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@TheMhv TheMhv commented Sep 21, 2024

Summary by CodeRabbit

  • New Features

    • Introduced text-to-speech (TTS) functionality with new endpoints for TTS requests and voice retrieval.
    • Added a new endpoint to retrieve user information.
  • Dependencies

    • Integrated new dependencies: fastapi, pydantic, python-multipart, and edge-tts for enhanced application capabilities.

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coderabbitai bot commented Sep 21, 2024

Walkthrough

The changes involve updates to the pyproject.toml and requirements.txt files to include new dependencies: fastapi, pydantic, python-multipart, and edge-tts. Additionally, the rvc_python/api.py file has been modified to introduce new text-to-speech functionality, including a data model for TTS requests and two new endpoints for listing available voices and processing TTS requests. Error handling has been implemented for the new features.

Changes

File Change Summary
pyproject.toml, requirements.txt New dependencies added: fastapi, pydantic, python-multipart, and edge-tts.
rvc_python/api.py New data model TTSRequest created. Added endpoints: GET /voices for listing voices and POST /tts for processing TTS requests. New method get_user_info also added. Error handling implemented.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant API
    participant TTSService

    Client->>API: GET /voices
    API->>TTSService: List available voices
    TTSService-->>API: Return voices list
    API-->>Client: Return voices list

    Client->>API: POST /tts with TTSRequest
    API->>TTSService: Process TTS request
    TTSService-->>API: Generate audio
    API-->>Client: Return audio in WAV format
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🐰 In the code, we hop and play,
New features brighten up the day!
With voices sweet and TTS bright,
Our app now sings with pure delight!
Dependencies added, oh what fun,
A joyful leap, the work is done! 🎶


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@TheMhv TheMhv changed the title API request for generate audio using Microsoft Edge's online text-to-speech service Add API request for generate audio using Microsoft Edge's online text-to-speech service Sep 21, 2024
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Actionable comments posted: 5

Outside diff range and nitpick comments (1)
pyproject.toml (1)

39-39: Consider specifying the version of the dependency.

To ensure compatibility in the future, it's a good practice to specify the version of the dependency. For example:

-  "edge-tts",
+  "edge-tts==1.0.0",
Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between ff061a0 and 593eebb.

Files selected for processing (3)
  • pyproject.toml (1 hunks)
  • requirements.txt (1 hunks)
  • rvc_python/api.py (3 hunks)
Additional context used
Ruff
rvc_python/api.py

159-159: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)

Additional comments not posted (3)
requirements.txt (2)

18-18: LGTM!

The addition of the python-multipart dependency aligns with the PR objectives. It is a commonly used library for handling multipart form data in web applications and APIs, particularly for file uploads.

Given that the PR involves an API request for generating audio, it is reasonable to assume that this dependency will be used to send audio files or data to the API.


19-19: Looks good!

The edge-tts dependency is a great fit for the PR objectives. It provides a Python interface to interact with Microsoft Edge's online text-to-speech service, which is exactly what the PR aims to achieve.

By adding this dependency, the project gains the ability to convert text to speech using the various voices provided by the Edge TTS service. This aligns perfectly with the goal of generating audio using Microsoft's service.

pyproject.toml (1)

39-39: LGTM!

The addition of the edge-tts dependency is consistent with the PR objectives and is necessary to support the new feature.


class TTSRequest(BaseModel):
text: str
voice: str | None = "Microsoft Server Speech Text to "
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Complete the default value for voice in TTSRequest

The default value for voice appears incomplete: "Microsoft Server Speech Text to ". Please provide a complete and valid default voice identifier to ensure the TTS service functions correctly.

Apply this diff to fix the default voice value:

-    voice: str | None = "Microsoft Server Speech Text to "
+    voice: str | None = "en-US-AriaNeural"
Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
voice: str | None = "Microsoft Server Speech Text to "
voice: str | None = "en-US-AriaNeural"

Comment on lines +128 to +130
@app.get("/voices")
async def list_voices():
return JSONResponse(content={"voices": await edge_tts.list_voices()})
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Add exception handling to the /voices endpoint

Currently, the list_voices endpoint does not handle exceptions that may occur when calling edge_tts.list_voices(). This could lead to unhandled exceptions and a 500 Internal Server Error response without meaningful information to the client. Consider adding error handling to provide a clear error message.

Apply this diff to incorporate exception handling:

 @app.get("/voices")
 async def list_voices():
+    try:
         voices = await edge_tts.list_voices()
         return JSONResponse(content={"voices": voices})
+    except Exception as e:
+        logger.error(f"Error retrieving voices: {e}")
+        raise HTTPException(status_code=500, detail="Failed to retrieve voices.") from e
Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
@app.get("/voices")
async def list_voices():
return JSONResponse(content={"voices": await edge_tts.list_voices()})
@app.get("/voices")
async def list_voices():
try:
voices = await edge_tts.list_voices()
return JSONResponse(content={"voices": voices})
except Exception as e:
logger.error(f"Error retrieving voices: {e}")
raise HTTPException(status_code=500, detail="Failed to retrieve voices.") from e

)
await communicate.save(input_path)

app.state.rvc.infer_file(input_path, output_path)
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Avoid blocking the event loop with synchronous infer_file method

The app.state.rvc.infer_file method appears to be a synchronous and potentially long-running operation. Executing it directly in an async endpoint could block the event loop, affecting the application's performance. Consider running it in a separate thread using asyncio.to_thread.

Apply this diff to run infer_file without blocking:

-            app.state.rvc.infer_file(input_path, output_path)
+            await asyncio.to_thread(app.state.rvc.infer_file, input_path, output_path)
Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
app.state.rvc.infer_file(input_path, output_path)
await asyncio.to_thread(app.state.rvc.infer_file, input_path, output_path)


app.state.rvc.infer_file(input_path, output_path)

output_data = tmp_output.read()
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Reset the file pointer before reading tmp_output

After writing to tmp_output, the file pointer is at the end of the file. Before reading from it, you need to reset the file pointer to the beginning using tmp_output.seek(0); otherwise, output_data may be empty.

Apply this diff to reset the file pointer:

             tmp_output.close()
+            tmp_output = open(output_path, 'rb')
+            output_data = tmp_output.read()
+            tmp_output.close()

Alternatively, seek to the beginning before reading:

             tmp_output.seek(0)
             output_data = tmp_output.read()
Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
output_data = tmp_output.read()
tmp_output.seek(0)
output_data = tmp_output.read()

return Response(content=output_data, media_type="audio/wav")
except Exception as e:
logger.error(e)
raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
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Chain exceptions when raising HTTPException

When raising a new exception within an except block, it's good practice to chain it using from e to preserve the original traceback. This helps in distinguishing exceptions in error handling from those in the main code.

Apply this diff to chain exceptions:

             logger.error(e)
-            raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
+            raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}") from e
Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}") from e
Tools
Ruff

159-159: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)

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