Update app.py

app.py

@@ -5,6 +5,10 @@ import numpy as np
 import streamlit as st
 from tensorflow import keras
 from sklearn.preprocessing import LabelEncoder
+from flask import Flask, request, jsonify
+
+
+app = Flask(__name__)
 
 
 # load dataset
@@ -25,6 +29,29 @@ model = keras.models.load_model('model')
 # parameters
 max_len = 20
 
+
+@app.route('/chat', methods=['POST'])
+def chat():
+    # Retrieve the input text from the request
+    question = request.json['text']
+
+    result = model.predict(keras.preprocessing.sequence.pad_sequences(tokenizer.texts_to_sequences([question]),
+                                        truncating='post', maxlen=max_len))
+
+    tag = lbl_encoder.inverse_transform([np.argmax(result)])
+        
+    for i in data['intents']:
+        if i['tag'] == tag:
+            answer = np.random.choice(i['responses'])
+    
+            # Return the answer as a JSON response
+            response = {'answer': answer}
+            return jsonify(response)
+
+if __name__ == '__main__':
+    app.run()
+    
+
 question = st.text_area('....اسأل سؤال')
 
 result = model.predict(keras.preprocessing.sequence.pad_sequences(tokenizer.texts_to_sequences([question]),