done

README.md

@@ -1,3 +1,178 @@
+# PlateMate - Your Culinary Assistant 🍽️
+
+PlateMate is a smart and interactive web app that uses state-of-the-art AI technologies to classify food images, provide key ingredients for your favorite dishes, and suggest healthier alternatives to enjoy guilt-free meals. Whether you're a home chef looking for inspiration or a health enthusiast, PlateMate has something for everyone.
+
+---
+
+## Features
+
+1. **Food Image Classification**  
+   Upload an image of any dish, and DPlateMate will identify the food with a high level of confidence. It uses a pretrained image classification model tailored for food.
+
+2. **Ingredient Suggestion**  
+   Once classified, PlateMate provides a concise, AI-generated list of main ingredients for the dish, helping you understand what goes into your favorite foods.
+
+3. **Healthier Alternatives**  
+   PlateMate doesn't stop at identification—it also suggests healthier alternatives for the classified dish using the power of OpenAI's GPT models.
+
+4. **Sample Images**  
+   Choose from predefined food images to try the app's features instantly.
+
+5. **Interactive Sidebar**  
+   Learn more about the AI models powering PlateMate and their purpose in making your culinary journey exciting and informative.
+
+---
+
+## Technologies Used
+
+1. **Streamlit**: For a responsive and user-friendly web interface.
+2. **Hugging Face Transformers**: To classify food images using a custom pretrained model (`Shresthadev403/food-image-classification`).
+3. **Hugging Face Inference API**: To generate key ingredients for classified dishes.
+4. **OpenAI GPT-4**: To provide healthier recipe alternatives and insights.
+5. **Python Libraries**: PIL for image handling, os for file operations.
+
+---
+
+## Installation Guide
+
+### Prerequisites
+- Python 3.8 or later
+- Pip
+- Streamlit
+
+### Steps
+1. Clone the repository:
+   ```bash
+   git clone https://huggingface.co/spaces/LuckyHappyFish/CTP_Project
+   cd CTP_Project
+   ```
+
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. Add your API keys:
+   - Create a `.streamlit/secrets.toml` file in the project directory:
+     ```toml
+     [HF_API_KEY]
+     value = "your_huggingface_api_key"
+
+     [openai]
+     value = "your_openai_api_key"
+     ```
+
+4. Run the app:
+   ```bash
+   streamlit run app.py
+   ```
+
+5. Open the app in your browser at `http://localhost:8501`.
+
+---
+
+## How It Works
+
+### **1. Upload Image**
+Users can upload a food image or select a sample. The app displays the image in the interface.
+
+### **2. Image Classification**
+Using the Hugging Face image classification pipeline, the app identifies the food item in the image.
+
+### **3. Ingredient Generation**
+The Hugging Face Qwen NLP model suggests the main ingredients for the identified dish.
+
+### **4. Healthier Alternatives**
+OpenAI GPT-4 generates a healthy recipe alternative for the dish, explaining why it is a better choice.
+
+---
+
+## Architecture Diagram
+
+```plaintext
++-----------------------------------------------------------+
+|                                                           |
+|                    PlateMate Architecture                 |
+|                                                           |
++-----------------------------------------------------------+
+|                                                           |
+|  User Interface (Streamlit)                              |
+|      - Upload Image                                       |
+|      - Display Results                                    |
+|                                                           |
++-----------------------------------------------------------+
+|                                                           |
+|     Backend Processing                                    |
+|      - Image Classification (Hugging Face Transformers)  |
+|      - Ingredients (Hugging Face Inference API)          |
+|      - Healthy Recipes (OpenAI GPT-4)                    |
+|                                                           |
++-----------------------------------------------------------+
+|                                                           |
+|  External Services                                        |
+|      - Hugging Face API                                   |
+|      - OpenAI API                                         |
+|                                                           |
++-----------------------------------------------------------+
+```
+
+---
+
+## Example Use Case
+
+1. **Upload an Image**  
+   A user uploads an image of a pizza.  
+
+2. **Classification Output**  
+   - Food: Pizza (97.65% confidence)
+
+3. **Ingredients**  
+   - Generated: Flour, cheese, tomato sauce, olive oil, basil.
+
+4. **Healthier Alternative**  
+   - "Try a cauliflower crust pizza with reduced-fat cheese and fresh vegetables. It's lower in carbs and calories while being equally delicious!"
+
+---
+
+## Future Enhancements
+
+- **Multi-dish Recognition**: Support for identifying multiple dishes in a single image.
+- **Nutritional Analysis**: Detailed breakdown of macronutrients and calories.
+- **Meal Planning**: Suggesting weekly meal plans based on user preferences.
+
+---
+
+## Screenshots
+
+**1. Homepage**
+![Homepage](docs/homepage.png)
+
+**2. Classification Result**
+![Classification Result](docs/classification_result.png)
+
+---
+
+## Contributing
+
+We welcome contributions! To contribute:
+1. Fork the repository.
+2. Create a feature branch.
+3. Submit a pull request with a detailed description of your changes.
+
+---
+
+## License
+
+This project is licensed under the MIT License.
+
+---
+
+## Contact
+
+Developed by Muhammad Hassan Butt.  
+Feel free to reach out via [GitHub](https://github.com/yourusername) or [LinkedIn](https://linkedin.com/in/yourprofile).  
+
+Happy cooking with **PlateMate**! 🎉
 ---
 title: CTP Project
 emoji: ⚡

app.py

@@ -8,7 +8,7 @@ from openai.error import OpenAIError  # For specific exception handling
 
 # Set page configuration
 st.set_page_config(
-    page_title="DelishAI - Your Culinary Assistant",
+    page_title="Plate Mate - Your Culinary Assistant",
     page_icon="🍽️",
     layout="centered",
     initial_sidebar_state="expanded",