This project sets up a conversation between two AI agents with contrasting personalities or belief systems. Each bot responds based on a custom instruction set loaded from a JSON file. The conversation is saved step-by-step, and can be read aloud using text-to-speech (TTS).

• 🔁 Two AI bots talking to each other
• 🧠 Each bot uses a unique instruction/personality
• 📁 Full conversation saved in bot_conversation.json
• 🔊 Read messages out loud using pyttsx3 (offline TTS)
• 🔐 Supports separate API keys for each bot to avoid rate limits

1. Install dependencies:

   pip install langchain langchain-google-genai pyttsx3 python-dotenv

2. Set your API keys: Create a .env file with:

   MODEL_API_KEY_1=your_google_api_key_1
   MODEL_API_KEY_2=your_google_api_key_2
   

3. Add bot instructions: Create a bot_instructions.json:

   {
     "bot1": "You are a calm and logical philosopher who values reason and ethics.",
     "bot2": "You are a bold realist who believes in results over ideals."
   }

Run the main simulation:

python dual_bot_simulator.py

Run TTS to hear the conversation:

python read_conversation_tts.py

• Bots are powered by Google Generative AI (gemini-2.0-flash).
• Each bot can use a separate API key to avoid quota issues.
• Personalities can be modified easily via the JSON file.