app.py

import gradio as gr
import requests
import uuid

# Function to send POST request
def send_post_request(prompt, ratio, style):
    # Define the URL
    url = "https://ai.hardstonepte.ltd/ai/art/txt2img/"

    # Define the headers with the required values
    headers = {
        "Uid": str(uuid.uuid4()),  # Generating a new UUID
        "Versioncode": "16701",
        "Accept-Version": "v1",
        "Token": "your_token_here",  # Replace with the actual token
        "Content-Type": "application/x-www-form-urlencoded"
    }

    # Define the values to be sent in the POST request
    data = {
        "is_translate": "1",
        "is_first": "true",
        "prompt": prompt,
        "ratio": ratio,
        "style_id": style
    }

    # Sending POST request
    response = requests.post(url, headers=headers, data=data)

    # Return the response text or any relevant information
    if response.status_code == 200:
        return response.text
    else:
        return f"Error: {response.status_code} - {response.text}"

# Gradio interface
def create_interface():
    # Create the Gradio interface with inputs for prompt, ratio, and style
    interface = gr.Interface(
        fn=send_post_request,
        inputs=[
            gr.Textbox(label="Prompt"),
            gr.Textbox(label="Ratio"),
            gr.Textbox(label="Style ID")
        ],
        outputs="text",  # Output the raw response text from the POST request
        title="POST Request to AI Service",
        description="Send a POST request to the AI service with specified parameters"
    )
    return interface

# Launch the Gradio interface
interface = create_interface()
interface.launch()