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The core idea of agents is to use a language model to choose a sequence of actions to take.

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AI Agent

The AI Agent is designed to leverage a language model to make decisions by choosing a sequence of actions.

Demo

This app deployed in streamlit feel free to check :) AI_Agent.

Getting Started

To get started with the AI Agent, follow these steps:

  1. Clone the Repository: Clone the repository to your local system using the following command:

    git clone https://github.com/yourusername/AI_Agent.git
    
  2. Install Requirements: Navigate to the cloned repository directory and install the required dependencies using the provided requirements.txt file:

    cd AI_Agent
    pip install -r requirements.txt
    
  3. Obtain a Unify API Key: Sign up for an account and obtain a Unify API key from Unify Console.

  4. Set Up Unify API Key: Once you have obtained the API key, set it up in your environment variables or configuration file to authenticate requests made to the Unify API.

  5. Run the Application: With the dependencies installed and the API key configured, run the Streamlit application by executing the following command:

    streamlit run app.py
    
  6. Interact with the AI Agent: Open your web browser and navigate to the URL provided by Streamlit to interact with the AI Agent through the web interface.

Contributing

Contributions are welcome! If you have any ideas, enhancements, or bug fixes, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.


This section guides users on how to obtain a Unify API key from the Unify Console and integrate it with the AI Agent application. Make sure to replace "https://github.com/yourusername/AI_Agent.git" with the actual URL of your GitHub repository.

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The core idea of agents is to use a language model to choose a sequence of actions to take.

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