app.py update

ml/app.py

 from inference import *
 from flask_cors import CORS
 from flask import Flask, Response, jsonify, request
+from tensorflow.keras.models import load_model
+from youtubesearchpython import VideosSearch
+import cv2
 from pymongo import MongoClient
 import threading
 import requests
+import numpy as np
 # import schedule
 import time
 import random
 from datetime import datetime
 from mongodb_api import *
 
+data = {0: 'Angry', 1: 'Disgust', 2: 'Fear', 3: 'Happy', 4: 'Sad', 5: 'Surprise', 6: 'Neutral'}
+model = load_model('weights/model.h5')
 
 app = Flask(__name__)
 CORS(app)
@@ -41,6 +47,34 @@ def update_diet_plan():
         time.sleep(60)
 
 
+def pre_processing(img):
+    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    img = cv2.equalizeHist(img)
+    img = img / 255
+    return img
+
+
+def emo_rec(img):
+    img = np.asarray(img)
+    img = cv2.resize(img, (48, 48))
+    img = pre_processing(img)
+    img = img.reshape(1, 48, 48, 1)
+    predict_x = model.predict(img)
+    classes_x = np.argmax(predict_x, axis=1)
+    return data[classes_x[0]], int(classes_x[0])  # Convert int64 to int
+
+
+def get_music_link(emotion):
+    search_query = f'{emotion} relaxing music'
+    videos_search = VideosSearch(search_query, limit=10)
+    results = videos_search.result()
+
+    video_links = [video['link'] for video in results['result']]
+    if not video_links:
+        return None
+    selected_link = random.choice(video_links)
+    return selected_link
+
 thread1 = threading.Thread(target=update_risk_level)
 thread1.start()
 
@@ -102,6 +136,25 @@ def record():
     )
 
 
+
+@app.route('/predict', methods=['POST'])
+def predict_emotion_and_music():
+    if 'image' not in request.files:
+        return jsonify({'error': 'No image part'})
+
+    image = request.files['image']
+    image_np = np.fromstring(image.read(), np.uint8)
+    image_cv2 = cv2.imdecode(image_np, cv2.IMREAD_COLOR)
+
+    emotion_label, emotion_class = emo_rec(image_cv2)
+    music_link = get_music_link(emotion_label)
+
+    if music_link is None:
+        return jsonify({'emotion': emotion_label, 'class': emotion_class, 'message': 'No music found'})
+
+    return jsonify({'emotion': emotion_label, 'class': emotion_class, 'music_link': music_link})
+
+
 if __name__ == "__main__":
     app.run(
         debug=True,