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README.md

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-title: FirstAI
-emoji: 💬
+title: Multimodal AI Backend Service
+emoji: 🚀
 colorFrom: yellow
 colorTo: purple
-sdk: gradio
-sdk_version: 5.0.1
-app_file: app.py
+sdk: fastapi
+sdk_version: 0.100.0
+app_file: backend_service.py
 pinned: false
 ---
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+# firstAI - Multimodal AI Backend 🚀
+
+A powerful AI backend service with **multimodal capabilities** - supporting both text generation and image analysis using transformers pipelines.
+
+## 🎉 Features
+
+### 🤖 Dual AI Models
+
+- **Text Generation**: Microsoft DialoGPT-medium for conversations
+- **Image Analysis**: Salesforce BLIP for image captioning and visual Q&A
+
+### 🖼️ Multimodal Support
+
+- Process text-only messages
+- Analyze images from URLs
+- Combined image + text conversations
+- OpenAI Vision API compatible format
+
+### 🔧 Production Ready
+
+- FastAPI backend with automatic docs
+- Comprehensive error handling
+- Health checks and monitoring
+- PyTorch with MPS acceleration (Apple Silicon)
+
+## 🚀 Quick Start
+
+### 1. Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 2. Start the Service
+
+```bash
+python backend_service.py
+```
+
+### 3. Test Multimodal Capabilities
+
+```bash
+python test_final.py
+```
+
+The service will start on **http://localhost:8001** with both text and vision models loaded.
+
+## 💡 Usage Examples
+
+### Text-Only Chat
+
+```bash
+curl -X POST http://localhost:8001/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "microsoft/DialoGPT-medium",
+    "messages": [{"role": "user", "content": "Hello!"}]
+  }'
+```
+
+### Image Analysis
+
+```bash
+curl -X POST http://localhost:8001/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "Salesforce/blip-image-captioning-base",
+    "messages": [
+      {
+        "role": "user",
+        "content": [
+          {
+            "type": "image",
+            "url": "https://example.com/image.jpg"
+          }
+        ]
+      }
+    ]
+  }'
+```
+
+### Multimodal (Image + Text)
+
+```bash
+curl -X POST http://localhost:8001/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "Salesforce/blip-image-captioning-base",
+    "messages": [
+      {
+        "role": "user",
+        "content": [
+          {
+            "type": "image",
+            "url": "https://example.com/image.jpg"
+          },
+          {
+            "type": "text",
+            "text": "What do you see in this image?"
+          }
+        ]
+      }
+    ]
+  }'
+```
+
+## 🔧 Technical Details
+
+### Architecture
+
+- **FastAPI** web framework
+- **Transformers** pipeline for AI models
+- **PyTorch** backend with GPU/MPS support
+- **Pydantic** for request/response validation
+
+### Models
+
+- **Text**: microsoft/DialoGPT-medium
+- **Vision**: Salesforce/blip-image-captioning-base
+
+### API Endpoints
+
+- `GET /` - Service information
+- `GET /health` - Health check
+- `GET /v1/models` - List available models
+- `POST /v1/chat/completions` - Chat completions (text/multimodal)
+- `GET /docs` - Interactive API documentation
+
+## 🧪 Testing
+
+Run the comprehensive test suite:
+
+```bash
+python test_final.py
+```
+
+Test individual components:
+
+```bash
+python test_multimodal.py  # Basic multimodal tests
+python test_pipeline.py    # Pipeline compatibility
+```
+
+## 📦 Dependencies
+
+Key packages:
+
+- `fastapi` - Web framework
+- `transformers` - AI model pipelines
+- `torch` - PyTorch backend
+- `Pillow` - Image processing
+- `accelerate` - Model acceleration
+- `requests` - HTTP client
+
+## 🎯 Integration Complete
+
+This project successfully integrates:
+✅ **Transformers image-text-to-text pipeline**  
+✅ **OpenAI Vision API compatibility**  
+✅ **Multimodal message processing**  
+✅ **Production-ready FastAPI service**
+
+See `MULTIMODAL_INTEGRATION_COMPLETE.md` for detailed integration documentation.
+
+- PyTorch with MPS acceleration (Apple Silicon) AI Backend Service
+  emoji: �
+  colorFrom: yellow
+  colorTo: purple
+  sdk: fastapi
+  sdk_version: 0.100.0
+  app_file: backend_service.py
+  pinned: false
+
+---
+
+# AI Backend Service 🚀
+
+**Status: ✅ CONVERSION COMPLETE!**
+
+Successfully converted from a non-functioning Gradio HuggingFace app to a production-ready FastAPI backend service with OpenAI-compatible API endpoints.
+
+## Quick Start
+
