feat: Update README for Hugging Face Spaces deployment

README.md

@@ -11,29 +11,16 @@ app_port: 7860
 
 # Text Summarizer API
 
-A FastAPI-based text summarization service powered by Ollama and Llama 3.2 1B model.
-
-**🚀 Live Demo**: [https://huggingface.co/spaces/colin730/SummarizerApp](https://huggingface.co/spaces/colin730/SummarizerApp)
+A FastAPI-based text summarization service powered by Ollama and Mistral 7B model.
 
 ## 🚀 Features
 
 - **Fast text summarization** using local LLM inference
-- **Real-time streaming** with Server-Sent Events (SSE) for Android compatibility
 - **RESTful API** with FastAPI
 - **Health monitoring** and logging
 - **Docker containerized** for easy deployment
 - **Free deployment** on Hugging Face Spaces
 
-## 🌊 Streaming Benefits
-
-The streaming endpoint (`/api/v1/summarize/stream`) provides several advantages:
-
-- **Real-time feedback**: Users see text being generated as it happens
-- **Better UX**: No waiting for complete response before seeing results
-- **Android-friendly**: Uses Server-Sent Events (SSE) for easy mobile integration
-- **Progressive loading**: Content appears incrementally, improving perceived performance
-- **Error resilience**: Errors are sent as SSE events, maintaining connection
-
 ## 📡 API Endpoints
 
 ### Health Check
@@ -41,7 +28,7 @@ The streaming endpoint (`/api/v1/summarize/stream`) provides several advantages:
 GET /health
 ```
 
-### Summarize Text (Standard)
+### Summarize Text
 ```
 POST /api/v1/summarize
 Content-Type: application/json
@@ -49,33 +36,10 @@ Content-Type: application/json
 {
   "text": "Your long text to summarize here...",
   "max_tokens": 256,
-  "prompt": "Summarize the following text concisely:"
-}
-```
-
-### Summarize Text (Streaming)
-```
-POST /api/v1/summarize/stream
-Content-Type: application/json
-
-{
-  "text": "Your long text to summarize here...",
-  "max_tokens": 256,
-  "prompt": "Summarize the following text concisely:"
+  "temperature": 0.7
 }
 ```
 
-**Response Format**: Server-Sent Events (SSE)
-```
-data: {"content": "This", "done": false, "tokens_used": 1}
-
-data: {"content": " is", "done": false, "tokens_used": 2}
-
-data: {"content": " a", "done": false, "tokens_used": 3}
-
-data: {"content": " summary.", "done": true, "tokens_used": 4}
-```
-
 ### API Documentation
 - **Swagger UI**: `/docs`
 - **ReDoc**: `/redoc`
@@ -84,11 +48,11 @@ data: {"content": " summary.", "done": true, "tokens_used": 4}
 
 The service uses the following environment variables:
 
-- `OLLAMA_MODEL`: Model to use (default: `llama3.2:1b`)
-- `OLLAMA_HOST`: Ollama service host (default: `http://0.0.0.0:11434`)
-- `OLLAMA_TIMEOUT`: Request timeout in seconds (default: `60`)
-- `SERVER_HOST`: Server host (default: `127.0.0.1`)
-- `SERVER_PORT`: Server port (default: `8000`)
+- `OLLAMA_MODEL`: Model to use (default: `mistral:7b`)
+- `OLLAMA_HOST`: Ollama service host (default: `http://localhost:11434`)
+- `OLLAMA_TIMEOUT`: Request timeout in seconds (default: `30`)
+- `SERVER_HOST`: Server host (default: `0.0.0.0`)
+- `SERVER_PORT`: Server port (default: `7860`)
 - `LOG_LEVEL`: Logging level (default: `INFO`)
 
 ## 🐳 Docker Deployment
@@ -99,7 +63,7 @@ The service uses the following environment variables:
 docker-compose up --build
 
 # Or run directly
-docker build -t summarizer-app .
+docker build -f Dockerfile.hf -t summarizer-app .
 docker run -p 7860:7860 summarizer-app
 ```
 
@@ -108,11 +72,10 @@ This app is configured for deployment on Hugging Face Spaces using Docker SDK.
 
