In this article, we will discuss how to connect the front-end of a web application with the back-end using Flask. We will start by setting up our environment and obtaining the necessary API key for OpenAI. Then, we will write some basic code to establish a connection with the OpenAI API and receive responses.
Next, we will focus on connecting the front-end with the back-end. In the front-end folder, we have an index.html file which contains a simple chat-like user interface. On the back-end, we have the code that we wrote in our previous tutorial.
To connect the front-end with the back-end, we need a server on the back-end that can listen to HTTP requests and provide appropriate responses. For this purpose, we will use Flask, a micro web framework for Python.
We will create a new file called app.py and import the necessary modules. Then, we will define a Flask server and wrap it with the CORS module to enable cross-origin resource sharing.
Moving on to the front-end, we will make changes to the script.js file to call the Flask API. We will modify the code to include the endpoint and input information provided by the OpenAI API.
Once the code is modified, we can test the connection between the front-end and the back-end. We will run the Flask server and enter some text in the chat interface. The text will be sent to the back-end, processed by the OpenAI API, and the response will be displayed in the front-end.
In conclusion, we have successfully connected the front-end of our web application with the back-end using Flask. We have established a server on the back-end to handle HTTP requests and serve appropriate responses. The front-end is now able to communicate with the back-end and receive responses from the OpenAI API. In the next video, we will further enhance our chatbot by adding memory functionality and exploring more advanced features.
If you need assistance with setting up your environment or obtaining an API key, make sure to watch the previous video. Thank you for watching, and don’t forget to subscribe to our channel for more tutorials!
