278,6 +335,8 @@ def generate_image(
     user=Depends(get_current_user),
 ):
 
+    width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
+
     r = None
     try:
         if app.state.ENGINE == "openai":
@@ -315,12 +374,47 @@ def generate_image(
 
             return images
 
+        elif app.state.ENGINE == "comfyui":
+
+            data = {
+                "prompt": form_data.prompt,
+                "width": width,
+                "height": height,
+                "n": form_data.n,
+            }
+
+            if app.state.IMAGE_STEPS != None:
+                data["steps"] = app.state.IMAGE_STEPS
+
+            if form_data.negative_prompt != None:
+                data["negative_prompt"] = form_data.negative_prompt
+
+            data = ImageGenerationPayload(**data)
+
+            res = comfyui_generate_image(
+                app.state.MODEL,
+                data,
+                user.id,
+                app.state.COMFYUI_BASE_URL,
+            )
+            print(res)
+
+            images = []
+
+            for image in res["data"]:
+                image_id = save_url_image(image["url"])
+                images.append({"url": f"/cache/image/generations/{image_id}.png"})
+                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
+
+                with open(file_body_path, "w") as f:
+                    json.dump(data.model_dump(exclude_none=True), f)
+
+            print(images)
+            return images
         else:
             if form_data.model:
                 set_model_handler(form_data.model)
 
-            width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
-
             data = {
                 "prompt": form_data.prompt,
                 "batch_size": form_data.n,
@@ -341,7 +435,7 @@ def generate_image(
 
             res = r.json()
 
-            print(res)
+            log.debug(f"res: {res}")
 
             images = []
 

backend/apps/images/utils/comfyui.py

+import websocket  # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import json
+import urllib.request
+import urllib.parse
+import random
+
+from pydantic import BaseModel
+
+from typing import Optional
+
+COMFYUI_DEFAULT_PROMPT = """
+{
+  "3": {
+    "inputs": {
+      "seed": 0,
+      "steps": 20,
+      "cfg": 8,
+      "sampler_name": "euler",
+      "scheduler": "normal",
+      "denoise": 1,
+      "model": [
+        "4",
+        0
+      ],
+      "positive": [
+        "6",
+        0
+      ],
+      "negative": [
+        "7",
+        0
+      ],
+      "latent_image": [
+        "5",
+        0
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "KSampler"
+    }
+  },
+  "4": {
+    "inputs": {
+      "ckpt_name": "model.safetensors"
+    },
+    "class_type": "CheckpointLoaderSimple",
+    "_meta": {
+      "title": "Load Checkpoint"
+    }
+  },
+  "5": {
+    "inputs": {
+      "width": 512,
+      "height": 512,
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": {
+      "title": "Empty Latent Image"
+    }
+  },
+  "6": {
+    "inputs": {
+      "text": "Prompt",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "7": {
+    "inputs": {
+      "text": "Negative Prompt",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "8": {
+    "inputs": {
+      "samples": [
+        "3",
+        0
+      ],
+      "vae": [
+        "4",
+        2
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE Decode"
+    }
+  },
+  "9": {
+    "inputs": {
+      "filename_prefix": "ComfyUI",
+      "images": [
+        "8",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  }
+}
+"""
+
+
+def queue_prompt(prompt, client_id, base_url):
+    print("queue_prompt")
+    p = {"prompt": prompt, "client_id": client_id}
+    data = json.dumps(p).encode("utf-8")
+    req = urllib.request.Request(f"{base_url}/prompt", data=data)
+    return json.loads(urllib.request.urlopen(req).read())
+
+
+def get_image(filename, subfolder, folder_type, base_url):
+    print("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    with urllib.request.urlopen(f"{base_url}/view?{url_values}") as response:
+        return response.read()
+
+
+def get_image_url(filename, subfolder, folder_type, base_url):
+    print("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    return f"{base_url}/view?{url_values}"
+
+
+def get_history(prompt_id, base_url):
+    print("get_history")
+    with urllib.request.urlopen(f"{base_url}/history/{prompt_id}") as response:
+        return json.loads(response.read())
+
+
+def get_images(ws, prompt, client_id, base_url):
+    prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
+    output_images = []
+    while True:
+        out = ws.recv()
+        if isinstance(out, str):
+            message = json.loads(out)
+            if message["type"] == "executing":
+                data = message["data"]
+                if data["node"] is None and data["prompt_id"] == prompt_id:
+                    break  # Execution is done
+        else:
+            continue  # previews are binary data
+
+    history = get_history(prompt_id, base_url)[prompt_id]
+    for o in history["outputs"]:
+        for node_id in history["outputs"]:
+            node_output = history["outputs"][node_id]
+            if "images" in node_output:
+                for image in node_output["images"]:
+                    url = get_image_url(
+                        image["filename"], image["subfolder"], image["type"], base_url
+                    )
+                    output_images.append({"url": url})
+    return {"data": output_images}
+
+
+class ImageGenerationPayload(BaseModel):
+    prompt: str
+    negative_prompt: Optional[str] = ""
+    steps: Optional[int] = None
+    seed: Optional[int] = None
+    width: int
+    height: int
+    n: int = 1
+
+
+def comfyui_generate_image(
+    model: str, payload: ImageGenerationPayload, client_id, base_url
+):
+    host = base_url.replace("http://", "").replace("https://", "")
+
+    comfyui_prompt = json.loads(COMFYUI_DEFAULT_PROMPT)
+
+    comfyui_prompt["4"]["inputs"]["ckpt_name"] = model
+    comfyui_prompt["5"]["inputs"]["batch_size"] = payload.n
+    comfyui_prompt["5"]["inputs"]["width"] = payload.width
+    comfyui_prompt["5"]["inputs"]["height"] = payload.height
+
+    # set the text prompt for our positive CLIPTextEncode
+    comfyui_prompt["6"]["inputs"]["text"] = payload.prompt
+    comfyui_prompt["7"]["inputs"]["text"] = payload.negative_prompt
+
+    if payload.steps:
+        comfyui_prompt["3"]["inputs"]["steps"] = payload.steps
+
+    comfyui_prompt["3"]["inputs"]["seed"] = (
+        payload.seed if payload.seed else random.randint(0, 18446744073709551614)
+    )
+
+    try:
+        ws = websocket.WebSocket()
+        ws.connect(f"ws://{host}/ws?clientId={client_id}")
+        print("WebSocket connection established.")
+    except Exception as e:
+        print(f"Failed to connect to WebSocket server: {e}")
+        return None
+
+    try:
+        images = get_images(ws, comfyui_prompt, client_id, base_url)
+    except Exception as e:
+        print(f"Error while receiving images: {e}")
+        images = None
+
+    ws.close()
+
+    return images

