Update app.py

app.py

@@ -8,7 +8,6 @@ import numpy as np
 from io import BytesIO
 from hifigan.inference_e2e import hifi_gan_inference
 
-
 app = FastAPI()
 
 @app.get("/")
@@ -16,7 +15,6 @@ def read_root():
     data = {"Voice": "Cloning", "Status": "Success"}
     return JSONResponse(content=data)
 
-
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -49,17 +47,16 @@ async def synthesize(request: Request):
     np.save(buffer, mel_output_data)
     input_mel = buffer.getvalue()
     
-    hifigan_checkpoint="generator_v1"
+    hifigan_checkpoint = "generator_v1"
     
     # Generate audio using Hifigan
-    hifi_gan_inference(input_mel, hifigan_checkpoint)
+    audio_data = hifi_gan_inference(input_mel, hifigan_checkpoint)
     
     # Plot the waveform
-    wave_base64 = plot_waveforms(audio_file_path)
+    wave_base64 = plot_waveforms(audio_data)
 
     # Encode audio content as Base64
-    with open(audio_file_path, 'rb') as audio_file:
-        audio_base64 = base64.b64encode(audio_file.read()).decode('utf-8')
+    audio_base64 = base64.b64encode(audio_data).decode('utf-8')
 
     # Customize the response based on the information you want to send to the frontend
     response_data = {