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Merge pull request #1071 from open-webui/dev

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0.1.110
This commit is contained in:
Timothy Jaeryang Baek 2024-03-06 23:32:24 -05:00 committed by GitHub
commit 8ed5759d0e
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GPG key ID: B5690EEEBB952194
15 changed files with 328 additions and 157 deletions
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1
.dockerignore
View file

@ -7,7 +7,6 @@ node_modules
/package
.env
.env.*
!.env.example
vite.config.js.timestamp-*
vite.config.ts.timestamp-*
__pycache__

12
CHANGELOG.md
View file

@ -5,6 +5,18 @@ 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).
## [0.1.110] - 2024-03-06
### Added
- **🌐 Multiple OpenAI Servers Support**: Enjoy seamless integration with multiple OpenAI-compatible APIs, now supported natively.
### Fixed
- **🔍 OCR Issue**: Resolved PDF parsing issue caused by OCR malfunction.
- **🚫 RAG Issue**: Fixed the RAG functionality, ensuring it operates smoothly.
- **📄 "Add Docs" Model Button**: Addressed the non-functional behavior of the "Add Docs" model button.
## [0.1.109] - 2024-03-06
### Added

2
Dockerfile
View file

@ -53,6 +53,8 @@ WORKDIR /app/backend
# install python dependencies
COPY ./backend/requirements.txt ./requirements.txt
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
RUN pip3 install -r requirements.txt --no-cache-dir

23
backend/apps/ollama/main.py
View file

@ -222,7 +222,7 @@ async def pull_model(
r = requests.request(
method="POST",
url=f"{url}/api/pull",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
@ -294,7 +294,7 @@ async def push_model(
r = requests.request(
method="POST",
url=f"{url}/api/push",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -356,7 +356,7 @@ async def create_model(
r = requests.request(
method="POST",
url=f"{url}/api/create",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
@ -419,7 +419,7 @@ async def copy_model(
r = requests.request(
method="POST",
url=f"{url}/api/copy",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -466,7 +466,7 @@ async def delete_model(
r = requests.request(
method="DELETE",
url=f"{url}/api/delete",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -506,7 +506,7 @@ async def show_model_info(form_data: ModelNameForm, user=Depends(get_current_use
r = requests.request(
method="POST",
url=f"{url}/api/show",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -558,7 +558,7 @@ async def generate_embeddings(
r = requests.request(
method="POST",
url=f"{url}/api/embeddings",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
)
r.raise_for_status()
@ -644,7 +644,7 @@ async def generate_completion(
r = requests.request(
method="POST",
url=f"{url}/api/generate",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
@ -714,7 +714,7 @@ async def generate_chat_completion(
r = None
print(form_data.model_dump_json(exclude_none=True))
print(form_data.model_dump_json(exclude_none=True).encode())
def get_request():
nonlocal form_data
@ -744,7 +744,7 @@ async def generate_chat_completion(
r = requests.request(
method="POST",
url=f"{url}/api/chat",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)
@ -756,6 +756,7 @@ async def generate_chat_completion(
headers=dict(r.headers),
)
except Exception as e:
print(e)
raise e
try:
@ -843,7 +844,7 @@ async def generate_openai_chat_completion(
r = requests.request(
method="POST",
url=f"{url}/v1/chat/completions",
data=form_data.model_dump_json(exclude_none=True),
data=form_data.model_dump_json(exclude_none=True).encode(),
stream=True,
)

