Add application file

app.py

@@ -1,55 +1,11 @@
 import streamlit as st
-import numpy as np
-import pandas as pd
-import io
 
-# Page config
-st.set_page_config(page_title="AI Music Genre Classifier", layout="wide")
+st.title("🎵 Music Genre Classifier")
 
-# Initialize session state
-if 'history' not in st.session_state:
-    st.session_state.history = []
+st.write("Basic test to verify app is working")
 
+audio_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav'])
 
-def main():
-    st.title("🎵 AI Music Genre Classifier")
-
-    # File uploader
-    audio_file = st.file_uploader("Upload an audio file (MP3, WAV)", type=['mp3', 'wav'])
-
-    if audio_file is not None:
-        st.audio(audio_file)
-
-        # Simulate genre classification
-        genres = ['Rock', 'Pop', 'Hip Hop', 'Classical', 'Jazz']
-        predictions = np.random.dirichlet(np.ones(len(genres)))
-
-        # Display predictions
-        st.header("Genre Predictions:")
-
-        # Create simple bar chart using streamlit
-        genre_df = pd.DataFrame({
-            'Genre': genres,
-            'Confidence': predictions
-        })
-        st.bar_chart(genre_df.set_index('Genre'))
-
-        # Save to history
-        top_genre = genres[np.argmax(predictions)]
-        confidence = np.max(predictions)
-
-        st.session_state.history.append({
-            'File': audio_file.name,
-            'Predicted Genre': top_genre,
-            'Confidence': f"{confidence:.2%}"
-        })
-
-    # History section
-    if st.session_state.history:
-        st.header("Classification History:")
-        history_df = pd.DataFrame(st.session_state.history)
-        st.dataframe(history_df)
-
-
-if __name__ == "__main__":
-    main()
+if audio_file is not None:
+    st.audio(audio_file)
+    st.write("File uploaded successfully!")