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Then, run `flutter pub get` in your terminal to install the dependencies. Now, let's write the code to send requests to the ChatGPT API. Create a function that takes user input as a parameter and sends it to the API. This function will construct an HTTP POST request to the ChatGPT API endpoint. The request body will include your API key, the model you want to use (e.g., `gpt-3.5-turbo` or the latest model), and the user's message. Use the `http` package to make the API call. Include the `Content-Type` header set to `application/json` and the Authorization header set to your API key. Once you receive the API response, parse the JSON to extract the chatbot's response. The response will usually contain the generated text from ChatGPT. Display the response in your Flutter app, such as in a chat bubble or text field. Make sure to handle potential errors, such as network issues or invalid API keys. Implement error handling to provide feedback to the user and prevent your app from crashing. Finally, test your integration thoroughly. Send various prompts to your chatbot and check if it's responding correctly. Refine your code based on the API response to handle different scenarios and improve the user experience. You can also experiment with different ChatGPT models and parameters to fine-tune the chatbot's responses. Getting the ChatGPT API integrated is a big step towards building a functional **Flutter ChatGPT voice** application. This groundwork is vital for enabling your app to harness the capabilities of an advanced language model.
