Creating a ChatGPT Application with ChatGPT API from OpenAI in Python Flask

OpenAI’s GPT-3 has revolutionized the world of natural language processing. It can generate human-like text based on the input given to it. With the introduction of the ChatGPT API from OpenAI, developers can now integrate this powerful tool into their own applications. In this article, we will walk through the process of creating a chat application using the ChatGPT API in Python Flask.

Setting up the Environment

Before we can start building our ChatGPT application, we need to set up our development environment. We will need Python and Flask installed on our system. To install Flask, we can use pip:

pip install Flask

Creating the Application

Now that our environment is set up, we can start building our application. First, we need to import the necessary libraries and create a Flask app:

from flask import Flask

app = Flask(__name__)

Next, we need to create a route for our chat endpoint. This is where the user will input their message, and our application will use the ChatGPT API to generate a response. We can use the requests library to make a POST request to the ChatGPT API:

import requests

@app.route('/chat', methods=['POST'])
def chat():
    message = request.form['message']
    response = requests.post('https://api.openai.com/v1/engines/davinci-codex/completions', 
                             headers={'Authorization': 'Bearer YOUR_API_KEY'}, 
                             json={'prompt': message, 'max_tokens': 150})
    return response.json()['choices'][0]['text']

Make sure to replace ‘YOUR_API_KEY’ with your actual API key from OpenAI. Now, when a POST request is made to the ‘/chat’ endpoint with a ‘message’ parameter, our application will use the ChatGPT API to generate a response.

Running the Application

Finally, we can run our Flask application using the following command:

flask run

Our ChatGPT application is now up and running! Users can input a message, and our application will use the ChatGPT API to generate a human-like response.

Conclusion

Integrating the ChatGPT API into our Python Flask application is a powerful way to leverage the capabilities of OpenAI’s GPT-3. With this knowledge, developers can create chat applications, language translation tools, and more. The possibilities are endless!