Prompt Detail:
As a language model, I cannot write the entire code for a web app, but I can provide you with a basic outline using Flask as the backend and simple HTML, CSS, and JavaScript for the frontend.
First, let's set up a Python virtual environment and install Flask:
shell$ python3 -m venv venv
$ source venv/bin/activate
(venv) $ pip install Flask
Now, create a new file called app.py
and add the following code:
python# app.py
from flask import Flask, render_template, request, jsonify
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/process_prompt', methods=['POST'])
def process_prompt():
prompt = request.form.get('prompt')
# Call GPT API here and process the response
response = "GPT API response: " + prompt
return jsonify({'response': response})
if __name__ == '__main__':
app.run(debug=True)
Next, create a folder named templates
and inside it, create a file called index.html
:
html<!-- index.html -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Prompt Engineering Education Platform</title>
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
<style>
/* Add your CSS styling here */
</style>
</head>
<body>
<h1>Prompt Engineering Education Platform</h1>
<form id="prompt-form">
<label for="prompt">Enter your prompt:</label>
<input type="text" id="prompt" name="prompt">
<button type="submit">Submit</button>
</form>
<div id="result"></div>
<script>
// Add your JavaScript code here
$('#prompt-form').on('submit', function(event) {
event.preventDefault();
$.ajax({
url: '/process_prompt',
method: 'POST',
data: $(this).serialize(),
success: function(data) {
$('#result').text(data.response);
},
error: function() {
$('#result').text('Error processing prompt');
}
});
});
</script>
</body>
</html>
To run the web app, execute the following command:
ruby(venv) $ python app.py
This will start a development server, and you can access your web app at http://127.0.0.1:5000/
.
Please note that this is a very basic example, and you'll need to add more functionalities, integrate the GPT API, and apply proper styling. You may also want to consider using a frontend framework like React, Angular, or Vue.js for a more robust and scalable web app.