Create appie.py

appie.py

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+import streamlit as st 
+import cv2 
+import numpy as np 
+from tensorflow.keras.models import load_model 
+from tensorflow.keras.preprocessing.image 
+import img_to_array import os
+
+
+MODEL_PATH = "emotion_model.h5"  # Placeholder path 
+if os.path.exists(MODEL_PATH): 
+    model = load_model(MODEL_PATH)
+else: 
+    model = None 
+    st.error("Model file not found! Please provide a trained model.")
+
+
+EMOTIONS = ["Angry", "Disgust", "Fear", "Happy", "Neutral", "Sad", "Surprise"]
+
+
+MUSIC_RECOMMENDATIONS = { "Happy": ["Happy - Pharrell Williams", "Can't Stop the Feeling - Justin Timberlake"], "Sad": ["Someone Like You - Adele", "Fix You - Coldplay"], "Angry": ["Break Stuff - Limp Bizkit", "Smells Like Teen Spirit - Nirvana"], "Neutral": ["Let It Be - The Beatles", "Imagine - John Lennon"], "Fear": ["Thriller - Michael Jackson", "Disturbia - Rihanna"], "Surprise": ["Shake It Off - Taylor Swift", "Uptown Funk - Bruno Mars"], "Disgust": ["Not Afraid - Eminem", "Lose Yourself - Eminem"] }
+
+
+
+st.title("AI-Powered Mood-Based Music Recommendation")
+
+
+uploaded_file = st.file_uploader("Upload an image of your face", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None and model: # Read image
+    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8) 
+    image = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR) 
+    image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) 
+    image_resized = cv2.resize(image_gray, (48, 48)) 
+    image_array = img_to_array(image_resized) 
+    image_array = np.expand_dims(image_array, axis=0) / 255.0
+
+# Predict emotion
+    prediction = model.predict(image_array)
+    predicted_emotion = EMOTIONS[np.argmax(prediction)]
+
+    st.image(image, caption=f"Detected Emotion: {predicted_emotion}", use_column_width=True)
+
+# Recommend songs
+    st.subheader("Recommended Songs for Your Mood:")
+    for song in MUSIC_RECOMMENDATIONS.get(predicted_emotion, []):
+        st.write(f"- {song}")
+
+else:
+    st.info("Please upload an image to proceed."