OpenAI Chat GPT Bot Integration with Python and Flask

OpenAI’s Chat GPT is a powerful language model that can generate human-like responses in a conversational setting. Integrating Chat GPT into a chatbot application can provide users with a more natural and seamless conversational experience. In this article, we’ll explore how to integrate OpenAI’s Chat GPT into a Python-based chatbot using the Flask web framework.

Setting Up the Environment

First, make sure you have Python installed on your system. You can install the necessary libraries using pip:

pip install openai flask

Creating the Chatbot

Let’s create a simple chatbot using Flask. Create a new Python file, for example, app.py, and add the following code:

from flask import Flask, request
import openai

app = Flask(__name__)

openai.api_key = 'YOUR_API_KEY'

@app.route('/chat', methods=['POST'])
def chat():
    input_text = request.json['text']
    response = openai.Completion.create(
      engine="davinci-codex",
      prompt=input_text,
      max_tokens=150
    )
    return response.choices[0].text

if __name__ == '__main__':
    app.run()

Integrating Chat GPT

In the code above, we create a new route /chat that handles POST requests. When a POST request is made to /chat with a JSON payload containing the user’s input text, the chat() function is called. Inside the chat() function, we use the OpenAI Python library to send the user’s input to the Chat GPT engine and receive a response.

Testing the Integration

To test the integration, run your Flask application and send a POST request to the /chat route with the user’s input text. You can use a tool like cURL or Postman to make the request.

curl -X POST -H "Content-Type: application/json" -d '{"text": "Hello, how are you?"}' http://localhost:5000/chat

You should receive a response from the Chat GPT engine with a human-like reply.

Conclusion

Integrating OpenAI’s Chat GPT into a Python-based chatbot using Flask is a powerful way to create natural and engaging conversational experiences for users. With the flexibility and extensibility of Python and the ease of use of the Flask web framework, building chatbot applications with Chat GPT is more accessible than ever.