This project is an simple AI chatbot that can communicate using various Language Models (LLMs) and optionally convert responses to speech.

• Chat with different AI models from providers like OpenAI and TogetherAI
• Optional Text-to-Speech (TTS) for AI responses
• Customizable conversation settings (e.g., temperature, max tokens)
• Support for streaming responses
• Easy-to-use command-line interface

• Python 3.7 or higher
• API keys for the services you want to use (OpenAI, TogetherAI, ElevenLabs, etc.)

1. Clone this repository:

   git clone https://github.com/meta-fx/Terminal-Chatbot
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up your API keys as environment variables:

   • For OpenAI: export OPENAI_API_KEY="your-api-key-here"
   • For TogetherAI: export TOGETHER_API_KEY="your-api-key-here"
   • For ElevenLabs TTS: export ELEVEN_API_KEY="your-api-key-here"

Run the chatbot using the following command:

python main.py [options]

Options:

• --provider: Choose the AI provider (default: together)
• --model: Specify the AI model to use
• --temperature: Set the response randomness (0.0 to 2.0, default: 0.7)
• --max-tokens: Set the maximum response length
• --stream: Enable response streaming
• --tts: Enable Text-to-Speech (choices: elevenlabs, streamelements, polly)
• --voice: Specify the TTS voice to use

You can customize the chatbot's initial behavior by editing the system_prompt.txt file. This sets the context for the AI at the start of each conversation.

1. Basic chat with TogetherAI:

   python main.py
   

2. Chat with OpenAI's GPT-4 and Text-to-Speech:

   python main.py --provider openai --model gpt-4o-mini --tts elevenlabs --voice Sarah
   

3. Streaming chat with custom settings:

   python main.py --provider together --model meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo --temperature 0.9 --max-tokens 150 --stream
   

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License - see the LICENSE file for details.

For updates and more information, follow us on Twitter: @pogtx_

Visit our project repository: Terminal Chatbot on GitHub