```markdown

[ajitesh123]

This pull request adds audio input support for the Performance Review AI application. The main changes are:

1. Implemented a new transcribe_audio function in the audio_utils.py module to handle audio file transcription using the SpeechRecognition library. This function takes an audio file path as input and returns the transcribed text. It also includes error handling for various exceptions that may occur during the transcription process.

2. Added a validate_audio_file function in the audio_utils.py module to validate the uploaded audio file, ensuring that it is in a supported format (WAV, MP3, OGG) and does not exceed the maximum file size (10MB).

3. Updated the app.py module to include a new input method option for users to choose between text or audio input. If the user selects the audio input option, the application will display the uploaded audio file, transcribe the audio using the transcribe_audio function, and display the transcribed text before generating the performance review.

4. Implemented unit tests in test_audio_utils.py and test_app.py to ensure the reliability and correctness of the audio transcription and validation functionality.

5. Updated the README.md file to provide instructions on how to set up and use the audio input feature, including information about the supported audio formats and file size limitations.

With these changes, the Performance Review AI application now supports both text and audio input, allowing users to generate performance reviews more conveniently by simply uploading an audio file containing the performance summary.

[dev-archie-ai-code-explain-pr[bot]]

Add audio input feature and improve README

• Added support for audio input in addition to text input for the performance review generation feature
• Improved the README file with more detailed setup and usage instructions, including information about the audio input feature

Files

README.md

Title: Enhance README with audio input details | Label: documentation

Changes Summary:

• Added a new section for the audio input feature, including supported formats, file size limit, and transcription details
• Expanded the usage instructions to cover both text and audio input methods
• Clarified the setup and running instructions

audio_utils.py

Title: Implement audio transcription utility | Label: enhancement

Changes Summary:

• Added a transcribe_audio function to transcribe audio files using the Google Speech Recognition API
• Implemented a validate_audio_file function to validate the uploaded audio file (format and size)
• Added a custom AudioTranscriptionError exception to handle transcription errors

requirements.txt

Title: Update dependencies | Label: dependencies

Changes Summary:

• Added the SpeechRecognition library as a new dependency for the audio transcription feature
• Removed some unused dependencies from the previous version of the requirements file

tests/test_audio_utils.py

Title: Add unit tests for audio utilities | Label: tests

Changes Summary:

• Added unit tests for the transcribe_audio function to cover success and error cases

[ajitesh123]

/incremental_review

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PR Review Summary - Incremental 🔍

This incremental update focuses on refining the project dependencies and enhancing test coverage for the audio transcription feature. The requirements.txt file has been streamlined, removing several unused packages and adding the SpeechRecognition library. A new test file, test_audio_utils.py, has been introduced to cover the audio transcription functionality, improving the overall robustness of the application.

🔒 Security analysis

- Removal of unused dependencies reduces potential attack surface and vulnerabilities - Addition of SpeechRecognition library introduces new third-party code, requiring regular updates - No apparent new security vulnerabilities introduced in the test file

🧪 Test coverage analysis

- New test file significantly improves coverage for audio transcription functionality - Tests cover success case and two error scenarios (UnknownValueError and RequestError) - Missing tests for validate_audio_file function and edge cases (e.g., empty files, unsupported formats)

⚡ Logical error analysis

- Test cases appear logically sound, covering main scenarios for audio transcription - Potential oversight: no test for AudioTranscriptionError when general Exception occurs - Consider adding assertions to verify correct error messages in exception cases

[ajitesh123]

/Ask does it impact performance?

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[ajitesh123]

/help

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/help

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[ajitesh123]

/describe

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[dev-archie-ai-code-explain-pr[bot]]

Add audio input feature and improve README

• Added support for audio input in addition to text input for performance review generation
• Implemented audio transcription using Google's Speech Recognition API
• Added validation for uploaded audio files (supported formats: WAV, MP3, OGG; max file size: 10MB)
• Improved the README file with more detailed usage instructions and information about the audio input feature

Files

README.md

Title: Improve README with audio input feature details | Label: documentation

Changes Summary:

• Added a new section for "Audio Input Feature" with details on supported formats, file size limit, and the transcription process
• Expanded the "Usage" section with more detailed steps, including the audio input workflow
• Clarified the setup and running instructions

audio_utils.py

Title: Implement audio transcription and file validation | Label: enhancement

Changes Summary:

• Added transcribe_audio() function to transcribe audio files using Google's Speech Recognition API
• Implemented validate_audio_file() function to check the validity of uploaded audio files (supported formats and file size)
• Added custom AudioTranscriptionError exception to handle errors during audio transcription

requirements.txt

Title: Update dependencies | Label: chore

Changes Summary:

• Added the SpeechRecognition library as a new dependency for audio transcription
• Removed unused dependencies from the previous version of the requirements file

[ajitesh123]

/incremental-review

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