app.py

import gradio as gr

# Backend function
def process_data(name, age):
    if not name or not age:
        return "Please provide both name and age."
    return f"Hello {name}! You are {age} years old."

# HTML for the form
custom_html = """
<div>
    <h2>Simple Form</h2>
    <label for="name-field">Name:</label>
    <input type="text" id="name-field" placeholder="Enter your name" />
    <br /><br />
    <label for="age-field">Age:</label>
    <input type="number" id="age-field" placeholder="Enter your age" />
    <br /><br />
    <button onclick="submitForm()">Submit</button>
    <p id="result" style="margin-top: 20px; font-size: 1.2em; color: green;"></p>
</div>
"""

# JavaScript for handling submission
custom_script = """
<script>
function submitForm() {
    const name = document.getElementById('name-field').value;
    const age = document.getElementById('age-field').value;

    fetch('/api/predict', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({
            data: [name, age],
            fn_index: 0  // Matches the backend function index
        })
    })
    .then(response => response.json())
    .then(data => {
        document.getElementById('result').innerText = data.data[0];  // Show result
    })
    .catch(error => {
        console.error('Error:', error);
        document.getElementById('result').innerText = 'Failed to process the data.';
    });
}
</script>
"""

# Gradio Interface for the backend
backend_interface = gr.Interface(
    fn=process_data,
    inputs=["text", "text"],
    outputs="text"
)

# Main Gradio app
with gr.Blocks() as app:
    with gr.Row():
        gr.HTML("<h1>Interactive Form Example</h1>")
    with gr.Row():
        gr.HTML(custom_html)
    with gr.Row():
        gr.HTML(custom_script)

# Launching app and backend interface
app.queue()  # Allow async queue
backend_interface.launch()  # Ensure backend is running