https://github.com/razamehar/ai-debate-simulator
https://github.com/razamehar/ai-debate-simulator
chatbot langchain openai python
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/razamehar/ai-debate-simulator
- Owner: razamehar
- License: mit
- Created: 2025-03-02T02:12:51.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-04-09T12:58:12.000Z (about 1 month ago)
- Last Synced: 2025-04-09T13:44:33.074Z (about 1 month ago)
- Topics: chatbot, langchain, openai, python
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AI Debate Simulator: Dynamic Model-Based Argumentation
This project enables a human moderator to oversee a debate between two AI models on a specified topic. Model1 argues in favor, while Model2 argues against. The moderator sets the topic and directs the discussion by selecting which model responds. The conversation is logged for review
## Description
The system allows the user to:
1. Initialize the conversation with a user name and topic.
2. Load two AI models to participate in the conversation.
3. Maintain a chat history with messages from both models and the user.
4. Choose which model should respond during the conversation.
5. Print the chat history at the end of the session.
## Code Flow
1. **Initialization:**
- The `initialize` function sets up the user name and topic.
- The `load_models` function loads the two AI models (`model1` and `model2`).
2. **System Message:**
- The system sends an introductory message, detailing the structure of the conversation. It specifies that responses should be based on the topic and interact with both models.
3. **User Interaction:**
- The user inputs a message.
- The system checks if the input mentions "model1" or "model2" to decide which model should respond.
- The selected model's response is appended to the chat history.
- The user can type "exit" to end the conversation.
4. **Chat History:**
- The conversation is stored in `chat_history`, and once the conversation ends, the history is displayed.
## Features
- User can interact with two models and guide the conversation by choosing which model should respond.
- The conversation is logged and can be reviewed later.
- The system is highly modular with separate functions for initialization and model loading.
## Requirements
- Python 3.x
- langchain_core
- AIs models for `model1` and `model2`
## How to Run
1. Ensure that the required dependencies are installed.
2. Run the script.
3. Enter input commands when prompted, such as:
- "Model1" or "Model2" to make one of the AI models respond.
- "exit" to end the conversation.
## Example Usage
```bash
$ python conversation_system.py
Enter your name: Raza
Hello Raza! You will act as the moderator, facilitating a discussion between OpenAI and Llama. You can start by providing your name, a topic for the chat, and throughout the session, you may ask either model to respond.
Raza, please enter a topic name for the chat or type 'exit' to leave: Can AI surpass human level intelligence?
That's an interesting topic, Raza. The stage is all yours. Please type 'exit' to leave.
Raza: What do you have to say about the topic, Model1?
Model1: It's possible for AI to match human intelligence in specific tasks, yet surpassing overall human intelligence is still debated due to consciousness, creativity, and emotional understanding.
Raza: Do you agree with the above statement, Model2? Or, do you disagree?
Model2: Agreed. While AI can excel in certain areas, aspects like intuition, empathy, and common sense remain challenging to replicate comprehensively.
```
## License
This project is licensed under the Raza Mehar License. See the LICENSE.md file for details.
## Contact
For any questions or clarifications, please contact Raza Mehar at [[email protected]].