Closed ajitesh123 closed 4 months ago
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This PR introduces audio input functionality for performance reviews and self-reviews, using the Whisper model via Groq for speech-to-text conversion. The changes appear well-integrated, but there are concerns regarding security, error handling, and potential performance impacts. The lack of additional test coverage for the new functionality is notable.
๐ Security analysis |
- User API key is passed directly to `convert_speech_to_text`, potentially exposing it. - Temporary file handling in `convert_speech_to_text` may be vulnerable to race conditions. - No input validation or sanitization for audio data before processing. |
๐งช Test coverage analysis |
- No new tests added for `convert_speech_to_text` function or audio processing logic. - Existing endpoints' modifications lack updated test cases for audio input scenarios. - Error handling and edge cases for audio processing are not covered by tests. |
โก Logical error analysis |
- `main()` functions in `review.py` and `self_review.py` use hardcoded API keys and LLM types. - No error handling for failed audio-to-text conversion in API endpoints. - Potential memory issues with large audio files due to in-memory processing. |
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[=== ] ๐๐ง๐ค๐๐๐จ๐จ๐๐ฃ๐...
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Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
Great work on this PR! ๐
This is the updated body of the PR.