User interface (UI) for a Flask API built with ChatGPT
Here is an example of how you might create a user interface (UI) for a Flask API built with ChatGPT or other conversational language models:
First, you will need to install the flask library and any other dependencies that you might need for your UI, such as front-end libraries like bootstrap or jquery. You can do this using the following command:
pip install flask
Next, you can create a Flask app and define a route that displays the UI. This route can return an HTML template with the UI elements, such as a text input field and a button for sending a message:
import flask
app = flask.Flask(__name__)
@app.route("/")
def home():
return flask.render_template("index.html")
In the HTML template index.html, you can include the UI elements and any necessary CSS or JavaScript code. For example:
<html>
<head>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css" integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk" crossorigin="anonymous">
<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js" integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj" crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/@popperjs/core@2.16.0/dist/umd/popper.min.js" integrity="sha384-QDn2BnVJ9NC6c8u6d
In the HTML template, you can add a form with a text input field and a submit button:
<form id="form">
<div class="form-group">
<label for="input">Enter your message:</label>
<input type="text" class="form-control" id="input" name="input">
</div>
<button type="submit" class="btn btn-primary">Send</button>
</form>
Next, you can add a div element to display the response from the API:
<div id="response"></div>
Finally, you can add the JavaScript code to send a POST request to the API and display the response in the UI:
$(document).ready(function() {
$("#form").submit(function(e) {
e.preventDefault();
// Get the input text
var input = $("#input").val();
// Send a request to the API
$.post("/predict", { input: input }, function(response) {
// Display the response in the UI
$("#response").html(response.response);
});
});
});
This code will send a POST request to the /predict endpoint of the API with the input text when the form is submitted, and display the response in the div element
To complete the example, you will need to define the /predict route in your Flask API to handle the POST request and generate a response using the ChatGPT model:
import openai
# Load the ChatGPT model
model = openai.Model.load("my_model")
@app.route("/predict", methods=["POST"])
def predict():
# Get the input text from the request
input_text = request.form["input"]
# Set the context
context = "I'm a chatbot."
# Generate a response using the ChatGPT model
response = model.prompt(input_text, context)
# Return the response as a JSON object
return {"response": response}
This route will receive a POST request with an input field, and use the ChatGPT model to generate a response based on the input text and the specified context. The response will be returned as a JSON object with a single response field.
Finally, you can run the Flask app to start the server:
if __name__ == "__main__":
app.run()
This will start the Flask server and make the API and UI available at the specified URL (usually http://localhost:5000). You can open the URL in a web browser to interact with the API and see the responses displayed in the UI.
Keep in mind that this is just a simple example, and there are many other options and settings that you can use to customize the behavior of the API and UI
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