from flask import Flask, request, jsonify, render_template from transformers import pipeline

app = Flask(name)

chatbot = pipeline('conversational', model='microsoft/DialoGPT-medium')

predefined_responses = { "what's your name": "My name is MO AI.", "hello": "Hello! Welcome to MO AI. What can I help you with today?", "hi": "Hi there! Welcome to MO AI. How can I assist you?", "how are you": "I'm just a bunch of code, but I'm here to help you!" }

def get_response(user_input): user_input_lower = user_input.lower() for question, answer in predefined_responses.items(): if question in user_input_lower: return answer # If no predefined response, use the model response = chatbot(user_input)[0]["generated_text"] return response

@app.route('/') def index(): return render_template('index.html')

@app.route('/chat', methods=['POST']) def chat(): user_input = request.json.get('message') response = get_response(user_input) return jsonify({'response': response})

if name == 'main': app.run(debug=True)