+### 1. Setup Environment
+
+```bash
+# Activate the virtual environment
+source gradio_env/bin/activate
+
+# Install dependencies (already done)
+pip install -r requirements.txt
+```
+
+### 2. Start the Backend Service
+
+```bash
+python backend_service.py --port 8000 --reload
+```
+
+### 3. Test the API
+
+```bash
+# Run comprehensive tests
+python test_api.py
+
+# Or try usage examples
+python usage_examples.py
+```
+
+## API Endpoints
+
+| Endpoint               | Method | Description                         |
+| ---------------------- | ------ | ----------------------------------- |
+| `/`                    | GET    | Service information                 |
+| `/health`              | GET    | Health check                        |
+| `/v1/models`           | GET    | List available models               |
+| `/v1/chat/completions` | POST   | Chat completion (OpenAI compatible) |
+| `/v1/completions`      | POST   | Text completion                     |
+
+## Example Usage
+
+### Chat Completion
+
+```bash
+curl -X POST http://localhost:8000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "microsoft/DialoGPT-medium",
+    "messages": [
+      {"role": "user", "content": "Hello! How are you?"}
+    ],
+    "max_tokens": 150,
+    "temperature": 0.7
+  }'
+```
+
+### Streaming Chat
+
+```bash
+curl -X POST http://localhost:8000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "microsoft/DialoGPT-medium",
+    "messages": [
+      {"role": "user", "content": "Tell me a joke"}
+    ],
+    "stream": true
+  }'
+```
+
+## Files
+
+- **`app.py`** - Original Gradio ChatInterface (still functional)
+- **`backend_service.py`** - New FastAPI backend service ⭐
+- **`test_api.py`** - Comprehensive API testing
+- **`usage_examples.py`** - Simple usage examples
+- **`requirements.txt`** - Updated dependencies
+- **`CONVERSION_COMPLETE.md`** - Detailed conversion documentation
+
+## Features
+
+✅ **OpenAI-Compatible API** - Drop-in replacement for OpenAI API  
+✅ **Async FastAPI** - High-performance async architecture  
+✅ **Streaming Support** - Real-time response streaming  
+✅ **Error Handling** - Robust error handling with fallbacks  
+✅ **Production Ready** - CORS, logging, health checks  
+✅ **Docker Ready** - Easy containerization  
+✅ **Auto-reload** - Development-friendly auto-reload  
+✅ **Type Safety** - Full type hints with Pydantic validation
+
+## Service URLs
+
+- **Backend Service**: http://localhost:8000
+- **API Documentation**: http://localhost:8000/docs
+- **OpenAPI Spec**: http://localhost:8000/openapi.json
+
+## Model Information
+
+- **Current Model**: `microsoft/DialoGPT-medium`
+- **Type**: Conversational AI model
+- **Provider**: HuggingFace Inference API
+- **Capabilities**: Text generation, chat completion
+
+## Architecture
+
+```
+┌─────────────────────┐    ┌──────────────────────┐    ┌─────────────────────┐
+│   Client Request    │───▶│   FastAPI Backend    │───▶│  HuggingFace API    │
+│  (OpenAI format)    │    │  (backend_service)   │    │  (DialoGPT-medium)  │
+└─────────────────────┘    └──────────────────────┘    └─────────────────────┘
+                                       │
+                                       ▼
+                           ┌──────────────────────┐
+                           │   OpenAI Response    │
+                           │   (JSON/Streaming)   │
+                           └──────────────────────┘
+```
+
+## Development
+
+The service includes:
+
+- **Auto-reload** for development
+- **Comprehensive logging** for debugging
+- **Type checking** for code quality
+- **Test suite** for reliability
+- **Error handling** for robustness
+
+## Production Deployment
+
+Ready for production with:
+
+- **Environment variables** for configuration
+- **Health check endpoints** for monitoring
+- **CORS support** for web applications
+- **Docker compatibility** for containerization
+- **Structured logging** for observability
+
+---
+
+**🎉 Conversion Status: COMPLETE!**  
+Successfully transformed from broken Gradio app to production-ready AI backend service.
+
+For detailed conversion documentation, see [`CONVERSION_COMPLETE.md`](CONVERSION_COMPLETE.md).

requirements.txt

@@ -1 +1,10 @@
-huggingface_hub==0.25.2
+gradio>=5.41.0
+huggingface_hub>=0.34.0
+transformers>=4.36.0
+torch>=2.0.0
+Pillow>=10.0.0
+requests>=2.31.0
+accelerate>=0.24.0
+fastapi>=0.100.0
+uvicorn[standard]>=0.23.0
+pydantic>=2.0.0