Update app.py

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 from transformers import WhisperProcessor, WhisperForConditionalGeneration, WhisperTokenizer
 nltk.download("punkt")
 from transformers import pipeline
-
+import scipy.io.wavfile
 
 
 model_name = "Shubham09/whisper31filescheck"
@@ -25,8 +25,9 @@ def load_data(input_file):
     speech = librosa.resample(speech, sample_rate,16000)
   return speech
 def write_to_file(input_file):
-    with open("microphone-results.wav", "wb") as f:
-        f.write(input_file.get_wav_data())
+    scipy.io.wavfile.write("microphone-results.wav")
+    # with open("microphone-results.wav", "wb") as f:
+    #     f.write(input_file.get_wav_data())
     # import base64
     # wav_file = open("temp.wav", "wb")
     # decode_string = base64.b64decode(input_file)