270
backend/apps/openai/main.py
View file

@ -3,7 +3,10 @@ from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
import requests
import aiohttp
import asyncio
import json
from pydantic import BaseModel
@ -15,7 +18,9 @@ from utils.utils import (
get_verified_user,
get_admin_user,
)
from config import OPENAI_API_BASE_URL, OPENAI_API_KEY, CACHE_DIR
from config import OPENAI_API_BASE_URLS, OPENAI_API_KEYS, CACHE_DIR
from typing import List, Optional
import hashlib
from pathlib import Path
@ -29,116 +34,207 @@ app.add_middleware(
allow_headers=["*"],
)
app.state.OPENAI_API_BASE_URL = OPENAI_API_BASE_URL
app.state.OPENAI_API_KEY = OPENAI_API_KEY
app.state.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
app.state.OPENAI_API_KEYS = OPENAI_API_KEYS
app.state.MODELS = {}
class UrlUpdateForm(BaseModel):
url: str
@app.middleware("http")
async def check_url(request: Request, call_next):
if len(app.state.MODELS) == 0:
await get_all_models()
else:
pass
response = await call_next(request)
return response
class KeyUpdateForm(BaseModel):
key: str
class UrlsUpdateForm(BaseModel):
urls: List[str]
@app.get("/url")
async def get_openai_url(user=Depends(get_admin_user)):
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
class KeysUpdateForm(BaseModel):
keys: List[str]
@app.post("/url/update")
async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_BASE_URL = form_data.url
return {"OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL}
@app.get("/urls")
async def get_openai_urls(user=Depends(get_admin_user)):
return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
@app.get("/key")
async def get_openai_key(user=Depends(get_admin_user)):
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
@app.post("/urls/update")
async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_BASE_URLS = form_data.urls
return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
@app.post("/key/update")
async def update_openai_key(form_data: KeyUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_KEY = form_data.key
return {"OPENAI_API_KEY": app.state.OPENAI_API_KEY}
@app.get("/keys")
async def get_openai_keys(user=Depends(get_admin_user)):
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
@app.post("/keys/update")
async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
app.state.OPENAI_API_KEYS = form_data.keys
return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
@app.post("/audio/speech")
async def speech(request: Request, user=Depends(get_verified_user)):
target_url = f"{app.state.OPENAI_API_BASE_URL}/audio/speech"
if app.state.OPENAI_API_KEY == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
body = await request.body()
name = hashlib.sha256(body).hexdigest()
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
# Check if the file already exists in the cache
if file_path.is_file():
return FileResponse(file_path)
headers = {}
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
headers["Content-Type"] = "application/json"
idx = None
try:
print("openai")
r = requests.post(
url=target_url,
data=body,
headers=headers,
stream=True,
idx = app.state.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
body = await request.body()
name = hashlib.sha256(body).hexdigest()
SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
# Check if the file already exists in the cache
if file_path.is_file():
return FileResponse(file_path)
headers = {}
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEYS[idx]}"
headers["Content-Type"] = "application/json"
try:
r = requests.post(
url=f"{app.state.OPENAI_API_BASE_URLS[idx]}/audio/speech",
data=body,
headers=headers,
stream=True,
)
r.raise_for_status()
# Save the streaming content to a file
with open(file_path, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
with open(file_body_path, "w") as f:
json.dump(json.loads(body.decode("utf-8")), f)
# Return the saved file
return FileResponse(file_path)
except Exception as e:
print(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(status_code=r.status_code, detail=error_detail)
except ValueError:
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
async def fetch_url(url, key):
try:
headers = {"Authorization": f"Bearer {key}"}
async with aiohttp.ClientSession() as session:
async with session.get(url, headers=headers) as response:
return await response.json()
except Exception as e:
# Handle connection error here
print(f"Connection error: {e}")
return None
def merge_models_lists(model_lists):
merged_list = []
for idx, models in enumerate(model_lists):
merged_list.extend(
[
{**model, "urlIdx": idx}
for model in models
if "api.openai.com" not in app.state.OPENAI_API_BASE_URLS[idx]
or "gpt" in model["id"]
]
)
r.raise_for_status()
return merged_list
# Save the streaming content to a file
with open(file_path, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
with open(file_body_path, "w") as f:
json.dump(json.loads(body.decode("utf-8")), f)
async def get_all_models():
print("get_all_models")
tasks = [
fetch_url(f"{url}/models", app.state.OPENAI_API_KEYS[idx])
for idx, url in enumerate(app.state.OPENAI_API_BASE_URLS)
]
responses = await asyncio.gather(*tasks)
responses = list(filter(lambda x: x is not None and "error" not in x, responses))
models = {
"data": merge_models_lists(
list(map(lambda response: response["data"], responses))
)
}
app.state.MODELS = {model["id"]: model for model in models["data"]}
# Return the saved file
return FileResponse(file_path)
return models
except Exception as e:
print(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(status_code=r.status_code, detail=error_detail)
# , user=Depends(get_current_user)
@app.get("/models")
@app.get("/models/{url_idx}")
async def get_models(url_idx: Optional[int] = None):
if url_idx == None:
return await get_all_models()
else:
url = app.state.OPENAI_API_BASE_URLS[url_idx]
try:
r = requests.request(method="GET", url=f"{url}/models")
r.raise_for_status()
response_data = r.json()
if "api.openai.com" in url:
response_data["data"] = list(
filter(lambda model: "gpt" in model["id"], response_data["data"])
)
return response_data
except Exception as e:
print(e)
error_detail = "Open WebUI: Server Connection Error"
if r is not None:
try:
res = r.json()
if "error" in res:
error_detail = f"External: {res['error']}"
except:
error_detail = f"External: {e}"
raise HTTPException(
status_code=r.status_code if r else 500,
detail=error_detail,
)
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
target_url = f"{app.state.OPENAI_API_BASE_URL}/{path}"
print(target_url, app.state.OPENAI_API_KEY)
if app.state.OPENAI_API_KEY == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
idx = 0
body = await request.body()
# TODO: Remove below after gpt-4-vision fix from Open AI
# Try to decode the body of the request from bytes to a UTF-8 string (Require add max_token to fix gpt-4-vision)
try:
body = body.decode("utf-8")
body = json.loads(body)
idx = app.state.MODELS[body.get("model")]["urlIdx"]
# Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
# This is a workaround until OpenAI fixes the issue with this model
if body.get("model") == "gpt-4-vision-preview":
@ -158,8 +254,16 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
except json.JSONDecodeError as e:
print("Error loading request body into a dictionary:", e)
url = app.state.OPENAI_API_BASE_URLS[idx]
key = app.state.OPENAI_API_KEYS[idx]
target_url = f"{url}/{path}"
if key == "":
raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
headers = {}
headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
headers["Authorization"] = f"Bearer {key}"
headers["Content-Type"] = "application/json"
try:
@ -181,21 +285,7 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
headers=dict(r.headers),
)
else:
# For non-SSE, read the response and return it
# response_data = (
# r.json()
# if r.headers.get("Content-Type", "")
# == "application/json"
# else r.text
# )
response_data = r.json()
if "api.openai.com" in app.state.OPENAI_API_BASE_URL and path == "models":
response_data["data"] = list(
filter(lambda model: "gpt" in model["id"], response_data["data"])
)
return response_data
except Exception as e:
print(e)