backend/apps/litellm/main.py

+import logging
+
 from litellm.proxy.proxy_server import ProxyConfig, initialize
 from litellm.proxy.proxy_server import app
 
@@ -9,7 +11,10 @@ from starlette.responses import StreamingResponse
 import json
 
 from utils.utils import get_http_authorization_cred, get_current_user
-from config import ENV
+from config import SRC_LOG_LEVELS, ENV
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["LITELLM"])
 
 
 from config import (
@@ -49,7 +54,7 @@ async def auth_middleware(request: Request, call_next):
 
     try:
         user = get_current_user(get_http_authorization_cred(auth_header))
-        print(user)
+        log.debug(f"user: {user}")
         request.state.user = user
     except Exception as e:
         return JSONResponse(status_code=400, content={"detail": str(e)})

backend/apps/ollama/main.py

-from fastapi import FastAPI, Request, Response, HTTPException, Depends, status
+from fastapi import (
+    FastAPI,
+    Request,
+    Response,
+    HTTPException,
+    Depends,
+    status,
+    UploadFile,
+    File,
+    BackgroundTasks,
+)
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import StreamingResponse
 from fastapi.concurrency import run_in_threadpool
 
 from pydantic import BaseModel, ConfigDict
 
+import os
+import copy
 import random
 import requests
 import json
 import uuid
 import aiohttp
 import asyncio
+import logging
+from urllib.parse import urlparse
+from typing import Optional, List, Union
+
 
 from apps.web.models.users import Users
 from constants import ERROR_MESSAGES
 from utils.utils import decode_token, get_current_user, get_admin_user
-from config import OLLAMA_BASE_URLS, MODEL_FILTER_ENABLED, MODEL_FILTER_LIST
 
-from typing import Optional, List, Union
 
+from config import SRC_LOG_LEVELS, OLLAMA_BASE_URLS, MODEL_FILTER_ENABLED, MODEL_FILTER_LIST, UPLOAD_DIR
+from utils.misc import calculate_sha256
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
 
 app = FastAPI()
 app.add_middleware(
@@ -69,7 +88,7 @@ class UrlUpdateForm(BaseModel):
 async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
     app.state.OLLAMA_BASE_URLS = form_data.urls
 
-    print(app.state.OLLAMA_BASE_URLS)
+    log.info(f"app.state.OLLAMA_BASE_URLS: {app.state.OLLAMA_BASE_URLS}")
     return {"OLLAMA_BASE_URLS": app.state.OLLAMA_BASE_URLS}
 
 
@@ -90,7 +109,7 @@ async def fetch_url(url):
                 return await response.json()
     except Exception as e:
         # Handle connection error here
-        print(f"Connection error: {e}")
+        log.error(f"Connection error: {e}")
         return None
 
 
@@ -114,7 +133,7 @@ def merge_models_lists(model_lists):
 
 
 async def get_all_models():
-    print("get_all_models")
+    log.info("get_all_models()")
     tasks = [fetch_url(f"{url}/api/tags") for url in app.state.OLLAMA_BASE_URLS]
     responses = await asyncio.gather(*tasks)
 
@@ -155,7 +174,7 @@ async def get_ollama_tags(
 
             return r.json()
         except Exception as e:
-            print(e)
+            log.exception(e)
             error_detail = "Open WebUI: Server Connection Error"
             if r is not None:
                 try:
@@ -201,7 +220,7 @@ async def get_ollama_versions(url_idx: Optional[int] = None):
 
             return r.json()
         except Exception as e:
-            print(e)
+            log.exception(e)
             error_detail = "Open WebUI: Server Connection Error"
             if r is not None:
                 try:
@@ -227,18 +246,33 @@ async def pull_model(
     form_data: ModelNameForm, url_idx: int = 0, user=Depends(get_admin_user)
 ):
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     r = None
 
     def get_request():
         nonlocal url
         nonlocal r
+
+        request_id = str(uuid.uuid4())
         try:
+            REQUEST_POOL.append(request_id)
 
             def stream_content():
-                for chunk in r.iter_content(chunk_size=8192):
-                    yield chunk
+                try:
+                    yield json.dumps({"id": request_id, "done": False}) + "\n"
+
+                    for chunk in r.iter_content(chunk_size=8192):
+                        if request_id in REQUEST_POOL:
+                            yield chunk
+                        else:
+                            print("User: canceled request")
+                            break
+                finally:
+                    if hasattr(r, "close"):
+                        r.close()
+                        if request_id in REQUEST_POOL:
+                            REQUEST_POOL.remove(request_id)
 
             r = requests.request(
                 method="POST",
@@ -259,8 +293,9 @@ async def pull_model(
 
     try:
         return await run_in_threadpool(get_request)
+
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -299,7 +334,7 @@ async def push_model(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.debug(f"url: {url}")
 
     r = None
 
@@ -331,7 +366,7 @@ async def push_model(
     try:
         return await run_in_threadpool(get_request)
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -359,9 +394,9 @@ class CreateModelForm(BaseModel):
 async def create_model(
     form_data: CreateModelForm, url_idx: int = 0, user=Depends(get_admin_user)
 ):
-    print(form_data)
+    log.debug(f"form_data: {form_data}")
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     r = None
 
