Persona AI Chatbot

A Flask-based chatbot that mimics fictional characters' speaking styles using Google's Gemini AI. Users can select a character, and the AI will generate responses while staying in character.

Features

• Allows users to choose a fictional character and its source.
• Maintains conversation history for context-aware responses.
• Uses Google Gemini AI for text generation.
• Stores session data to maintain chat continuity.

Tech Stack

• Backend: Flask, Flask-Session
• AI Model: Google Gemini API
• Environment Management: dotenv
• Frontend: HTML/CSS (with Flask rendering)

Installation

1. Clone the Repository

git clone https://github.com/your-repo/persona-ai-chatbot.git
cd persona-ai-chatbot

2. Create a Virtual Environment

python3 -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install Dependencies

pip install flask flask-session google-generativeai python-dotenv

4. Create an .env File

Create a .env file in the root directory of the project and add the following content:

GEMINI_API_KEY=your_google_gemini_api_key_here

Replace your_google_gemini_api_key_here with your actual Gemini API key.

5. Run the Application

python app.py

Access the chatbot at http://127.0.0.1:5000/.

File Structure

persona-ai-chatbot/
│── env/                # Virtual environment folder
│── templates/          # HTML templates for frontend
│── Persona_AI.py       # Main Flask application file
│── .env                # Environment variables
│── README.md           # Project documentation

API Endpoints

POST /start

• Initializes a new session and sets the character.
• Request: { "character": "Yoda", "source": "Star Wars" }
• Response: { "message": "Character set to Yoda." }

POST /chat

• Sends a message and receives an in-character response.
• Request: { "message": "Hello there!" }
• Response: { "response": "Greetings, young padawan!" }

Contributing

Feel free to fork this repository and submit pull requests with improvements.