Delete app.py

app.py

@@ -1,61 +0,0 @@
-import gradio as gr
-import json
-from transformers import pipeline
-from PIL import Image
-import os
-import spaces
-
-# Text Expansion Model (ZeroGPU-compatible)
-text_generator = pipeline("text2text-generation", model="t5-base")
-
-# Image Generation Model (ZeroGPU-compatible)
-image_generator = pipeline("text-to-image", model="stabilityai/sdxl-turbo")
-
-@spaces.GPU
-def generate_cartoon(script_text):
-    # Step 1: Generate scene breakdown
-    prompt = f"""
-    Convert this cartoon story into a structured scene list in JSON format. For each scene include:
-    1. "scene_description"
-    2. "dialogue"
-    3. "characters"
-    4. "background_description"
-
-    Story: {script_text}
-    Return as: {{ "scenes": [{{ ... }}] }}
-    """
-
-    try:
-        result = text_generator(prompt, max_new_tokens=1024)[0]['generated_text']
-        scene_data = json.loads(result)
-    except Exception as e:
-        return f"Failed to generate structured scenes. Error: {e}"
-
-    os.makedirs("generated_images", exist_ok=True)
-
-    results = []
-    for idx, scene in enumerate(scene_data.get("scenes", [])):
-        # Generate background image
-        bg_prompt = scene.get("background_description", "cartoon background, colorful")
-        image = image_generator(bg_prompt, guidance_scale=7.5, num_inference_steps=25).images[0]
-        image_path = f"generated_images/scene_{idx+1}.png"
-        image.save(image_path)
-
-        # Collect image and dialogue
-        dialogue = scene.get("dialogue", "")
-        results.append((image_path, f"Scene {idx+1} Dialogue:\n{dialogue}"))
-
-    return results
-
-
-# Gradio Interface
-demo = gr.Interface(
-    fn=generate_cartoon,
-    inputs=gr.Textbox(label="Enter Cartoon Script", lines=10, placeholder="Once upon a time..."),
-    outputs=gr.Gallery(label="Generated Scenes with Dialogues", columns=1, type="auto"),
-    title="Cartoon Film Generator (ZeroGPU)",
-    description="Enter a cartoon story. This tool will break it into scenes, generate background images, and show dialogues. Audio and video creation should be done in Colab."
-)
-
-if __name__ == "__main__":
-    demo.launch()