@@ -383,7 +418,7 @@ async def create_model(
 
             r.raise_for_status()
 
-            print(r)
+            log.debug(f"r: {r}")
 
             return StreamingResponse(
                 stream_content(),
@@ -396,7 +431,7 @@ async def create_model(
     try:
         return await run_in_threadpool(get_request)
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -434,7 +469,7 @@ async def copy_model(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     try:
         r = requests.request(
@@ -444,11 +479,11 @@ async def copy_model(
         )
         r.raise_for_status()
 
-        print(r.text)
+        log.debug(f"r.text: {r.text}")
 
         return True
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -481,7 +516,7 @@ async def delete_model(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     try:
         r = requests.request(
@@ -491,11 +526,11 @@ async def delete_model(
         )
         r.raise_for_status()
 
-        print(r.text)
+        log.debug(f"r.text: {r.text}")
 
         return True
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -521,7 +556,7 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_current_use
 
     url_idx = random.choice(app.state.MODELS[form_data.name]["urls"])
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     try:
         r = requests.request(
@@ -533,7 +568,7 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_current_use
 
         return r.json()
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -573,7 +608,7 @@ async def generate_embeddings(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     try:
         r = requests.request(
@@ -585,7 +620,7 @@ async def generate_embeddings(
 
         return r.json()
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:
@@ -633,7 +668,7 @@ async def generate_completion(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     r = None
 
@@ -654,7 +689,7 @@ async def generate_completion(
                         if request_id in REQUEST_POOL:
                             yield chunk
                         else:
-                            print("User: canceled request")
+                            log.warning("User: canceled request")
                             break
                 finally:
                     if hasattr(r, "close"):
@@ -731,11 +766,11 @@ async def generate_chat_completion(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     r = None
 
-    print(form_data.model_dump_json(exclude_none=True).encode())
+    log.debug("form_data.model_dump_json(exclude_none=True).encode(): {0} ".format(form_data.model_dump_json(exclude_none=True).encode()))
 
     def get_request():
         nonlocal form_data
@@ -754,7 +789,7 @@ async def generate_chat_completion(
                         if request_id in REQUEST_POOL:
                             yield chunk
                         else:
-                            print("User: canceled request")
+                            log.warning("User: canceled request")
                             break
                 finally:
                     if hasattr(r, "close"):
@@ -777,7 +812,7 @@ async def generate_chat_completion(
                 headers=dict(r.headers),
             )
         except Exception as e:
-            print(e)
+            log.exception(e)
             raise e
 
     try:
@@ -831,7 +866,7 @@ async def generate_openai_chat_completion(
             )
 
     url = app.state.OLLAMA_BASE_URLS[url_idx]
-    print(url)
+    log.info(f"url: {url}")
 
     r = None
 
@@ -854,7 +889,7 @@ async def generate_openai_chat_completion(
                         if request_id in REQUEST_POOL:
                             yield chunk
                         else:
-                            print("User: canceled request")
+                            log.warning("User: canceled request")
                             break
                 finally:
                     if hasattr(r, "close"):
@@ -897,6 +932,211 @@ async def generate_openai_chat_completion(
         )
 
