https://github.com/g1f1/chatgpt
Build your own Chat GPT with python. Don't forget to star 🌟 this repository.
https://github.com/g1f1/chatgpt
Last synced: 10 months ago
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Build your own Chat GPT with python. Don't forget to star 🌟 this repository.
- Host: GitHub
- URL: https://github.com/g1f1/chatgpt
- Owner: g1f1
- License: gpl-3.0
- Created: 2025-01-21T19:37:32.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-01-21T20:11:08.000Z (12 months ago)
- Last Synced: 2025-01-21T21:20:19.680Z (12 months ago)
- Language: Python
- Size: 17.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Integrating a program with GPT-4 involves creating an interface that allows you to send prompts to the GPT-4 model and receive responses. To achieve this, you typically need to interact with an API provided by OpenAI (or any other service that offers GPT-4). Below is an example of a Python script that demonstrates how to interact with GPT-4 using the OpenAI API.
### Prerequisites
1. **Python 3.x**: Ensure you have Python installed on your system.
2. **OpenAI API Key**: Obtain an API key from OpenAI by signing up for their service.
3. **Requests Library**: Install the `requests` library to handle HTTP requests.
```bash
pip install requests
```
### Explanation:
1. **Import Libraries**: The script imports the `requests` and `json` libraries for handling HTTP requests and JSON data.
2. **gpt4_query Function**:
- **API Endpoint**: The OpenAI API endpoint for GPT-4 completions.
- **Headers**: Include the `Content-Type` and `Authorization` headers. The API key is included in the `Authorization` header.
- **Data**: The data payload includes the `prompt`, `max_tokens`, and `temperature`. Adjust these parameters based on your requirements.
- **API Request**: The `requests.post` method sends the request to the API. The response is checked for success, and the generated text is returned.
3. **Main Function**:
- **API Key**: Replace `"your_api_key_here"` with your actual OpenAI API key.
- **Prompt**: Define the prompt to send to GPT-4.
- **Get Response**: Call the `gpt4_query` function with the prompt and API key.
- **Print Response**: Print the response from GPT-4.
### Configuration for GPT-4 Integration:
1. **API Key**: Ensure you have a valid API key from OpenAI. Store this key securely and do not hard-code it in your scripts for production use.
2. **API Endpoint**: The endpoint URL may change based on OpenAI's API updates. Check the official OpenAI documentation for the latest endpoints.
3. **Parameters**: Adjust `max_tokens`, `temperature`, and other parameters based on your use case. Refer to OpenAI's documentation for detailed parameter descriptions.
4. **Error Handling**: Implement robust error handling to manage API rate limits, network issues, and other potential errors.
### Additional Tips:
- **Logging**: Implement logging to track API requests and responses for debugging and monitoring purposes.
- **Security**: Secure your API key and avoid exposing it in your source code. Consider using environment variables or secure vaults.
- **Testing**: Thoroughly test your integration to ensure it handles various scenarios and edge cases.
By following this guide, you can create a program that interacts with GPT-4 and configure it to suit your specific needs.