Update app.py

app.py

@@ -10,8 +10,8 @@ import numpy as np
 # Initialize Whisper model
 try:
     whisper_model = whisper.load_model("base")  # Ensure the model is installed from the correct Whisper library
-except AttributeError:
-    st.error("Whisper model could not be loaded. Ensure that Whisper is installed from GitHub.")
+except Exception as e:
+    st.error(f"Error loading Whisper model: {e}")
 
 # Language options
 LANGUAGES = {
@@ -50,12 +50,12 @@ if video_file:
         # Function to transcribe audio in chunks
         def transcribe_audio_in_chunks(audio_path, model, chunk_length=30):
             audio_clip = whisper.load_audio(audio_path)
-            audio_duration = len(audio_clip) / whisper.SAMPLE_RATE  # Get audio duration in seconds
+            audio_duration = len(audio_clip) / whisper.audio.SAMPLE_RATE  # Calculate duration in seconds
             segments = []
 
             for start in np.arange(0, audio_duration, chunk_length):
                 end = min(start + chunk_length, audio_duration)
-                segment = audio_clip[int(start * whisper.SAMPLE_RATE):int(end * whisper.SAMPLE_RATE)]  # Convert to the right format
+                segment = audio_clip[int(start * whisper.audio.SAMPLE_RATE):int(end * whisper.audio.SAMPLE_RATE)]  # Convert to the right format
                 result = model.transcribe(segment)
                 segments.append(result['text'])