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Add API key authentication and tech specifications document
Browse files- .gitignore +1 -0
- Dockerfile +2 -0
- chat.html +8 -0
- main.py +19 -2
- static/script.js +23 -1
- static/style.css +35 -0
- tech_spec.md +181 -0
.gitignore
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"__pycache__/"
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Dockerfile
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@@ -8,6 +8,8 @@ ENV OLLAMA_MODEL=qwen3:4b
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# --- ENVIRONMENT VARIABLES ---
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ENV OLLAMA_HOST=0.0.0.0
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ENV OLLAMA_ORIGINS='*'
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# 1. Install Python and PIP
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RUN apt-get update && apt-get install -y python3 python3-pip curl
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# --- ENVIRONMENT VARIABLES ---
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ENV OLLAMA_HOST=0.0.0.0
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ENV OLLAMA_ORIGINS='*'
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# Optional: Set your own API key as environment variable, otherwise one will be auto-generated
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# ENV OLLAMA_API_KEY=your_secure_api_key_here
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# 1. Install Python and PIP
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RUN apt-get update && apt-get install -y python3 python3-pip curl
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chat.html
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@@ -8,6 +8,14 @@
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</head>
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<body>
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<div id="chat-container">
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<div id="chat-window">
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<ul id="message-list"></ul>
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</div>
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</head>
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<body>
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<div id="chat-container">
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<div id="header">
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<h1>Ollama Chat</h1>
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<div id="api-key-section">
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<label for="api-key-input">API Key:</label>
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<input type="password" id="api-key-input" placeholder="Enter API key">
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<button id="save-api-key">Save</button>
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</div>
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</div>
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<div id="chat-window">
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<ul id="message-list"></ul>
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</div>
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main.py
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import requests
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from fastapi import FastAPI, Request, HTTPException
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from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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OLLAMA_API_URL = "http://localhost:11434"
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app = FastAPI()
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app.mount("/static", StaticFiles(directory="static"), name="static")
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@app.post("/chat_api")
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async def chat_endpoint(request: Request):
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body = await request.json()
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model = body.get("model", "qwen3:4b")
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prompt = body.get("prompt")
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import secrets
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import os
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import requests
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from fastapi import FastAPI, Request, HTTPException, Depends
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from fastapi.responses import FileResponse, RedirectResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
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# Generate a secure API key if not provided as environment variable
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API_KEY = os.getenv("OLLAMA_API_KEY") or secrets.token_urlsafe(32)
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print(f"API Key: {API_KEY}") # This will be shown in the console during startup
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OLLAMA_API_URL = "http://localhost:11434"
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app = FastAPI()
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security = HTTPBearer()
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app.mount("/static", StaticFiles(directory="static"), name="static")
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def verify_api_key(credentials: HTTPAuthorizationCredentials = Depends(security)):
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"""Verify that the provided API key is valid"""
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if credentials.credentials != API_KEY:
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raise HTTPException(
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status_code=401,
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detail="Invalid API key"
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)
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return credentials.credentials
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@app.post("/chat_api")
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async def chat_endpoint(request: Request, api_key: str = Depends(verify_api_key)):
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body = await request.json()
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model = body.get("model", "qwen3:4b")
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prompt = body.get("prompt")
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static/script.js
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const messageList = document.getElementById('message-list');
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const messageInput = document.getElementById('message-input');
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const sendButton = document.getElementById('send-button');
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sendButton.addEventListener('click', sendMessage);
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messageInput.addEventListener('keydown', (event) => {
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if (event.key === 'Enter') {
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fetch('/chat_api', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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model: 'qwen3:4b', // You can change the model here
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const messageList = document.getElementById('message-list');
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const messageInput = document.getElementById('message-input');
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const sendButton = document.getElementById('send-button');
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const apiKeyInput = document.getElementById('api-key-input');
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const saveApiKeyButton = document.getElementById('save-api-key');
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// Get API key from localStorage
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let apiKey = localStorage.getItem('ollama_api_key');
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if (apiKey) {
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apiKeyInput.value = apiKey;
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}
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// Save API key button event
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saveApiKeyButton.addEventListener('click', () => {
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const newApiKey = apiKeyInput.value.trim();
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if (newApiKey) {
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localStorage.setItem('ollama_api_key', newApiKey);
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apiKey = newApiKey;
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alert('API key saved successfully!');
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} else {
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alert('Please enter a valid API key');
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}
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});
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// Send message function
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sendButton.addEventListener('click', sendMessage);
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messageInput.addEventListener('keydown', (event) => {
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if (event.key === 'Enter') {
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fetch('/chat_api', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${apiKey}`
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},
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body: JSON.stringify({
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model: 'qwen3:4b', // You can change the model here
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static/style.css
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border-right: 1px solid #ccc;
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}
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#chat-window {
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flex-grow: 1;
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overflow-y: auto;
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border-right: 1px solid #ccc;
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}
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#header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 10px 20px;
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border-bottom: 1px solid #ccc;
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background-color: #f9f9f9;
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}
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#header h1 {
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margin: 0;
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font-size: 1.5em;
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}
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#api-key-section {
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display: flex;
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align-items: center;
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gap: 10px;
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}
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#api-key-input {
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padding: 5px;
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border: 1px solid #ccc;
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border-radius: 3px;
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}
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#save-api-key {
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background-color: #007cba;
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color: white;
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border: none;
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padding: 5px 10px;
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border-radius: 3px;
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cursor: pointer;
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}
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#chat-window {
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flex-grow: 1;
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overflow-y: auto;
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tech_spec.md
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# OllamaSpace Technical Specifications
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## Project Overview
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OllamaSpace is a web-based chat application that serves as a frontend interface for interacting with Ollama language models. The application provides a real-time chat interface where users can communicate with AI models through a web browser.