2
backend/apps/rag/main.py
View file

@ -425,7 +425,7 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
]
if file_ext == "pdf":
loader = PyPDFLoader(file_path)
loader = PyPDFLoader(file_path, extract_images=True)
elif file_ext == "csv":
loader = CSVLoader(file_path)
elif file_ext == "rst":

16
backend/config.py
View file

@ -234,9 +234,25 @@ OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
if OPENAI_API_KEY == "":
OPENAI_API_KEY = "none"
if OPENAI_API_BASE_URL == "":
OPENAI_API_BASE_URL = "https://api.openai.com/v1"
OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
OPENAI_API_BASE_URLS = (
OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
)
OPENAI_API_BASE_URLS = [url.strip() for url in OPENAI_API_BASE_URL.split(";")]
####################################
# WEBUI

2
backend/constants.py
View file

@ -41,6 +41,7 @@ class ERROR_MESSAGES(str, Enum):
NOT_FOUND = "We could not find what you're looking for :/"
USER_NOT_FOUND = "We could not find what you're looking for :/"
API_KEY_NOT_FOUND = "Oops! It looks like there's a hiccup. The API key is missing. Please make sure to provide a valid API key to access this feature."
MALICIOUS = "Unusual activities detected, please try again in a few minutes."
PANDOC_NOT_INSTALLED = "Pandoc is not installed on the server. Please contact your administrator for assistance."
@ -50,3 +51,4 @@ class ERROR_MESSAGES(str, Enum):
RATE_LIMIT_EXCEEDED = "API rate limit exceeded"
MODEL_NOT_FOUND = lambda name="": f"Model '{name}' was not found"
OPENAI_NOT_FOUND = lambda name="": f"OpenAI API was not found"

2
backend/requirements.txt
View file

@ -34,6 +34,8 @@ pandas
openpyxl
pyxlsb
xlrd
opencv-python-headless
rapidocr-onnxruntime
faster-whisper

2
package.json
View file

@ -1,6 +1,6 @@
{
"name": "open-webui",
"version": "0.1.109",
"version": "0.1.110",
"private": true,
"scripts": {
"dev": "vite dev --host",