 
+class UrlForm(BaseModel):
+    url: str
+
+
+class UploadBlobForm(BaseModel):
+    filename: str
+
+
+def parse_huggingface_url(hf_url):
+    try:
+        # Parse the URL
+        parsed_url = urlparse(hf_url)
+
+        # Get the path and split it into components
+        path_components = parsed_url.path.split("/")
+
+        # Extract the desired output
+        user_repo = "/".join(path_components[1:3])
+        model_file = path_components[-1]
+
+        return model_file
+    except ValueError:
+        return None
+
+
+async def download_file_stream(
+    ollama_url, file_url, file_path, file_name, chunk_size=1024 * 1024
+):
+    done = False
+
+    if os.path.exists(file_path):
+        current_size = os.path.getsize(file_path)
+    else:
+        current_size = 0
+
+    headers = {"Range": f"bytes={current_size}-"} if current_size > 0 else {}
+
+    timeout = aiohttp.ClientTimeout(total=600)  # Set the timeout
+
+    async with aiohttp.ClientSession(timeout=timeout) as session:
+        async with session.get(file_url, headers=headers) as response:
+            total_size = int(response.headers.get("content-length", 0)) + current_size
+
+            with open(file_path, "ab+") as file:
+                async for data in response.content.iter_chunked(chunk_size):
+                    current_size += len(data)
+                    file.write(data)
+
+                    done = current_size == total_size
+                    progress = round((current_size / total_size) * 100, 2)
+
+                    yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n'
+
+                if done:
+                    file.seek(0)
+                    hashed = calculate_sha256(file)
+                    file.seek(0)
+
+                    url = f"{ollama_url}/api/blobs/sha256:{hashed}"
+                    response = requests.post(url, data=file)
+
+                    if response.ok:
+                        res = {
+                            "done": done,
+                            "blob": f"sha256:{hashed}",
+                            "name": file_name,
+                        }
+                        os.remove(file_path)
+
+                        yield f"data: {json.dumps(res)}\n\n"
+                    else:
+                        raise "Ollama: Could not create blob, Please try again."
+
+
+# def number_generator():
+#     for i in range(1, 101):
+#         yield f"data: {i}\n"
+
+
+# url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf"
+@app.post("/models/download")
+@app.post("/models/download/{url_idx}")
+async def download_model(
+    form_data: UrlForm,
+    url_idx: Optional[int] = None,
+):
+
+    if url_idx == None:
+        url_idx = 0
+    url = app.state.OLLAMA_BASE_URLS[url_idx]
+
+    file_name = parse_huggingface_url(form_data.url)
+
+    if file_name:
+        file_path = f"{UPLOAD_DIR}/{file_name}"
+        return StreamingResponse(
+            download_file_stream(url, form_data.url, file_path, file_name),
+        )
+    else:
+        return None
+
+
+@app.post("/models/upload")
+@app.post("/models/upload/{url_idx}")
+def upload_model(file: UploadFile = File(...), url_idx: Optional[int] = None):
+    if url_idx == None:
+        url_idx = 0
+    ollama_url = app.state.OLLAMA_BASE_URLS[url_idx]
+
+    file_path = f"{UPLOAD_DIR}/{file.filename}"
+
+    # Save file in chunks
+    with open(file_path, "wb+") as f:
+        for chunk in file.file:
+            f.write(chunk)
+
+    def file_process_stream():
+        nonlocal ollama_url
+        total_size = os.path.getsize(file_path)
+        chunk_size = 1024 * 1024
+        try:
+            with open(file_path, "rb") as f:
+                total = 0
+                done = False
+
+                while not done:
+                    chunk = f.read(chunk_size)
+                    if not chunk:
+                        done = True
+                        continue
+
+                    total += len(chunk)
+                    progress = round((total / total_size) * 100, 2)
+
+                    res = {
+                        "progress": progress,
+                        "total": total_size,
+                        "completed": total,
+                    }
+                    yield f"data: {json.dumps(res)}\n\n"
+
+                if done:
+                    f.seek(0)
+                    hashed = calculate_sha256(f)
+                    f.seek(0)
+
+                    url = f"{ollama_url}/api/blobs/sha256:{hashed}"
+                    response = requests.post(url, data=f)
+
+                    if response.ok:
+                        res = {
+                            "done": done,
+                            "blob": f"sha256:{hashed}",
+                            "name": file.filename,
+                        }
+                        os.remove(file_path)
+                        yield f"data: {json.dumps(res)}\n\n"
+                    else:
+                        raise Exception(
+                            "Ollama: Could not create blob, Please try again."
+                        )
+
+        except Exception as e:
+            res = {"error": str(e)}
+            yield f"data: {json.dumps(res)}\n\n"
+
+    return StreamingResponse(file_process_stream(), media_type="text/event-stream")
+
+
+# async def upload_model(file: UploadFile = File(), url_idx: Optional[int] = None):
+#     if url_idx == None:
+#         url_idx = 0
+#     url = app.state.OLLAMA_BASE_URLS[url_idx]
+
+#     file_location = os.path.join(UPLOAD_DIR, file.filename)
+#     total_size = file.size
+
+#     async def file_upload_generator(file):
+#         print(file)
+#         try:
+#             async with aiofiles.open(file_location, "wb") as f:
+#                 completed_size = 0
+#                 while True:
+#                     chunk = await file.read(1024*1024)
+#                     if not chunk:
+#                         break
+#                     await f.write(chunk)
+#                     completed_size += len(chunk)
+#                     progress = (completed_size / total_size) * 100
+
+#                     print(progress)
+#                     yield f'data: {json.dumps({"status": "uploading", "percentage": progress, "total": total_size, "completed": completed_size, "done": False})}\n'
+#         except Exception as e:
+#             print(e)
+#             yield f"data: {json.dumps({'status': 'error', 'message': str(e)})}\n"
+#         finally:
+#             await file.close()
+#             print("done")
+#             yield f'data: {json.dumps({"status": "completed", "percentage": 100, "total": total_size, "completed": completed_size, "done": True})}\n'
+
+#     return StreamingResponse(
+#         file_upload_generator(copy.deepcopy(file)), media_type="text/event-stream"
+#     )
+
+
 @app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
 async def deprecated_proxy(path: str, request: Request, user=Depends(get_current_user)):
     url = app.state.OLLAMA_BASE_URLS[0]
@@ -947,7 +1187,7 @@ async def deprecated_proxy(path: str, request: Request, user=Depends(get_current
                         if request_id in REQUEST_POOL:
                             yield chunk
                         else:
-                            print("User: canceled request")
+                            log.warning("User: canceled request")
                             break
                 finally:
                     if hasattr(r, "close"):

backend/apps/openai/main.py

@@ -6,6 +6,7 @@ import requests
 import aiohttp
 import asyncio
 import json
+import logging
 
 from pydantic import BaseModel
 
@@ -19,6 +20,7 @@ from utils.utils import (
     get_admin_user,
 )
 from config import (
+    SRC_LOG_LEVELS,
     OPENAI_API_BASE_URLS,
     OPENAI_API_KEYS,
     CACHE_DIR,
@@ -31,6 +33,9 @@ from typing import List, Optional
 import hashlib
 from pathlib import Path
 
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["OPENAI"])
+
 app = FastAPI()
 app.add_middleware(
     CORSMiddleware,
@@ -134,7 +139,7 @@ async def speech(request: Request, user=Depends(get_verified_user)):
             return FileResponse(file_path)
 
         except Exception as e:
-            print(e)
+            log.exception(e)
             error_detail = "Open WebUI: Server Connection Error"
             if r is not None:
                 try:
@@ -160,7 +165,7 @@ async def fetch_url(url, key):
                 return await response.json()
     except Exception as e:
         # Handle connection error here
-        print(f"Connection error: {e}")
+        log.error(f"Connection error: {e}")
         return None
 
 
@@ -182,7 +187,7 @@ def merge_models_lists(model_lists):
 
 
 async def get_all_models():
-    print("get_all_models")
+    log.info("get_all_models()")
 
     if len(app.state.OPENAI_API_KEYS) == 1 and app.state.OPENAI_API_KEYS[0] == "":
         models = {"data": []}
@@ -208,7 +213,7 @@ async def get_all_models():
             )
         }
 
-        print(models)
+        log.info(f"models: {models}")
         app.state.MODELS = {model["id"]: model for model in models["data"]}
 
         return models
@@ -246,7 +251,7 @@ async def get_models(url_idx: Optional[int] = None, user=Depends(get_current_use
 
             return response_data
         except Exception as e:
-            print(e)
+            log.exception(e)
             error_detail = "Open WebUI: Server Connection Error"
             if r is not None:
                 try:
@@ -280,7 +285,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
         if body.get("model") == "gpt-4-vision-preview":
             if "max_tokens" not in body:
                 body["max_tokens"] = 4000
-            print("Modified body_dict:", body)
+            log.debug("Modified body_dict:", body)
 
