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+# Mistral-7B-Instruct v0.3 Advanced Chatbot (Gradio Version)
+
+This repository contains a comprehensive Gradio application that serves as an advanced chatbot powered by the Mistral-7B-Instruct v0.3 model from Hugging Face. It's optimized for deployment on Hugging Face Spaces.
+
+## Features
+
+- Interactive chat interface with Mistral-7B-Instruct v0.3
+- Multiple chat sessions management
+- Customizable system prompts
+- Adjustable generation parameters (temperature, max tokens, etc.)
+- File analysis for:
+  - CSV files
+  - Excel files
+  - Text files
+  - JSON files
+- Context-aware responses that can incorporate file data
+- JSON structure generation optimized for n8n workflows
+
+## Requirements
+
+- Python 3.8+
+- Required packages are listed in `requirements.txt`
+
+## Quick Start
+
+1. Clone this repository
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Run the application:
+   ```bash
+   python app.py
+   ```
+
+## Deployment to Hugging Face Spaces
+
+This application is designed to work well with Hugging Face Spaces:
+
+1. Create a new Space on Hugging Face (https://huggingface.co/spaces)
+2. Choose the "Gradio" framework
+3. Upload the files from this repository
+4. Make sure to select a GPU runtime for better performance
+
+## Usage Guide
+
+1. Start by clicking "Load Mistral-7B Model" in the interface
+2. Wait for the model to load completely (this may take a few minutes on first run)
+3. Type your message in the chat input field and press Send
+4. Create new chat sessions as needed
+5. Adjust system prompt and generation parameters for better results
+6. Upload files for analysis and incorporate their data in your prompts
+
+## Specialized for n8n JSON Generation
+
+The default system prompt is optimized for generating well-structured JSON for n8n workflows. You can:
+
+1. Ask the model to create complex JSON structures
+2. Request specific n8n node configurations
+3. Generate sample data in the correct format
+4. Validate and fix existing JSON for n8n compatibility
+
+## Model Configuration
+
+The application provides various configuration options:
+
+- **System Prompt**: Define how the AI should behave
+- **Temperature**: Control creativity (higher = more creative)
+- **Max Tokens**: Limit the length of responses
+- **Top P**: Nucleus sampling parameter
+- **Repetition Penalty**: Reduce repetition in responses
+
+## Notes
+
+- The first load of the model may take several minutes depending on your hardware
+- For Hugging Face Spaces, a GPU runtime is strongly recommended
+- The model requires approximately 14GB+ of VRAM for optimal performance
+
+## License
+
+This project is released under the MIT License.