Update app.py

app.py

@@ -25,12 +25,20 @@ def translate_speech(audio_data_tuple):
         # Use the speech recognition model to transcribe the audio
         output = model.transcribe([temp_audio_file.name])
         print(f"Output: {output}")  # Print the output to see what it contains
-
-    # ... (rest of your code)
-
+        # Use the speech recognition model to transcribe the audio
+        output = model.transcribe(audio_data)
+        print(f"Output: {output}")  # Print the output to see what it contains
+    
+        # Check if the output contains 'transcription'
+        if 'transcription' in output:
+            transcription = output["transcription"]
+        else:
+            print("The output does not contain 'transcription'")
+            return
+    
 
     # Use the translation pipeline to translate the transcription
-    translated_text = translator(output, return_tensors="pt")
+    translated_text = translator(transciption, return_tensors="pt")
     print(f"Translated text: {translated_text}")  # Print the translated text to see what it contains
 
     # Check if the translated text contains 'generated_token_ids'