| # Gemini Chatbot of Users (Me) | |
| A simple AI chatbot that represents **Rishabh Dubey** by leveraging Google Gemini API, Gradio for UI, and context from **summary.txt** and **Profile.pdf**. | |
| ## Screenshots | |
|  | |
| ## Features | |
| - Loads background and profile data to answer questions in character. | |
| - Uses Google Gemini for natural language responses. | |
| - Runs in Gradio interface for easy web deployment. | |
| ## Requirements | |
| - Python 3.10+ | |
| - API key for Google Gemini stored in `.env` file as `GOOGLE_API_KEY`. | |
| ## Installation | |
| 1. Clone this repo: | |
| ```bash | |
| https://github.com/rishabh3562/Agentic-chatbot-me.git | |
| ``` | |
| 2. Create a virtual environment: | |
| ```bash | |
| python -m venv venv | |
| source venv/bin/activate # On Windows: venv\Scripts\activate | |
| ``` | |
| 3. Install dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 4. Add your API key in a `.env` file: | |
| ``` | |
| GOOGLE_API_KEY=<your-api-key> | |
| ``` | |
| ## Usage | |
| Run locally: | |
| ```bash | |
| python app.py | |
| ``` | |
| The app will launch a Gradio interface at `http://127.0.0.1:7860`. | |
| ## Deployment | |
| This app can be deployed on: | |
| * **Render** or **Hugging Face Spaces** | |
| Make sure `.env` and static files (`summary.txt`, `Profile.pdf`) are included. | |
| --- | |
| **Note:** | |
| * Make sure you have `summary.txt` and `Profile.pdf` in the root directory. | |
| * Update `requirements.txt` with `python-dotenv` if not already present. | |
| --- | |