Update app.py

app.py

@@ -264,13 +264,41 @@ def process_document(file):
         return f"Error processing document: {str(e)}"
 
 # Function to handle speech-to-text conversion
+
+#def transcribe_audio(audio):
+#    sr, y = audio
+#    if y.ndim > 1:
+#        y = y.mean(axis=1)
+#    y = y.astype(np.float32)
+#    y /= np.max(np.abs(y))
+#    return transcriber({"sampling_rate": sr, "raw": y})["text"]
+
+#Quick Fixes You Can Try First:
+
 def transcribe_audio(audio):
     sr, y = audio
     if y.ndim > 1:
         y = y.mean(axis=1)
     y = y.astype(np.float32)
-    y /= np.max(np.abs(y))
-    return transcriber({"sampling_rate": sr, "raw": y})["text"]
+    
+    # Improved normalization
+    max_val = np.max(np.abs(y))
+    if max_val > 0:
+        y /= max_val
+    
+    # Use better model
+    better_transcriber = pipeline(
+        "automatic-speech-recognition",
+        model="openai/whisper-small.en",  # More accurate
+        chunk_length_s=30
+    )
+    
+    return better_transcriber({"sampling_rate": sr, "raw": y})["text"]
+
+# the remaining is the same 
+
+
+
 
 # Clear chat history function
 def clear_chat_history():