Closed ajitesh123 closed 3 months ago
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This PR introduces speech-to-text functionality, enhancing user interaction by allowing audio input for performance reviews. The implementation includes a new endpoint for speech-to-text conversion, updates to existing functions to handle audio input, and corresponding unit tests. While the feature adds value, there are some security and error handling concerns that need addressing.
🔒 Security analysis |
- Unrestricted file upload in `/speech_to_text` endpoint could lead to potential security vulnerabilities. - No file size limit or type validation for audio uploads, risking server overload or malicious file uploads. - Use of `recognize_google()` without API key may hit rate limits or violate terms of service. |
🧪 Test coverage analysis |
- New tests added for speech-to-text functionality in both review and self-review modules. - Missing tests for the `/speech_to_text` endpoint in app_fastapi.py. - Lack of edge case testing for audio file handling and potential recognition errors. |
⚡ Logical error analysis |
- Duplicate CORS middleware in app_fastapi.py may cause unexpected behavior. - Inconsistent error handling between app_fastapi.py and self_review.py for speech recognition errors. - Potential memory issues with large audio files due to reading entire file into memory. |
Stop mentioning my name please
This pull request adds the ability for users to provide speech input, which will then be converted from speech to text and used as input to the application. This feature allows users to speak their input instead of having to type it, providing a more convenient and natural interaction.
The main changes to implement this feature are:
SpeechRecognition
library to the project dependencies in therequirements.txt
file./speech_to_text
in theapp_fastapi.py
file, which accepts an audio file as input and uses theSpeechRecognition
library to convert the speech to text.ReviewRequest
andSelfReviewRequest
models inreview.py
andself_review.py
to include an optionalaudio_input
field, which can be used to provide speech input.generate_review
andgenerate_self_review
functions inreview.py
andself_review.py
to handle the case where an audio file is provided. If an audio file is present, the functions will use theSpeechRecognition
library to convert the speech to text and use that as the input for the review or self-review generation.test_speech_to_text.py
,test_review.py
, andtest_self_review.py
to ensure the new functionality works as expected, including handling errors during speech-to-text conversion.With these changes, users can now provide speech input to the application, which will be converted to text and used to generate the performance review or self-review. This feature enhances the user experience by allowing more natural and convenient input methods.