remove dependency torchaudio

main.py

@@ -1,7 +1,6 @@
 
 import time
 from scipy.io.wavfile import write
-import torchaudio
 import numpy as np
 
 
@@ -88,21 +87,19 @@ async def audio(inputs, src_lang="eng", tgt_lang="por", speaker_id=5):
     audio_array_from_text = model.generate(
         **text_inputs, tgt_lang=tgt_lang, speaker_id=int(speaker_id))[0].cpu().numpy().squeeze()
 
-    print("Time took to process the request and return response is {} sec".format(
-        time.time() - start_time))
-
-    print(f"sampling_rate {model.config.sampling_rate}")
-
     write(f"/tmp/output{start_time}.wav", model.config.sampling_rate,
           audio_array_from_text)
 
+    print("Time took to process the request and return response is {} sec".format(
+        time.time() - start_time))
+
     return FileResponse(f"/tmp/output{start_time}.wav", media_type="audio/mpeg")
 
 
 @app.post("/transcribe-audio")
 async def transcribe_audio(soundFile: UploadFile, tgt_lang='eng'):
     start_time = time.time()
-    # process input
+
     inputFile = soundFile.file.read()
 
     audio_data = np.frombuffer(inputFile, dtype=np.int16)
@@ -116,4 +113,7 @@ async def transcribe_audio(soundFile: UploadFile, tgt_lang='eng'):
     write(f"/tmp/output{start_time}.wav", model.config.sampling_rate,
           audio_array_from_audio)
 
+    print("Time took to process the request and return response is {} sec".format(
+        time.time() - start_time))
+
     return FileResponse(f"/tmp/output{start_time}.wav", media_type="audio/wav")