Token Count

This project demonstrates how to use OpenAI's GPT model to process a list of strings and return valid English words using the API. The project also tracks the number of tokens used during the API request.

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🛠️ Technology Stack

• Python 3.x: The programming language used for the implementation.
• httpx: A modern Python HTTP client used to send requests to the OpenAI API.
• OpenAI API: A service that provides access to the GPT models for text processing.

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📁 Project Structure

/token-count-api
│
├── main.py       # Main Python script to interact with the OpenAI API and track tokens
├── requirements.txt     # Python dependencies for the project
├── LICENSE              # License file for the project
├── README.md            # This documentation file

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🛠️ How to Run Locally

1. Clone the repository (or copy the code) to your local machine.

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the script:

   python token_count.py

   This will send a request to OpenAI’s API with a predefined list of strings, asking for valid English words. It will also print the number of tokens used during the request.

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🌐 API Integration

This project integrates with OpenAI’s API to process messages and return valid English words. The script constructs a JSON payload and sends a POST request to the endpoint using the httpx library.

API Request Details:

• Endpoint: https://api.openai.com/v1/chat/completions
• Model: gpt-4o-mini
• Request Format: A list of strings passed as the content of the message, with the goal of extracting valid English words.

Example Request:

{
    "role": "user",
    "content": "List only the valid English words from these: y5W1djP1, eQ0GWWg, rhVr, ffXzPDs, zTkSH8Sb, JaKjT5"
}

Response Example:

{
    "usage": {
        "total_tokens": 20
    }
}

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🧑‍💻 Example Output

Running the script will print the following output:

Number of tokens: 20

This output shows the number of tokens consumed by the API request, which is useful for tracking usage and costs.

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📈 License

This project is licensed under the MIT License.

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🧑‍💻 Contributing

Feel free to open issues or create pull requests if you'd like to contribute to this project!

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📞 Contact

For any questions or feedback, feel free to reach out.

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Project Structure Recap

/token-count-api
│
├── token_count.py       # Main Python script to interact with the OpenAI API and track tokens
├── requirements.txt     # Python dependencies for the project
├── LICENSE              # License file for the project
├── README.md            # This documentation file

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requirements.txt

httpx==0.23.0