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## Architecture
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### Backend
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- **Framework**: FastAPI (Python)
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- **API Gateway**: Acts as a proxy between the frontend and Ollama API
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- **Streaming**: Supports real-time streaming of model responses
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- **Default Model**: qwen3:4b
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### Frontend
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- **Technology**: Pure HTML/CSS/JavaScript (no frameworks)
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- **Interface**: Simple chat interface with message history
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- **Interaction**: Real-time message streaming with typing indicators
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- **Styling**: Clean, minimal design with distinct user/bot message styling
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## Components
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### main.py
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- **Framework**: FastAPI
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- **Authentication**: Implements Bearer token authentication using HTTPBearer
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- **Endpoints**:
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- `GET /` - Redirects to `/chat`
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- `GET /chat` - Serves the chat HTML page
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- `POST /chat_api` - API endpoint that forwards requests to Ollama (requires authentication)
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- **Functionality**:
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- Proxies requests to local Ollama API (http://localhost:11434)
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- Streams model responses back to the frontend
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- Handles error cases and validation
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- Auto-generates secure API key if not provided via environment variable
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### chat.html
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- **Template**: HTML structure for the chat interface with API key management
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- **Layout**:
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- Header with API key input and save button
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| 39 |
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- Chat window area with message history
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- Message input field
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- Send button
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- **Static Assets**: Links to CSS and JavaScript files
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### static/script.js
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- **Features**:
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- Real-time message streaming from the API
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- Message display in chat format
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| 48 |
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- Enter key support for sending messages
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- Stream parsing to handle JSON responses
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- API key management with localStorage persistence
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- API key input UI with save functionality
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- **API Communication**:
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- Includes API key in Authorization header as Bearer token
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- POSTs to `/chat_api` endpoint
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- Receives streaming responses and displays incrementally
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- Handles error cases gracefully
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### static/style.css
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- **Design**: Minimal, clean chat interface with API key management section
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- **Styling**:
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- Distinct colors for user vs. bot messages
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- Responsive layout
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- API key section in header with input field and save button
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- Auto-scrolling to latest messages
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## Deployment
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| 67 |
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### Dockerfile
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| 69 |
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- **Base Image**: ollama/ollama
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| 70 |
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- **Environment**: Sets up Ollama server and FastAPI gateway
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| 71 |
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- **Port Configuration**: Listens on port 7860 (Hugging Face Spaces default)
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- **Model Setup**: Downloads specified model during build process
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| 73 |
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- **Dependencies**: Installs Python, FastAPI, and related libraries
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| 74 |
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### start.sh
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| 76 |
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- **Initialization Sequence**:
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| 77 |
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1. Starts Ollama server in background
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| 78 |
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2. Health checks the Ollama server