4
src/app.css
View file

@ -43,6 +43,10 @@ ol > li {
font-weight: 400;
}
li p {
display: inline;
}
::-webkit-scrollbar-thumb {
--tw-border-opacity: 1;
background-color: rgba(217, 217, 227, 0.8);

28
src/lib/apis/openai/index.ts
View file

@ -1,9 +1,9 @@
import { OPENAI_API_BASE_URL } from '$lib/constants';
export const getOpenAIUrl = async (token: string = '') => {
export const getOpenAIUrls = async (token: string = '') => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/url`, {
const res = await fetch(`${OPENAI_API_BASE_URL}/urls`, {
method: 'GET',
headers: {
Accept: 'application/json',
@ -29,13 +29,13 @@ export const getOpenAIUrl = async (token: string = '') => {
throw error;
}
return res.OPENAI_API_BASE_URL;
return res.OPENAI_API_BASE_URLS;
};
export const updateOpenAIUrl = async (token: string = '', url: string) => {
export const updateOpenAIUrls = async (token: string = '', urls: string[]) => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/url/update`, {
const res = await fetch(`${OPENAI_API_BASE_URL}/urls/update`, {
method: 'POST',
headers: {
Accept: 'application/json',
@ -43,7 +43,7 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
...(token && { authorization: `Bearer ${token}` })
},
body: JSON.stringify({
url: url
urls: urls
})
})
.then(async (res) => {
@ -64,13 +64,13 @@ export const updateOpenAIUrl = async (token: string = '', url: string) => {
throw error;
}
return res.OPENAI_API_BASE_URL;
return res.OPENAI_API_BASE_URLS;
};
export const getOpenAIKey = async (token: string = '') => {
export const getOpenAIKeys = async (token: string = '') => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/key`, {
const res = await fetch(`${OPENAI_API_BASE_URL}/keys`, {
method: 'GET',
headers: {
Accept: 'application/json',
@ -96,13 +96,13 @@ export const getOpenAIKey = async (token: string = '') => {
throw error;
}
return res.OPENAI_API_KEY;
return res.OPENAI_API_KEYS;
};
export const updateOpenAIKey = async (token: string = '', key: string) => {
export const updateOpenAIKeys = async (token: string = '', keys: string[]) => {
let error = null;
const res = await fetch(`${OPENAI_API_BASE_URL}/key/update`, {
const res = await fetch(`${OPENAI_API_BASE_URL}/keys/update`, {
method: 'POST',
headers: {
Accept: 'application/json',
@ -110,7 +110,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
...(token && { authorization: `Bearer ${token}` })
},
body: JSON.stringify({
key: key
keys: keys
})
})
.then(async (res) => {
@ -131,7 +131,7 @@ export const updateOpenAIKey = async (token: string = '', key: string) => {
throw error;
}
return res.OPENAI_API_KEY;
return res.OPENAI_API_KEYS;
};
export const getOpenAIModels = async (token: string = '') => {

