Update app.py

app.py

@@ -122,7 +122,7 @@ async def audio_to_text_endpoint(file: UploadFile, language: str = 'fr-FR'):
         # Raise an HTTP 500 error if any exceptions occur
         raise HTTPException(status_code=500, detail=f"An error occurred while processing the file: {e}")
 
-@app.post("/audio-to-offer-endpoint/")
+@app.post("/audio-to-offer-with-gemini-endpoint/")
 async def audio_to_offer_endpoint(file: UploadFile, language: str, api_key: str):
     """
     Endpoint to convert uploaded audio content to a job offer text.
@@ -138,8 +138,7 @@ async def audio_to_offer_endpoint(file: UploadFile, language: str, api_key: str)
     Raises:
     - HTTPException: If an error occurs during the processing of the audio or the generation of the job offer.
     """
-    print(language)
-    print(api_key)
+    
     try:
         text_response = await audio_to_text_endpoint(file, language)
         text = text_response["text"]
@@ -147,6 +146,28 @@ async def audio_to_offer_endpoint(file: UploadFile, language: str, api_key: str)
         return {"text": offer}
     except Exception as e:
         raise HTTPException(status_code=500, detail=f"Error generating job offer: {e}")
-# if __name__ == "__main__":
-#     import uvicorn
-#     uvicorn.run(app, host="0.0.0.0", port=8000)
+
+@app.post("/audio-to-offer-with-gpt-endpoint/")
+async def audio_to_offer_endpoint(file: UploadFile, language: str, api_key: str):
+    """
+    Endpoint to convert uploaded audio content to a job offer text.
+
+    Parameters:
+    - file (UploadFile): The audio file uploaded by the client. The file should be in .wav format.
+    - language (str): Language code to guide the speech recognition process. Default is French ('fr-FR').
+    - api_key (str, optional): API key for accessing extended features or third-party services used in generating the job offer.
+
+    Returns:
+    - A JSON object with a key 'offer' containing the generated job description text based on the audio content.
+
+    Raises:
+    - HTTPException: If an error occurs during the processing of the audio or the generation of the job offer.
+    """
+
+    try:
+        text_response = await audio_to_text_endpoint(file, language)
+        text = text_response["text"]
+        offer = generate_job_description_gpt(text, api_key)
+        return {"text": offer}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Error generating job offer: {e}")