Update app.py

app.py

@@ -24,6 +24,11 @@ def load_data(input_file):
   if sample_rate !=16000:
     speech = librosa.resample(speech, sample_rate,16000)
   return speech
+def write_to_file(input_file):
+    import base64
+    wav_file = open("temp.wav", "wb")
+    decode_string = base64.b64decode(input_file)
+    wav_file.write(decode_string)  
 
 # def correct_casing(input_sentence):
 
@@ -31,7 +36,7 @@ def load_data(input_file):
 #   return (' '.join([s.replace(s[0],s[0].capitalize(),1) for s in sentences]))
 pipe = pipeline(model="Shubham09/whisper31filescheck")  # change to "your-username/the-name-you-picked"
 
-def asr_transcript(input_file):
+def asr_transcript("temp.wav"):
     text = pipe(input_file)["text"]
     return text