Update app.py

app.py

@@ -3,8 +3,7 @@ from fastapi.responses import JSONResponse
 from fastapi.middleware.cors import CORSMiddleware
 from logic import synthesize_voice, plot_data, plot_waveforms
 import base64
-from typing import Dict
-import httpx
+
 
 app = FastAPI()
 
@@ -25,27 +24,17 @@ app.add_middleware(
 hugging_face_api_url = "https://huggingface.co/spaces/lord-reso/host/synthesize"
 
 @app.post("/synthesize")
-async def synthesize(request: Request, request: Request)
+async def synthesize(request: Request):
     print("call successful")
     
-    # try:
-    #     with httpx.Client() as client:
-    #         print('try successful')
-    #         response = client.post(hugging_face_api_url, json=request_data, timeout=30.0)
-    #         response.raise_for_status()  # Raises an HTTPError for bad responses
-    #         # Process the response from Hugging Face API
-    #         hugging_face_response = response.json()
-    json = await request.json
+    json = await request.json()
     print(json)
-    # font_type = json['font_select']
-    # input_text = request_data['input_text']
-    # print(font_type)
-    # print(input_text)
-        
     
-
+    font_type = json['font_select']
+    input_text = json['input_text']     
+    
     # Generate mel-spectrogram using Tacotron2
-    mel_output_data, mel_output_postnet_data, alignments_data = synthesize_voice(input_text, "Shruti_finetuned")
+    mel_output_data, mel_output_postnet_data, alignments_data = synthesize_voice(input_text, "Shruti_finetuned.pt")
     print("mel generation successful")
         
     # Convert mel-spectrogram to base64 for display in HTML
@@ -63,35 +52,10 @@ async def synthesize(request: Request, request: Request)
 
     # Customize the response based on the information you want to send to the frontend
     response_data = {
-    'mel_spectrogram': mel_output_base64,
+        'mel_spectrogram': mel_output_base64,
         'audio_data': audio_base64,
         'waveform': wave_base64,
         'some_other_data': 'example_value',
-        'hugging_face_response': hugging_face_response,  # Include Hugging Face API response
-        
+        # 'hugging_face_response': hugging_face_response,  # Include Hugging Face API response
+    }
     return JSONResponse(content=response_data)
-    # except httpx.RequestError as e:
-    #     print("Caught httpx.RequestError")
-    #     import traceback
-    #     error_message = f"Request error: {str(e)}"
-    #     traceback.print_exc()
-    #     print(error_message)
-    #     return JSONResponse(content={"error": error_message}, status_code=500)
-
-    # except httpx.ReadTimeout:
-    #     print("Caught httpx.ReadTimeout")
-    #     error_message = "Request to Hugging Face API timed out."
-    #     print(error_message)
-    #     return JSONResponse(content={"error": error_message}, status_code=500)
-
-    # except httpx.HTTPStatusError as e:
-    #     print("Caught httpx.HTTPStatusError")
-    #     error_message = f"HTTP error: {e.response.text}"
-    #     print(error_message)
-    #     return JSONResponse(content={"error": error_message}, status_code=500)
-
-    # except Exception as e:
-    #     print("Caught exception")
-    #     error_message = f"Error during processing: {str(e)}"
-    #     print(error_message)
-    #     return JSONResponse(content={"error": error_message}, status_code=500)