Update app.py

app.py

@@ -22,9 +22,16 @@ def translate_speech(audio_file):
     # Convert the audio to mono and get the raw data
     audio = audio.set_channels(1)
     audio_data = np.array(audio.get_array_of_samples())
-
+    
+    # Convert the numpy array to a PyTorch tensor
+    audio_data = torch.from_numpy(audio_data)
+    
+    # Convert the tensor to double
+    audio_data = audio_data.double()
+    
     # Use the speech recognition pipeline to transcribe the audio
     output = pipe(audio_data)
+
     print(f"Output: {output}")  # Print the output to see what it contains
 
     # Check if the output contains 'text'