114
src/lib/components/chat/Settings/Connections.svelte
View file

@ -4,7 +4,12 @@
const dispatch = createEventDispatcher();
import { getOllamaUrls, getOllamaVersion, updateOllamaUrls } from '$lib/apis/ollama';
import { getOpenAIKey, getOpenAIUrl, updateOpenAIKey, updateOpenAIUrl } from '$lib/apis/openai';
import {
getOpenAIKeys,
getOpenAIUrls,
updateOpenAIKeys,
updateOpenAIUrls
} from '$lib/apis/openai';
import { toast } from 'svelte-sonner';
export let getModels: Function;
@ -16,12 +21,14 @@
let OPENAI_API_KEY = '';
let OPENAI_API_BASE_URL = '';
let OPENAI_API_KEYS = [''];
let OPENAI_API_BASE_URLS = [''];
let showOpenAI = false;
let showLiteLLM = false;
const updateOpenAIHandler = async () => {
OPENAI_API_BASE_URL = await updateOpenAIUrl(localStorage.token, OPENAI_API_BASE_URL);
OPENAI_API_KEY = await updateOpenAIKey(localStorage.token, OPENAI_API_KEY);
OPENAI_API_BASE_URLS = await updateOpenAIUrls(localStorage.token, OPENAI_API_BASE_URLS);
OPENAI_API_KEYS = await updateOpenAIKeys(localStorage.token, OPENAI_API_KEYS);
await models.set(await getModels());
};
@ -43,8 +50,8 @@
onMount(async () => {
if ($user.role === 'admin') {
OLLAMA_BASE_URLS = await getOllamaUrls(localStorage.token);
OPENAI_API_BASE_URL = await getOpenAIUrl(localStorage.token);
OPENAI_API_KEY = await getOpenAIKey(localStorage.token);
OPENAI_API_BASE_URLS = await getOpenAIUrls(localStorage.token);
OPENAI_API_KEYS = await getOpenAIKeys(localStorage.token);
}
});
</script>
@ -71,37 +78,74 @@
</div>
{#if showOpenAI}
<div>
<div class=" mb-2.5 text-sm font-medium">API Key</div>
<div class="flex w-full">
<div class="flex-1">
<input
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
placeholder="Enter OpenAI API Key"
bind:value={OPENAI_API_KEY}
autocomplete="off"
/>
</div>
</div>
</div>
<div class="flex flex-col gap-1">
{#each OPENAI_API_BASE_URLS as url, idx}
<div class="flex w-full gap-2">
<div class="flex-1">
<input
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
placeholder="API Base URL"
bind:value={url}
autocomplete="off"
/>
</div>
<div>
<div class=" mb-2.5 text-sm font-medium">API Base URL</div>
<div class="flex w-full">
<div class="flex-1">
<input
class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
placeholder="Enter OpenAI API Base URL"
bind:value={OPENAI_API_BASE_URL}
autocomplete="off"
/>
<div class="flex-1">
<input
class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
placeholder="API Key"
bind:value={OPENAI_API_KEYS[idx]}
autocomplete="off"
/>
</div>
<div class="self-center flex items-center">
{#if idx === 0}
<button
class="px-1"
on:click={() => {
OPENAI_API_BASE_URLS = [...OPENAI_API_BASE_URLS, ''];
OPENAI_API_KEYS = [...OPENAI_API_KEYS, ''];
}}
type="button"
>
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 16 16"
fill="currentColor"
class="w-4 h-4"
>
<path
d="M8.75 3.75a.75.75 0 0 0-1.5 0v3.5h-3.5a.75.75 0 0 0 0 1.5h3.5v3.5a.75.75 0 0 0 1.5 0v-3.5h3.5a.75.75 0 0 0 0-1.5h-3.5v-3.5Z"
/>
</svg>
</button>
{:else}
<button
class="px-1"
on:click={() => {
OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS.filter(
(url, urlIdx) => idx !== urlIdx
);
OPENAI_API_KEYS = OPENAI_API_KEYS.filter((key, keyIdx) => idx !== keyIdx);
}}
type="button"
>
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 16 16"
fill="currentColor"
class="w-4 h-4"
>
<path d="M3.75 7.25a.75.75 0 0 0 0 1.5h8.5a.75.75 0 0 0 0-1.5h-8.5Z" />
</svg>
</button>
{/if}
</div>
</div>
</div>
<div class="mt-2 text-xs text-gray-400 dark:text-gray-500">
WebUI will make requests to <span class=" text-gray-200"
>'{OPENAI_API_BASE_URL}/chat'</span
>
</div>
<div class=" mb-1 text-xs text-gray-400 dark:text-gray-500">
WebUI will make requests to <span class=" text-gray-200">'{url}/models'</span>
</div>
{/each}
</div>
{/if}
</div>

4
src/lib/components/documents/AddDocModal.svelte
View file

@ -138,7 +138,9 @@
<button
class="w-full text-sm font-medium py-3 bg-gray-850 hover:bg-gray-800 text-center rounded-xl"
type="button"
on:click={uploadDocInputElement.click}
on:click={() => {
uploadDocInputElement.click();
}}
>
{#if inputFiles}
{inputFiles.length > 0 ? `${inputFiles.length}` : ''} document(s) selected.

3
src/routes/(app)/+layout.svelte
View file

@ -97,14 +97,11 @@
if (localDBChats.length === 0) {
await deleteDB('Chats');
}
console.log('localdb', localDBChats);
}
console.log(DB);
} catch (error) {
// IndexedDB Not Found
console.log('IDB Not Found');
}
console.log();