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| 79 |
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3. Starts FastAPI gateway on port 7860
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| 80 |
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- **Error Handling**: Waits for Ollama to be ready before starting the gateway
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| 81 |
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- **API Key**: If auto-generated, the API key will be displayed in the console logs during startup
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| 82 |
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## Configuration
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| 84 |
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| 85 |
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### Environment Variables
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| 86 |
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- `OLLAMA_HOST`: 0.0.0.0 (allows external connections)
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| 87 |
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- `OLLAMA_ORIGINS`: '*' (allows CORS requests)
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| 88 |
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- `OLLAMA_MODEL`: qwen3:4b (default model, can be overridden)
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| 89 |
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- `OLLAMA_API_KEY`: (optional) Secure API key (auto-generated if not provided)
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| 90 |
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### Default Model
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| 92 |
+
- **Model**: qwen3:4b
|
| 93 |
+
- **Fallback**: If no model specified in request, uses qwen3:4b
|
| 94 |
+
|
| 95 |
+
### API Key Management
|
| 96 |
+
- **Generation**: If no OLLAMA_API_KEY environment variable is set, a cryptographically secure random key is generated at startup
|
| 97 |
+
- **Access**: Generated API key is displayed in the application logs during startup
|
| 98 |
+
- **Frontend Storage**: API key is stored in browser's localStorage after being entered once
|
| 99 |
+
- **Authentication**: All API requests require a valid Bearer token in the Authorization header
|
| 100 |
+
|
| 101 |
+
## API Specification
|
| 102 |
+
|
| 103 |
+
### `/chat_api` Endpoint
|
| 104 |
+
- **Method**: POST
|
| 105 |
+
- **Authentication**: Requires Bearer token in Authorization header
|
| 106 |
+
- **Content-Type**: application/json
|
| 107 |
+
- **Request Headers**:
|
| 108 |
+
- `Authorization`: Bearer {your_api_key}
|
| 109 |
+
- `Content-Type`: application/json
|
| 110 |
+
- **Request Body**:
|
| 111 |
+
```json
|
| 112 |
+
{
|
| 113 |
+
"model": "string (optional, defaults to qwen3:4b)",
|
| 114 |
+
"prompt": "string (required)"
|
| 115 |
+
}
|
| 116 |
+
```
|
| 117 |
+
- **Response**: Streaming response with incremental model output
|
| 118 |
+
- **Error Handling**:
|
| 119 |
+
- Returns 401 for invalid API key
|
| 120 |
+
- Returns 400 for missing prompt
|
| 121 |
+
|
| 122 |
+
### Data Flow
|
| 123 |
+
1. Frontend sends user message to `/chat_api`
|
| 124 |
+
2. Backend forwards request to local Ollama API
|
| 125 |
+
3. Ollama processes request with specified model
|
| 126 |
+
4. Response is streamed back to frontend in real-time
|
| 127 |
+
5. Frontend displays response incrementally as it arrives
|
| 128 |
+
|
| 129 |
+
## Security Considerations
|
| 130 |
+
- **API Key Authentication**: Required for all API access using Bearer token authentication
|
| 131 |
+
- **Secure Key Generation**: API key is auto-generated using cryptographically secure random generator (secrets.token_urlsafe(32))
|
| 132 |
+
- **Configurable Keys**: API key can be set via environment variable (OLLAMA_API_KEY) or auto-generated
|
| 133 |
+
- **Storage**: Client-side API key stored in browser's localStorage
|
| 134 |
+
- **CORS**: Enabled for all origins (potential security concern in production)
|
| 135 |
+
- **Input Validation**: Validates presence of prompt parameter
|
| 136 |
+
- **Local API**: Communicates with Ollama through localhost only
|
| 137 |
+
- **Key Exposure**: Auto-generated API key is displayed in console logs during startup (should be secured in production)
|
| 138 |
+
|
| 139 |
+
## Performance Features
|
| 140 |
+
- **Streaming**: Real-time response streaming for better UX
|
| 141 |
+
- **Client-side Display**: Incremental message display as responses arrive
|
| 142 |
+
- **Efficient Communication**: Uses streaming HTTP responses to minimize latency
|
| 143 |
+
|
| 144 |
+
## Security Features
|
| 145 |
+
- **Authentication**: Bearer token authentication for all API endpoints
|
| 146 |
+
- **Key Generation**: Cryptographically secure random API key generation using secrets module
|
| 147 |
+
- **Key Storage**: API key stored in browser localStorage (with option to enter via UI)
|
| 148 |
+
- **Transport Security**: API key transmitted via Authorization header (should use HTTPS in production)
|
| 149 |
+
|
| 150 |
+
## Technologies Used
|
| 151 |
+
- **Backend**: Python, FastAPI
|
| 152 |
+
- **Frontend**: HTML5, CSS3, JavaScript (ES6+)
|
| 153 |
+
- **Containerization**: Docker
|
| 154 |
+
- **AI Model**: Ollama with qwen3:4b by default
|
| 155 |
+
- **Web Server**: Uvicorn ASGI server
|
| 156 |
+
|
| 157 |
+
## File Structure
|
| 158 |
+
```
|
| 159 |
+
OllamaSpace/
|
| 160 |
+
βββ main.py (FastAPI application)
|
| 161 |
+
βββ chat.html (Chat interface)
|
| 162 |
+
βββ start.sh (Container startup script)
|
| 163 |
+
βββ Dockerfile (Container configuration)
|
| 164 |
+
βββ README.md (Project description)
|
| 165 |
+
βββ static/
|
| 166 |
+
β βββ script.js (Frontend JavaScript)
|
| 167 |
+
β βββ style.css (Frontend styling)
|
| 168 |
+
```
|
| 169 |
+
|
| 170 |
+
## Build Process
|
| 171 |
+
1. Container built with Ollama and Python dependencies
|
| 172 |
+
2. Model specified by OLLAMA_MODEL environment variable is pre-pulled
|
| 173 |
+
3. Application files are copied into container
|
| 174 |
+
4. FastAPI dependencies are installed
|
| 175 |
+
5. Container starts with Ollama server and FastAPI gateway
|
| 176 |
+
|
| 177 |
+
## Deployment Target
|
| 178 |
+
- **Platform**: Designed for Hugging Face Spaces
|
| 179 |
+
- **Port**: 7860 (standard for Hugging Face Spaces)
|
| 180 |
+
- **Runtime**: Docker container
|
| 181 |
+
- **Model Serving**: Ollama with FastAPI gateway
|