         # Fix for ChatGPT calls failing because the num_ctx key is in body
         if "num_ctx" in body:
@@ -292,7 +297,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
         # Convert the modified body back to JSON
         body = json.dumps(body)
     except json.JSONDecodeError as e:
-        print("Error loading request body into a dictionary:", e)
+        log.error("Error loading request body into a dictionary:", e)
 
     url = app.state.OPENAI_API_BASE_URLS[idx]
     key = app.state.OPENAI_API_KEYS[idx]
@@ -330,7 +335,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
             response_data = r.json()
             return response_data
     except Exception as e:
-        print(e)
+        log.exception(e)
         error_detail = "Open WebUI: Server Connection Error"
         if r is not None:
             try:

backend/apps/rag/main.py

@@ -8,7 +8,7 @@ from fastapi import (
     Form,
 )
 from fastapi.middleware.cors import CORSMiddleware
-import os, shutil
+import os, shutil, logging
 
 from pathlib import Path
 from typing import List
@@ -54,6 +54,7 @@ from utils.misc import (
 )
 from utils.utils import get_current_user, get_admin_user
 from config import (
+    SRC_LOG_LEVELS,
     UPLOAD_DIR,
     DOCS_DIR,
     RAG_EMBEDDING_MODEL,
@@ -66,6 +67,9 @@ from config import (
 
 from constants import ERROR_MESSAGES
 
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
 #
 # if RAG_EMBEDDING_MODEL:
 #    sentence_transformer_ef = SentenceTransformer(
@@ -110,40 +114,6 @@ class CollectionNameForm(BaseModel):
 class StoreWebForm(CollectionNameForm):
     url: str
 
-
-def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=app.state.CHUNK_SIZE, chunk_overlap=app.state.CHUNK_OVERLAP
-    )
-    docs = text_splitter.split_documents(data)
-
-    texts = [doc.page_content for doc in docs]
-    metadatas = [doc.metadata for doc in docs]
-
-    try:
-        if overwrite:
-            for collection in CHROMA_CLIENT.list_collections():
-                if collection_name == collection.name:
-                    print(f"deleting existing collection {collection_name}")
-                    CHROMA_CLIENT.delete_collection(name=collection_name)
-
-        collection = CHROMA_CLIENT.create_collection(
-            name=collection_name,
-            embedding_function=app.state.sentence_transformer_ef,
-        )
-
-        collection.add(
-            documents=texts, metadatas=metadatas, ids=[str(uuid.uuid1()) for _ in texts]
-        )
-        return True
-    except Exception as e:
-        print(e)
-        if e.__class__.__name__ == "UniqueConstraintError":
-            return True
-
-        return False
-
-
 @app.get("/")
 async def get_status():
     return {
@@ -274,7 +244,7 @@ def query_doc_handler(
             embedding_function=app.state.sentence_transformer_ef,
         )
     except Exception as e:
-        print(e)
+        log.exception(e)
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail=ERROR_MESSAGES.DEFAULT(e),
@@ -318,13 +288,63 @@ def store_web(form_data: StoreWebForm, user=Depends(get_current_user)):
             "filename": form_data.url,
         }
     except Exception as e:
-        print(e)
+        log.exception(e)
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST,
             detail=ERROR_MESSAGES.DEFAULT(e),
         )
 
 
+def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
+    text_splitter = RecursiveCharacterTextSplitter(
+        chunk_size=app.state.CHUNK_SIZE,
+        chunk_overlap=app.state.CHUNK_OVERLAP,
+        add_start_index=True,
+    )
+    docs = text_splitter.split_documents(data)
+    return store_docs_in_vector_db(docs, collection_name, overwrite)
+
+
+def store_text_in_vector_db(
+    text, metadata, collection_name, overwrite: bool = False
+) -> bool:
+    text_splitter = RecursiveCharacterTextSplitter(
+        chunk_size=app.state.CHUNK_SIZE,
+        chunk_overlap=app.state.CHUNK_OVERLAP,
+        add_start_index=True,
+    )
+    docs = text_splitter.create_documents([text], metadatas=[metadata])
+    return store_docs_in_vector_db(docs, collection_name, overwrite)
+
+
+def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> bool:
+    texts = [doc.page_content for doc in docs]
+    metadatas = [doc.metadata for doc in docs]
+
+    try:
+        if overwrite:
+            for collection in CHROMA_CLIENT.list_collections():
+                if collection_name == collection.name:
+                    print(f"deleting existing collection {collection_name}")
+                    CHROMA_CLIENT.delete_collection(name=collection_name)
+
+        collection = CHROMA_CLIENT.create_collection(
+            name=collection_name,
+            embedding_function=app.state.sentence_transformer_ef,
+        )
+
+        collection.add(
+            documents=texts, metadatas=metadatas, ids=[str(uuid.uuid1()) for _ in texts]
+        )
+        return True
+    except Exception as e:
+        print(e)
+        if e.__class__.__name__ == "UniqueConstraintError":
+            return True
+
+        return False
+
+
 def get_loader(filename: str, file_content_type: str, file_path: str):
     file_ext = filename.split(".")[-1].lower()
     known_type = True
@@ -416,7 +436,7 @@ def store_doc(
 ):
     # "https://www.gutenberg.org/files/1727/1727-h/1727-h.htm"
 
-    print(file.content_type)
+    log.info(f"file.content_type: {file.content_type}")
     try:
         filename = file.filename
         file_path = f"{UPLOAD_DIR}/{filename}"
@@ -447,7 +467,7 @@ def store_doc(
                 detail=ERROR_MESSAGES.DEFAULT(),
             )
     except Exception as e:
-        print(e)
+        log.exception(e)
         if "No pandoc was found" in str(e):
             raise HTTPException(
                 status_code=status.HTTP_400_BAD_REQUEST,
@@ -460,6 +480,37 @@ def store_doc(
             )
 
