Update app.py

app.py

@@ -83,14 +83,13 @@ def evaluate_response(text):
     )
     return completion.choices[0].text.strip()
 
-# Custom audio processor for handling the audio stream
+# Custom audio processor for handling the audio stream with Whisper
 class SpeechToTextProcessor(AudioProcessorBase):
     def __init__(self):
         self.result_queue = queue.Queue()
 
     def recv(self, frame):
         audio_data = np.frombuffer(frame.to_ndarray(), np.float32)
-        audio_data = whisper.pad_or_trim(audio_data)
         result = whisper_model.transcribe(audio_data)
         text = result["text"]
         self.result_queue.put(text)
@@ -157,4 +156,4 @@ if st.button("Start Interview"):
 
             # Evaluate the response
             score = evaluate_response(st.session_state["transcribed_text"])
-            st.write(f"Evaluation Score: {score}/10")
+            st.write(f"Evaluation Score: {score}")