 ## 📊 Performance
 
-- **Model**: Llama 3.2 1B (~1GB RAM requirement)
-- **Startup time**: ~1-2 minutes (includes model download)
-- **Inference speed**: ~1-3 seconds per request
-- **Memory usage**: ~2GB RAM
-- **Streaming**: Real-time text generation with SSE for responsive user experience
+- **Model**: Mistral 7B (7GB RAM requirement)
+- **Startup time**: ~2-3 minutes (includes model download)
+- **Inference speed**: ~2-5 seconds per request
+- **Memory usage**: ~8GB RAM
 
 ## 🛠️ Development
 
@@ -122,7 +85,7 @@ This app is configured for deployment on Hugging Face Spaces using Docker SDK.
 pip install -r requirements.txt
 
 # Run locally
-uvicorn app.main:app --host 0.0.0.0 --port 8000
+uvicorn app.main:app --host 0.0.0.0 --port 7860
 ```
 
 ### Testing
@@ -136,13 +99,13 @@ pytest --cov=app
 
 ## 📝 Usage Examples
 
-### Python (Standard)
+### Python
 ```python
 import requests
 
 # Summarize text
 response = requests.post(
-    "https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summarize",
+    "https://your-space.hf.space/api/v1/summarize",
     json={
         "text": "Your long article or text here...",
         "max_tokens": 256
@@ -153,32 +116,9 @@ result = response.json()
 print(result["summary"])
 ```
 
-### Python (Streaming)
-```python
-import requests
-import json
-
-# Stream summarization
-response = requests.post(
-    "https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summarize/stream",
-    json={
-        "text": "Your long article or text here...",
-        "max_tokens": 256
-    },
-    stream=True
-)
-
-for line in response.iter_lines():
-    if line.startswith(b'data: '):
-        data = json.loads(line[6:])  # Remove 'data: ' prefix
-        print(data["content"], end='', flush=True)
-        if data["done"]:
-            break
-```
-
-### cURL (Standard)
+### cURL
 ```bash
-curl -X POST "https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summarize" \
+curl -X POST "https://your-space.hf.space/api/v1/summarize" \
   -H "Content-Type: application/json" \
   -d '{
     "text": "Your text to summarize...",
@@ -186,46 +126,6 @@ curl -X POST "https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summar
   }'
 ```
 
-### cURL (Streaming)
-```bash
-curl -N -X POST "https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summarize/stream" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "text": "Your text to summarize...",
-    "max_tokens": 256
-  }'
-```
-
-### Android (Kotlin)
-```kotlin
-// Add to build.gradle
-implementation("com.squareup.okhttp3:okhttp-sse:4.12.0")
-
-// Usage
-val client = OkHttpClient()
-val request = Request.Builder()
-    .url("https://huggingface.co/spaces/colin730/SummarizerApp/api/v1/summarize/stream")
-    .post(/* JSON body */)
-    .build()
-
-val eventSource = EventSources.createFactory(client)
-    .newEventSource(request, object : EventSourceListener() {
-        override fun onEvent(eventSource: EventSource, id: String?, type: String?, data: String) {
-            val chunk = JSONObject(data)
-            val content = chunk.getString("content")
-            val done = chunk.getBoolean("done")
-            
-            // Update UI with streaming content
-            runOnUiThread {
-                textView.append(content)
-                if (done) {
-                    // Streaming complete
-                }
-            }
-        }
-    })
-```
-
 ## 🔒 Security
 
 - Non-root user execution
@@ -246,7 +146,7 @@ The service includes:
 ### Common Issues
 
 1. **Model not loading**: Check if Ollama is running and model is pulled
-2. **Out of memory**: Ensure sufficient RAM (2GB+) for Llama 3.2 1B
+2. **Out of memory**: Ensure sufficient RAM (8GB+) for Mistral 7B
 3. **Slow startup**: Normal on first run due to model download
 4. **API errors**: Check logs via `/docs` endpoint
 
@@ -268,8 +168,3 @@ MIT License - see LICENSE file for details.
 ---
 
 **Deployed on Hugging Face Spaces** 🚀
-# Force restart Sat Oct  4 23:26:24 NZDT 2025
-# Restart trigger Sun Oct  5 00:17:11 NZDT 2025
-# Model update restart Sun Oct  5 01:10:33 NZDT 2025
-# Model restart Sun Oct  5 01:35:38 NZDT 2025
-# Force restart for 1B model Sun Oct  5 01:56:29 NZDT 2025