 
+class TextRAGForm(BaseModel):
+    name: str
+    content: str
+    collection_name: Optional[str] = None
+
+
+@app.post("/text")
+def store_text(
+    form_data: TextRAGForm,
+    user=Depends(get_current_user),
+):
+
+    collection_name = form_data.collection_name
+    if collection_name == None:
+        collection_name = calculate_sha256_string(form_data.content)
+
+    result = store_text_in_vector_db(
+        form_data.content,
+        metadata={"name": form_data.name, "created_by": user.id},
+        collection_name=collection_name,
+    )
+
+    if result:
+        return {"status": True, "collection_name": collection_name}
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=ERROR_MESSAGES.DEFAULT(),
+        )
+
+
 @app.get("/scan")
 def scan_docs_dir(user=Depends(get_admin_user)):
     for path in Path(DOCS_DIR).rglob("./**/*"):
@@ -512,7 +563,7 @@ def scan_docs_dir(user=Depends(get_admin_user)):
                         )
 
         except Exception as e:
-            print(e)
+            log.exception(e)
 
     return True
 
@@ -533,11 +584,11 @@ def reset(user=Depends(get_admin_user)) -> bool:
             elif os.path.isdir(file_path):
                 shutil.rmtree(file_path)
         except Exception as e:
-            print("Failed to delete %s. Reason: %s" % (file_path, e))
+            log.error("Failed to delete %s. Reason: %s" % (file_path, e))
 
     try:
         CHROMA_CLIENT.reset()
     except Exception as e:
-        print(e)
+        log.exception(e)
 
     return True

backend/apps/rag/utils.py

 import re
+import logging
 from typing import List
 
-from config import CHROMA_CLIENT
+from config import SRC_LOG_LEVELS, CHROMA_CLIENT
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
 
 
 def query_doc(collection_name: str, query: str, k: int, embedding_function):
@@ -97,7 +101,7 @@ def rag_template(template: str, context: str, query: str):
 
 
 def rag_messages(docs, messages, template, k, embedding_function):
-    print(docs)
+    log.debug(f"docs: {docs}")
 
     last_user_message_idx = None
     for i in range(len(messages) - 1, -1, -1):
@@ -137,6 +141,8 @@ def rag_messages(docs, messages, template, k, embedding_function):
                     k=k,
                     embedding_function=embedding_function,
                 )
+            elif doc["type"] == "text":
+                context = doc["content"]
             else:
                 context = query_doc(
                     collection_name=doc["collection_name"],
@@ -145,7 +151,7 @@ def rag_messages(docs, messages, template, k, embedding_function):
                     embedding_function=embedding_function,
                 )
         except Exception as e:
-            print(e)
+            log.exception(e)
             context = None
 
         relevant_contexts.append(context)

backend/apps/web/internal/db.py

 from peewee import *
-from config import DATA_DIR
+from config import SRC_LOG_LEVELS, DATA_DIR
 import os
+import logging
 
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["DB"])
 
 # Check if the file exists
 if os.path.exists(f"{DATA_DIR}/ollama.db"):
     # Rename the file
     os.rename(f"{DATA_DIR}/ollama.db", f"{DATA_DIR}/webui.db")
-    print("File renamed successfully.")
+    log.info("File renamed successfully.")
 else:
     pass
 

backend/apps/web/models/auths.py

@@ -2,6 +2,7 @@ from pydantic import BaseModel
 from typing import List, Union, Optional
 import time
 import uuid
+import logging
 from peewee import *
 
 from apps.web.models.users import UserModel, Users
@@ -9,6 +10,10 @@ from utils.utils import verify_password
 
 from apps.web.internal.db import DB
 
+from config import SRC_LOG_LEVELS
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
 ####################
 # DB MODEL
 ####################
@@ -86,7 +91,7 @@ class AuthsTable:
     def insert_new_auth(
         self, email: str, password: str, name: str, role: str = "pending"
     ) -> Optional[UserModel]:
-        print("insert_new_auth")
+        log.info("insert_new_auth")
 
         id = str(uuid.uuid4())
 
@@ -103,7 +108,7 @@ class AuthsTable:
             return None
 
     def authenticate_user(self, email: str, password: str) -> Optional[UserModel]:
-        print("authenticate_user", email)
+        log.info(f"authenticate_user: {email}")
         try:
             auth = Auth.get(Auth.email == email, Auth.active == True)
             if auth:

backend/apps/web/models/chats.py

@@ -95,20 +95,6 @@ class ChatTable:
         except:
             return None
 
-    def update_chat_by_id(self, id: str, chat: dict) -> Optional[ChatModel]:
-        try:
-            query = Chat.update(
-                chat=json.dumps(chat),
-                title=chat["title"] if "title" in chat else "New Chat",
-                timestamp=int(time.time()),
-            ).where(Chat.id == id)
-            query.execute()
-
-            chat = Chat.get(Chat.id == id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
     def get_chat_lists_by_user_id(
         self, user_id: str, skip: int = 0, limit: int = 50
     ) -> List[ChatModel]:

backend/apps/web/models/documents.py

@@ -3,6 +3,7 @@ from peewee import *
 from playhouse.shortcuts import model_to_dict
 from typing import List, Union, Optional
 import time
+import logging
 
 from utils.utils import decode_token
 from utils.misc import get_gravatar_url
@@ -11,6 +12,10 @@ from apps.web.internal.db import DB
 
 import json
 
+from config import SRC_LOG_LEVELS
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
 ####################
 # Documents DB Schema
 ####################
@@ -118,7 +123,7 @@ class DocumentsTable:
             doc = Document.get(Document.name == form_data.name)
             return DocumentModel(**model_to_dict(doc))
         except Exception as e:
-            print(e)
+            log.exception(e)
             return None
 
     def update_doc_content_by_name(
@@ -138,7 +143,7 @@ class DocumentsTable:
             doc = Document.get(Document.name == name)
             return DocumentModel(**model_to_dict(doc))
         except Exception as e:
-            print(e)
+            log.exception(e)
             return None
 
