z

src/streamlit_app.py

@@ -390,49 +390,32 @@ def show_home_page():
     st.info("💡 **Tip for Hugging Face Spaces:** Large files (>10MB) may fail to upload. Try smaller audio files or compress your audio if you encounter issues.")
     
     uploaded_file = st.file_uploader(
-        "Upload an audio file", 
+        "Choose an audio file", 
         type=['wav', 'mp3', 'flac', 'm4a'],
-        help="Supported formats: WAV, MP3, FLAC, M4A. Keep files under 10MB for best compatibility on Hugging Face Spaces."
+        help="Supported formats: WAV, MP3, FLAC, M4A"
     )
     
     if uploaded_file is not None:
-        try:
-            # Read file data
-            audio_data = uploaded_file.read()
-            
-            # Check file size (warn if >10MB for HF Spaces)
-            file_size_mb = len(audio_data) / (1024 * 1024)
-            if file_size_mb > 10:
-                st.warning(f"⚠️ File size: {file_size_mb:.1f}MB. Large files may cause issues on Hugging Face Spaces.")
-            
-            # Store in session state
-            st.session_state.audio_file = audio_data
-            
-            # Get duration
-            st.session_state.audio_duration = get_audio_duration(audio_data)
-            
-            st.success(f"✅ Audio file uploaded successfully! ({file_size_mb:.1f}MB)")
-            
-            if st.session_state.audio_duration > 0:
-                st.info(f"Duration: {format_time(st.session_state.audio_duration)}")
-            
-            # Show audio player
-            st.subheader("Audio Preview")
-            audio_html = create_audio_player_html(st.session_state.audio_file)
-            st.components.v1.html(audio_html, height=120)
-            
-            # Continue button
-            if st.button("Continue to Transcription →", type="primary"):
-                st.session_state.current_page = "transcription"
-                st.rerun()
-                
-        except Exception as e:
-            st.error(f"❌ Error processing audio file: {str(e)}")
-            st.error("This might be due to:")
-            st.error("- File format not supported")
-            st.error("- File too large for Hugging Face Spaces")
-            st.error("- Corrupted audio file")
-            st.info("Try converting your audio to WAV format and reducing the file size.")
+        st.session_state.audio_file = uploaded_file.read()
+        
+        # Save temporary file to get duration
+        with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
+            tmp_file.write(st.session_state.audio_file)
+            st.session_state.audio_duration = get_audio_duration(tmp_file.name)
+            os.unlink(tmp_file.name)
+        
+        st.success(f"✅ Audio file uploaded successfully!")
+        st.info(f"Duration: {format_time(st.session_state.audio_duration)}")
+        
+        # Show audio player
+        st.subheader("Audio Preview")
+        audio_html = create_audio_player_html(st.session_state.audio_file)
+        st.components.v1.html(audio_html, height=120)
+        
+        # Continue button
+        if st.button("Continue to Transcription →", type="primary"):
+            st.session_state.current_page = "transcription"
+            st.rerun()
 
 def show_transcription_page():
     """Transcription page - text annotation"""