AugustAtSeattle
commented
10 months ago Research and Documentation: Description: Understand the capabilities and requirements of OpenAI's Whisper API. Objective: Gather all necessary information, including API endpoints, request format, response handling, and any usage limits or costs.
API Integration: Description: Integrate the Whisper API into the app. Objective: Develop functionality to send audio data to the Whisper API and receive the transcribed text.
Error Handling and Fallback: Description: Implement robust error handling and a fallback mechanism. Objective: Ensure the app gracefully handles any failures in the Whisper API (like network issues) and falls back to an alternative method (like local SFSpeechRecognizer).
Testing and Optimization: Description: Thoroughly test the Whisper integration. Objective: Ensure the Whisper service works correctly under various conditions and optimize for efficient API usage.
User Interface and Feedback: Description: Update the app's UI to reflect the use of the Whisper service. Objective: Provide users with feedback on the status of transcription and any errors.
Documentation and Compliance: Description: Document the integration process and ensure compliance with OpenAI's terms. Objective: Maintain clear documentation for future reference and adhere to any legal or usage guidelines set by OpenAI.
Additional Considerations Privacy and Data Handling: Ensure compliance with data privacy laws and best practices, especially when handling user audio data. User Consent: Obtain explicit user consent for using online services like Whisper for speech recognition. Performance Metrics: Monitor the impact of API integration on app performance and user experience.
Implement and integrate OpenAI's Whisper service for advanced speech-to-text capabilities.
Tasks:
This task aims to enhance the app's speech recognition feature by leveraging OpenAI's advanced technology.