     def delete_doc_by_name(self, name: str) -> bool:

backend/apps/web/models/tags.py

@@ -6,9 +6,14 @@ from playhouse.shortcuts import model_to_dict
 import json
 import uuid
 import time
+import logging
 
 from apps.web.internal.db import DB
 
+from config import SRC_LOG_LEVELS
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
 ####################
 # Tag DB Schema
 ####################
@@ -173,7 +178,7 @@ class TagTable:
                 (ChatIdTag.tag_name == tag_name) & (ChatIdTag.user_id == user_id)
             )
             res = query.execute()  # Remove the rows, return number of rows removed.
-            print(res)
+            log.debug(f"res: {res}")
 
             tag_count = self.count_chat_ids_by_tag_name_and_user_id(tag_name, user_id)
             if tag_count == 0:
@@ -185,7 +190,7 @@ class TagTable:
 
             return True
         except Exception as e:
-            print("delete_tag", e)
+            log.error(f"delete_tag: {e}")
             return False
 
     def delete_tag_by_tag_name_and_chat_id_and_user_id(
@@ -198,7 +203,7 @@ class TagTable:
                 & (ChatIdTag.user_id == user_id)
             )
             res = query.execute()  # Remove the rows, return number of rows removed.
-            print(res)
+            log.debug(f"res: {res}")
 
             tag_count = self.count_chat_ids_by_tag_name_and_user_id(tag_name, user_id)
             if tag_count == 0:
@@ -210,7 +215,7 @@ class TagTable:
 
             return True
         except Exception as e:
-            print("delete_tag", e)
+            log.error(f"delete_tag: {e}")
             return False
 
     def delete_tags_by_chat_id_and_user_id(self, chat_id: str, user_id: str) -> bool:

backend/apps/web/routers/chats.py

@@ -5,6 +5,7 @@ from utils.utils import get_current_user, get_admin_user
 from fastapi import APIRouter
 from pydantic import BaseModel
 import json
+import logging
 
 from apps.web.models.users import Users
 from apps.web.models.chats import (
@@ -27,6 +28,10 @@ from apps.web.models.tags import (
 
 from constants import ERROR_MESSAGES
 
+from config import SRC_LOG_LEVELS
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
 router = APIRouter()
 
 ############################
@@ -78,7 +83,7 @@ async def create_new_chat(form_data: ChatForm, user=Depends(get_current_user)):
         chat = Chats.insert_new_chat(user.id, form_data)
         return ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
     except Exception as e:
-        print(e)
+        log.exception(e)
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
         )
@@ -95,7 +100,7 @@ async def get_all_tags(user=Depends(get_current_user)):
         tags = Tags.get_tags_by_user_id(user.id)
         return tags
     except Exception as e:
-        print(e)
+        log.exception(e)
         raise HTTPException(
             status_code=status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.DEFAULT()
         )

backend/apps/web/routers/users.py

@@ -7,6 +7,7 @@ from fastapi import APIRouter
 from pydantic import BaseModel
 import time
 import uuid
+import logging
 
 from apps.web.models.users import UserModel, UserUpdateForm, UserRoleUpdateForm, Users
 from apps.web.models.auths import Auths
@@ -14,6 +15,10 @@ from apps.web.models.auths import Auths
 from utils.utils import get_current_user, get_password_hash, get_admin_user
 from constants import ERROR_MESSAGES
 
+from config import SRC_LOG_LEVELS
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
 router = APIRouter()
 
 ############################
@@ -83,7 +88,7 @@ async def update_user_by_id(
 
         if form_data.password:
             hashed = get_password_hash(form_data.password)
-            print(hashed)
+            log.debug(f"hashed: {hashed}")
             Auths.update_user_password_by_id(user_id, hashed)
 
         Auths.update_email_by_id(user_id, form_data.email.lower())

backend/apps/web/routers/utils.py

@@ -21,155 +21,6 @@ from constants import ERROR_MESSAGES
 router = APIRouter()
 
