Update app.py

app.py

@@ -5,9 +5,7 @@ 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
 with open("intents.json", encoding="utf8") as file:
@@ -27,28 +25,6 @@ model = keras.models.load_model('model')
 # parameters
 max_len = 20
 
-
-@app.route('/chat', methods=['POST'])
-def translate_text():
-    # 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:
-            out = np.random.choice(i['responses'])
-            response = {'answer': out}
-            return jsonify(response)
-
-
-if __name__ == '__main__':
-    app.run()
-    
-
 question = st.text_area('....اسأل سؤال')
 
 if question == '':