Implement streaming using OPEN AI, Flask and Angular

This blog post will look at how to build a streaming application with OpenAI, Flask, Python, and Angular. Streaming applications provide real-time communication between the server and the client, which makes them ideal for chatbots, real-time analytics, and interactive experiences.

Prerequisites

Before we start, make sure you have the following installed:

Python
Flask
Angular

Setting Up the Backend

Create a new Python virtual environment and activate it.
Install Flask using pip install flask.
Install the OpenAI Python library using pip install openai.
Create a new Flask app file, let’s call it app.py.
Import Flask and create a new Flask application.
Implement the streaming logic inside the stream function. This is where you will interact with OpenAI and process the streaming data.

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/api/stream', methods=['POST'])
def stream():
    # Implement your streaming logic here
    pass

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

Setting Up the Frontend

Create a new Angular project using the Angular CLI.
Create a new component to handle the streaming functionality, let’s call it stream.component.
Implement the streaming logic inside the stream.component.ts file.
Create the HTML template for the stream.component and add any necessary styling.

import { Component, OnInit } from '@angular/core';
import { HttpClient } from '@angular/common/http';

@Component({
  selector: 'app-stream',
  templateUrl: './stream.component.html',
  styleUrls: ['./stream.component.css']
})
export class StreamComponent implements OnInit {
  constructor(private http: HttpClient) {}

  ngOnInit(): void {
    this.startStream();
  }

  startStream(): void {
    const streamUrl = '/api/stream'; // Replace with your backend API URL

    // Implement your streaming logic here
  }
}

Conclusion

We learned how to build a streaming application with OpenAI, Flask, Python, and Angular in this blog post. You may create engaging and interactive applications by integrating the capabilities of OpenAI’s language models with real-time communication. Feel free to experiment with different use cases and tailor the solution to your individual requirements. Happy streaming