app.py

import gradio as gr
import requests
import base64
import os
import time

# Get your Hugging Face access token from the secrets
HUGGING_FACE_API_KEY = os.getenv("onteddu")  # Ensure your access token is properly set

def generate_images_from_text(text):
    # Generate an image using Hugging Face's API
    headers = {
        "Authorization": f"Bearer {HUGGING_FACE_API_KEY}"
    }
   
    response = requests.post(
        "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell",  # Correct model name
        headers=headers,
        json={"inputs": text}
    )
   
    if response.status_code == 200:
        # The API response contains the image as raw binary data
        image_data = response.content
       
        # Convert the image to Base64 for embedding in HTML
        base64_image = base64.b64encode(image_data).decode('utf-8')
        return f"data:image/png;base64,{base64_image}"
    else:
        print(f"Error generating image: {response.text}")
        return None

def generate_comic(short_story):
    sentences = short_story.split('. ')
    images = []

    for sentence in sentences:
        if sentence.strip():
            try:
                # Generate one image for each sentence
                image_data = generate_images_from_text(sentence)
                if image_data:
                    images.append(image_data)

                # Sleep for a short duration to avoid hitting rate limits
                time.sleep(2)  # Adjust this time if needed

            except Exception as e:
                print(f"Error generating image: {e}")

    # Create comic HTML with reduced image sizes and panel layout
    comic_html = '<div style="display: flex; flex-wrap: wrap;">'
    for img in images:
        comic_html += f'<div style="flex: 1; margin: 5px;"><img src="{img}" style="max-width: 300px; max-height: 300px;" /></div>'
    comic_html += '</div>'
   
    return comic_html

# Gradio interface
iface = gr.Interface(
    fn=generate_comic,
    inputs=gr.Textbox(label="Your Short Story", lines=10, placeholder="Enter your short story here..."),
    outputs=gr.HTML(label="Generated Comic"),
    title="Narrative to Comic Generator",
    description="Enter a short story, and the app will generate a comic-style storybook with images and dialogues."
)

iface.launch()