Create app.py

app.py

@@ -0,0 +1,68 @@
+from flask import Flask,jsonify,render_template,request
+import pickle
+import pandas as pd
+import pandas as pd
+import numpy as np
+
+# Open the file using 'with' statement
+with open('popular1.pkl', 'rb') as f:
+    popular_df = pd.read_pickle(f)
+with open('pt1.pkl', 'rb') as fi:
+    pt = pd.read_pickle(fi)
+with open('banquet.pkl', 'rb') as fil:
+    banquets = pd.read_pickle(fil)
+with open('similarity_scores1.pkl', 'rb') as file:
+    similarity_scores = pd.read_pickle(file)
+
+
+app = Flask(__name__)
+
+@app.route('/')
+def index():
+    return render_template(
+        'index.html',
+        banquet_img=list(popular_df['Jn12ke src'].values),
+        banquet_name=list(popular_df['Hall-Name'].values),
+        banquet_reviews=list(popular_df['num_ratings'].values),
+        banquet_rating=list(popular_df['Rating_x'].values),
+        
+
+    )
+@app.route('/recommend')
+def recommend_ui():
+    return render_template(
+
+        'Recommend.html'
+    )
+
+@app.route('/banquet',methods=['post'])
+def recommend(): 
+    user_input=request.form.get('user-input')
+
+    if user_input not in pt.index:
+        return "Banquet not found in the index"
+
+    index = np.where(pt.index ==user_input)[0][0]
+    similar_items = sorted(enumerate(similarity_scores[index]), key=lambda x: x[1], reverse=True)[1:5]
+
+    data = []
+    for i in similar_items:
+        item = []
+        temp_df = banquets[banquets['Hall-Name'] == pt.index[i[0]]]
+        item.extend(temp_df.drop_duplicates('Hall-Name')['Hall-Name'].values)
+        item.extend(temp_df.drop_duplicates('Hall-Name')['Address'].values)
+        item.extend(temp_df.drop_duplicates('Hall-Name')['Contact'].values)
+        item.extend(temp_df.drop_duplicates('Hall-Name')['Rating'].values)
+        item.extend(temp_df.drop_duplicates('Hall-Name')['Jn12ke src'].values)
+
+        data.append(item)
+
+    print(data)
+ 
+    return render_template('Recommend.html', data=data )
+    
+
+if __name__=="__main__":
+    app.run(debug=True)
+  
+