Merge pull request #69 from Safe-Harbor-Cybersecurity/huggingface

Create huggingface.md

docs/huggingface.md

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+# Running in Huggingface
+
+To run the LLMGuardian application on Huggingface, follow these steps:
+
+## Setting Up the Environment
+
+1. **Fork the Repository**:
+   - Fork the LLMGuardian repository to your own GitHub account.
+
+2. **Clone the Repository**:
+   ```sh
+   git clone https://github.com/your-username/LLMGuardian.git
+   cd LLMGuardian
+   ```
+
+3. **Create and Activate a Virtual Environment**:
+   ```sh
+   python -m venv venv
+   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
+   ```
+
+4. **Install Dependencies**:
+   ```sh
+   pip install -r requirements/base.txt
+   ```
+
+## Setting Up the Backend (FastAPI)
+
+1. **Create FastAPI Backend**:
+   - Implement model scanning endpoints.
+   - Add prompt injection detection.
+   - Include input/output validation.
+   - Implement rate limiting middleware.
+   - Add authentication checks.
+
+2. **Install FastAPI and Uvicorn**:
+   ```sh
+   pip install fastapi uvicorn
+   ```
+
+3. **Create `main.py` for FastAPI**:
+   ```python
+   from fastapi import FastAPI, HTTPException
+
+   app = FastAPI()
+
+   @app.get("/")
+   async def read_root():
+       return {"message": "Welcome to LLMGuardian"}
+
+   # Add your endpoints here
+
+   if __name__ == "__main__":
+       import uvicorn
+       uvicorn.run(app, host="0.0.0.0", port=8000)
+   ```
+
+4. **Run the FastAPI Server**:
+   ```sh
+   uvicorn main:app --reload
+   ```
+
+## Setting Up the Frontend (Gradio)
+
+1. **Create Gradio UI Frontend**:
+   - Implement model security testing interface.
+   - Add vulnerability scanning dashboard.
+   - Include real-time attack detection.
+   - Add configuration settings.
+
+2. **Install Gradio**:
+   ```sh
+   pip install gradio
+   ```
+
+3. **Create `app.py` for Gradio**:
+   ```python
+   import gradio as gr
+
+   def security_test_interface(prompt):
+       # Implement your security test logic here
+       return "Security test result"
+
+   iface = gr.Interface(fn=security_test_interface, inputs="text", outputs="text")
+   iface.launch()
+   ```
+
+4. **Run the Gradio Interface**:
+   ```sh
+   python app.py
+   ```
+
+## Deploying to Huggingface Spaces
+
+1. **Create a New Space**:
+   - Go to [Huggingface Spaces](https://huggingface.co/spaces) and create a new Space.
+   - Choose Gradio as the SDK.
+
+2. **Push Your Code to the Space**:
+   - Add your Huggingface Space as a remote repository:
+     ```sh
+     git remote add space https://huggingface.co/spaces/your-username/LLMGuardian
+     ```
+   - Push your code to the Space:
+     ```sh
+     git push space main
+     ```
+
+3. **Configure the Space**:
+   - Ensure that the `app.py` file is in the root directory of your repository.
+   - Huggingface will automatically detect and run the `app.py` file.
+
+## Conclusion
+
+Your LLMGuardian application should now be running on Huggingface Spaces with a FastAPI backend and a Gradio frontend. You can access it via the URL provided by Huggingface Spaces.