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ajitesh123 / auto-review-ai

🚀 AI-Powered Performance Review Generator
https://perfor-ai.streamlit.app/
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```markdown #111

Closed ajitesh123 closed 2 months ago

ajitesh123 commented 2 months ago

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:

Summary by CodeRabbit

dev-archie-ai-code-explain-pr[bot] commented 2 months ago

PR Review Summary 🔍

This PR introduces audio input functionality for performance reviews and self-reviews, using the Groq library for speech-to-text conversion. The changes appear to be well-integrated with the existing codebase, adding the necessary fields and updating the relevant functions. However, there are some potential security and test coverage concerns that should be addressed.

🔒 Security analysis
- User-provided API keys are directly used without validation or sanitization. - No input validation for the new `audio_review` field in `ReviewRequest` and `SelfReviewRequest`. - Potential exposure of sensitive information in audio transcriptions.
🧪 Test coverage analysis
- No visible tests for the new audio functionality in the provided diff. - Lack of error handling for audio conversion failures. - Missing edge case tests for empty or invalid audio inputs.
⚡ Logical error analysis
- Inconsistent handling of `audio_review` when it's None or empty. - Potential performance issues with large audio files not addressed. - No clear distinction between text and audio inputs in the prompt generation.
coderabbitai[bot] commented 2 months ago

Walkthrough

This change introduces the ability for users to provide audio input for performance reviews and self-reviews, in addition to text input. The audio is converted to text using the Whisper model integrated with the Groq library. This text is then used for generating reviews. Modifications include updates to request models, prompt generation, and handling the new audio_review field.

Changes

File Change Summary
app_fastapi.py Added audio_review parameter to api_generate_review and api_generate_self_review functions.
review.py Added audio_review field to ReviewRequest class and updated relevant functions to handle it.
self_review.py Added audio_review field to SelfReviewRequest class and updated relevant functions to handle it.
requirements.txt Added streamlit-audiorec and groq dependencies.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant StreamlitApp
    participant FastAPI
    participant WhisperGroq
    participant ReviewModule

    User ->> StreamlitApp: Record audio review
    StreamlitApp ->> WhisperGroq: Convert audio to text
    WhisperGroq -->> StreamlitApp: Text Review
    StreamlitApp ->> FastAPI: Send ReviewRequest with audio_review
    FastAPI ->> ReviewModule: Process ReviewRequest
    ReviewModule -->> FastAPI: Generated Review
    FastAPI -->> StreamlitApp: Return Generated Review
    StreamlitApp -->> User: Display Generated Review

Possibly related issues

Poem

In fields where code and voices blend,
A rabbit hops, new paths to send.
From words we type to sounds we speak,
Reviews now soar, a brand-new peak.
With Groq and Whisper, clear and bright,
Performance shines in day and night.
🐇✨🎤

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