```markdown

[ajitesh123]

This pull request adds the ability for users to provide audio input for their performance reviews and self-reviews. Previously, users had to type their input, but now they can record their audio. The audio is converted from speech to text using the Whisper model on the Groq library, and the resulting text is used as input to the review generation process.

Main Changes:

• Added the streamlit-audiorec library to the app.py and app_fastapi.py files, allowing users to record audio input.
• Implemented the convert_speech_to_text function in the speech_to_text.py file, which uses the Groq library to transcribe the audio to text.
• Updated the ReviewRequest and SelfReviewRequest models to include an optional audio_review field, and updated the generate_review and generate_self_review functions to use this field when generating the review.
• Added tests to ensure the audio functionality works as expected, including mocking the Groq library and testing the convert_speech_to_text, generate_review, and generate_self_review functions with audio input.

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[archie-ai-code-generation[bot]]

PR Review Summary 🔍

This PR adds audio input functionality for performance reviews and self-reviews. It introduces new dependencies, updates existing functions to handle audio reviews, and implements speech-to-text conversion using the Groq library. The changes appear to be well-integrated into the existing codebase, but there are some potential security and test coverage concerns that need to be addressed.

🔒 Security analysis

- No visible input sanitization for audio_review in ReviewRequest and SelfReviewRequest models. - Potential security risks with new dependencies (streamlit-audiorec, groq) not thoroughly vetted. - Lack of explicit user consent mechanism for audio data collection and processing.

🧪 Test coverage analysis

- No visible test cases for the new audio review functionality in the provided diff. - Lack of error handling for potential audio conversion failures in speech_to_text.py. - Missing edge case tests for generate_review and generate_self_review with audio input.

⚡ Logical error analysis

- Potential issue with prompt generation if audio_review is None but expected in the template. - Possible inconsistency in handling audio_review across different functions (optional vs. required). - Risk of increased token usage in LLM calls due to additional audio review text.