 
-class UploadBlobForm(BaseModel):
-    filename: str
-
-
-from urllib.parse import urlparse
-
-
-def parse_huggingface_url(hf_url):
-    try:
-        # Parse the URL
-        parsed_url = urlparse(hf_url)
-
-        # Get the path and split it into components
-        path_components = parsed_url.path.split("/")
-
-        # Extract the desired output
-        user_repo = "/".join(path_components[1:3])
-        model_file = path_components[-1]
-
-        return model_file
-    except ValueError:
-        return None
-
-
-async def download_file_stream(url, file_path, file_name, chunk_size=1024 * 1024):
-    done = False
-
-    if os.path.exists(file_path):
-        current_size = os.path.getsize(file_path)
-    else:
-        current_size = 0
-
-    headers = {"Range": f"bytes={current_size}-"} if current_size > 0 else {}
-
-    timeout = aiohttp.ClientTimeout(total=600)  # Set the timeout
-
-    async with aiohttp.ClientSession(timeout=timeout) as session:
-        async with session.get(url, headers=headers) as response:
-            total_size = int(response.headers.get("content-length", 0)) + current_size
-
-            with open(file_path, "ab+") as file:
-                async for data in response.content.iter_chunked(chunk_size):
-                    current_size += len(data)
-                    file.write(data)
-
-                    done = current_size == total_size
-                    progress = round((current_size / total_size) * 100, 2)
-                    yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n'
-
-                if done:
-                    file.seek(0)
-                    hashed = calculate_sha256(file)
-                    file.seek(0)
-
-                    url = f"{OLLAMA_BASE_URLS[0]}/api/blobs/sha256:{hashed}"
-                    response = requests.post(url, data=file)
-
-                    if response.ok:
-                        res = {
-                            "done": done,
-                            "blob": f"sha256:{hashed}",
-                            "name": file_name,
-                        }
-                        os.remove(file_path)
-
-                        yield f"data: {json.dumps(res)}\n\n"
-                    else:
-                        raise "Ollama: Could not create blob, Please try again."
-
-
-@router.get("/download")
-async def download(
-    url: str,
-):
-    # url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf"
-    file_name = parse_huggingface_url(url)
-
-    if file_name:
-        file_path = f"{UPLOAD_DIR}/{file_name}"
-
-        return StreamingResponse(
-            download_file_stream(url, file_path, file_name),
-            media_type="text/event-stream",
-        )
-    else:
-        return None
-
-
-@router.post("/upload")
-def upload(file: UploadFile = File(...)):
-    file_path = f"{UPLOAD_DIR}/{file.filename}"
-
-    # Save file in chunks
-    with open(file_path, "wb+") as f:
-        for chunk in file.file:
-            f.write(chunk)
-
-    def file_process_stream():
-        total_size = os.path.getsize(file_path)
-        chunk_size = 1024 * 1024
-        try:
-            with open(file_path, "rb") as f:
-                total = 0
-                done = False
-
-                while not done:
-                    chunk = f.read(chunk_size)
-                    if not chunk:
-                        done = True
-                        continue
-
-                    total += len(chunk)
-                    progress = round((total / total_size) * 100, 2)
-
-                    res = {
-                        "progress": progress,
-                        "total": total_size,
-                        "completed": total,
-                    }
-                    yield f"data: {json.dumps(res)}\n\n"
-
-                if done:
-                    f.seek(0)
-                    hashed = calculate_sha256(f)
-                    f.seek(0)
-
-                    url = f"{OLLAMA_BASE_URLS[0]}/blobs/sha256:{hashed}"
-                    response = requests.post(url, data=f)
-
-                    if response.ok:
-                        res = {
-                            "done": done,
-                            "blob": f"sha256:{hashed}",
-                            "name": file.filename,
-                        }
-                        os.remove(file_path)
-                        yield f"data: {json.dumps(res)}\n\n"
-                    else:
-                        raise Exception(
-                            "Ollama: Could not create blob, Please try again."
-                        )
-
-        except Exception as e:
-            res = {"error": str(e)}
-            yield f"data: {json.dumps(res)}\n\n"
-
-    return StreamingResponse(file_process_stream(), media_type="text/event-stream")
-
-
 @router.get("/gravatar")
 async def get_gravatar(
     email: str,

backend/config.py

 import os
+import sys
+import logging
 import chromadb
 from chromadb import Settings
 from base64 import b64encode
@@ -21,7 +23,7 @@ try:
 
     load_dotenv(find_dotenv("../.env"))
 except ImportError:
-    print("dotenv not installed, skipping...")
+    log.warning("dotenv not installed, skipping...")
 
 WEBUI_NAME = "Open WebUI"
 shutil.copyfile("../build/favicon.png", "./static/favicon.png")
@@ -100,6 +102,34 @@ for version in soup.find_all("h2"):
 CHANGELOG = changelog_json
 
 
+####################################
+# LOGGING
+####################################
+log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
+
+GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
+if GLOBAL_LOG_LEVEL in log_levels:
+    logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
+else:
+    GLOBAL_LOG_LEVEL = "INFO"
+
+log = logging.getLogger(__name__)
+log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
+
+log_sources = ["AUDIO", "CONFIG", "DB", "IMAGES", "LITELLM", "MAIN", "MODELS", "OLLAMA", "OPENAI", "RAG"]
+
+SRC_LOG_LEVELS = {}
+
+for source in log_sources:
+    log_env_var = source + "_LOG_LEVEL"
+    SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
+    if SRC_LOG_LEVELS[source] not in log_levels:
+        SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
+    log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
+
+log.setLevel(SRC_LOG_LEVELS["CONFIG"])
+
+
 ####################################
 # CUSTOM_NAME
 ####################################
@@ -125,7 +155,7 @@ if CUSTOM_NAME:
 
             WEBUI_NAME = data["name"]
     except Exception as e:
-        print(e)
+        log.exception(e)
         pass
 
 
@@ -194,9 +224,9 @@ def create_config_file(file_path):
 LITELLM_CONFIG_PATH = f"{DATA_DIR}/litellm/config.yaml"
 
 if not os.path.exists(LITELLM_CONFIG_PATH):
-    print("Config file doesn't exist. Creating...")
+    log.info("Config file doesn't exist. Creating...")
     create_config_file(LITELLM_CONFIG_PATH)
-    print("Config file created successfully.")
+    log.info("Config file created successfully.")
 
 
 ####################################
@@ -376,3 +406,4 @@ WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models"
 ####################################
 
 AUTOMATIC1111_BASE_URL = os.getenv("AUTOMATIC1111_BASE_URL", "")
+COMFYUI_BASE_URL = os.getenv("COMFYUI_BASE_URL", "")

backend/main.py

@@ -4,6 +4,7 @@ import markdown
 import time
 import os
 import sys
+import logging
 import requests
 
 from fastapi import FastAPI, Request, Depends, status
@@ -38,10 +39,15 @@ from config import (
     FRONTEND_BUILD_DIR,
     MODEL_FILTER_ENABLED,
     MODEL_FILTER_LIST,
+    GLOBAL_LOG_LEVEL,
+    SRC_LOG_LEVELS,
     WEBHOOK_URL,
 )
 from constants import ERROR_MESSAGES
 
+logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MAIN"])
 
 class SPAStaticFiles(StaticFiles):
     async def get_response(self, path: str, scope):
@@ -70,7 +76,7 @@ class RAGMiddleware(BaseHTTPMiddleware):
         if request.method == "POST" and (
             "/api/chat" in request.url.path or "/chat/completions" in request.url.path
         ):
-            print(request.url.path)
+            log.debug(f"request.url.path: {request.url.path}")
 
             # Read the original request body
             body = await request.body()
@@ -93,7 +99,7 @@ class RAGMiddleware(BaseHTTPMiddleware):
                 )
                 del data["docs"]
 
-                print(data["messages"])
+                log.debug(f"data['messages']: {data['messages']}")
 
             modified_body_bytes = json.dumps(data).encode("utf-8")