app.py

import gradio as gr
import requests
import random
import os

def process(prompt):
    """
    Processes the user's text prompt and generates an image using Pollinations API,
    while enforcing universal facts and realism in the output.
    """

    # Universal fact / negative guidance prompt
    universal_prompt = (
        "Make it realistic, consistent with universal facts, and physically possible. "
        "Don't generate blurry, low quality, distorted, watermark, text, cropped, "
        "deformed, bad anatomy, extra limbs, missing limbs, duplicate objects, pixelated, "
        "ugly, disfigured, grainy, noisy, extra moons, duplicate moons, impossible physics."
    )

    # Combine user prompt with universal guidance
    final_prompt = f"{prompt}. {universal_prompt}"

    # Generate filename
    filename = str(random.randint(111111111, 999999999)) + ".png"
    file_path = os.path.join(os.path.dirname(__file__), filename)

    # Build API request
    api_url = (
        "https://image.pollinations.ai/prompt/"
        + final_prompt.replace(" ", "%20")
        + "?model=flux-realism"
        + "&width=2048&height=2048"
        + "&nologo=true"
        + "&seed=" + str(random.randint(0, 999999999))
    )

    response = requests.get(api_url)

    if response.status_code == 200:
        with open(file_path, "wb") as f:
            f.write(response.content)
        return file_path
    else:
        return f"Error: Could not retrieve image. Status code: {response.status_code}"

# Define the Gradio interface
title = "Pollinations Image Generator"
description = "This app generates images from text using the Pollinations API."
article = "Note: Universal facts and realism are enforced in the generated images."

iface = gr.Interface(
    fn=process,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here...", label="Prompt"),
    outputs=gr.Image(type="filepath", label="Generated Image"),
    title=title,
    description=description,
    article=article
)

iface.launch(server_name="0.0.0.0", server_port=7860, pwa=True)