Creating a REST API using Python Flask and ChatGPT
In this article, we will learn how to create a REST API using Python Flask and integrate it with ChatGPT, a state-of-the-art language model developed by OpenAI. With this combination, you can build a powerful API that can generate human-like responses to user queries.
Step 1: Setting up the environment
First, make sure you have Python installed on your machine. You can install Flask using pip by running the following command in your terminal:
pip install flask
Step 2: Creating the API endpoint
Create a new Python file, let’s call it app.py. In this file, we will define our Flask app and create an API endpoint that will handle user requests. Here’s a simple example:
from flask import Flask, request, jsonify
from chatgpt import GPT, Example
app = Flask(__name__)
gpt = GPT(engine="davinci")
@app.route('/api/chat', methods=['POST'])
def chat():
data = request.get_json()
user_input = data['input']
response = gpt.submit_request(user_input)
return jsonify({'response': response})
if __name__ == '__main__':
app.run()
Step 3: Testing the API
Now that we have our API endpoint defined, let’s test it. Run the app.py file and make a POST request to the /api/chat endpoint with a JSON body containing the user input. You should receive a response generated by ChatGPT.
Step 4: Integrating with ChatGPT
To use ChatGPT in your API, you will need an API key from OpenAI. Once you have the key, you can initialize the GPT object with the key like so:
gpt = GPT(engine="davinci", api_key="YOUR_API_KEY")
With ChatGPT integrated, you now have a powerful language model at your disposal to create a wide range of conversational applications.
Conclusion
Creating a REST API using Python Flask and integrating it with ChatGPT is a powerful way to harness the capabilities of a sophisticated language model. With this combination, you can build chatbots, virtual assistants, and other conversational applications that can understand and respond to users in a natural and human-like way.
Sorry, but it doesn't work for me. I admit that this would be my first Flask api, and I followed everything to the letter (up to 20:00, which is the main part). Two issues (both in chat_gpt_controller.py):
One: If I just keep this code: @chat_gpt_route.route('/message',methods=['POST']) (only a POST request), the server(postman or otherwise throws the error: Method Not Allowed, The method is not allowed for the requested URL (this was true even until this point, so I changed this code in @chat_gpt_route.route('/message',methods=['GET', 'POST'])
Second: Now, with @chat_gpt_route.route('/message',methods=['GET', 'POST']) , the main issue seems to be in chat_gpt_controller.py at
body = request.json . This throws the error: Bad Request: Did not attempt to load JSON data because the request Content-Type was not 'application/json'.
So it has to do with the type of data in body (which needs to be json) but the browser does not recognize it as such? It may be an easy fix, but this being my first experience with flask, I don't know where to look for a fix.