Update app.py

app.py

@@ -37,14 +37,14 @@ def transcribe(data):
     print(audio_string)
     decode_string = base64.b64decode(audio_string)
     #array = np.frombuffer(decode_string, dtype=np.uint8)
-    output_file_path = "audio.wav"
-    with open(output_file_path, "wb") as output_file:
-        output_file.write(decode_string)
+    #output_file_path = "audio.wav"
+    #with open(output_file_path, "wb") as output_file:
+        #output_file.write(decode_string)
         
-    with torch.cuda.amp.autocast():
-        data,samplerate = librosa.load(output_file_path)
-        text = pipe(data,max_new_tokens=255)["text"]
-    return text
+    #with torch.cuda.amp.autocast():
+        #data,samplerate = librosa.load(output_file_path)
+        #text = pipe(data,max_new_tokens=255)["text"]
+        return audio_string
     
 #hf_writer = gr.HuggingFaceDatasetSaver(hf_token = api_key,dataset_name="interaction-log2")