Delete app.py

app.py

@@ -1,54 +0,0 @@
-import os
-import torch
-import gradio as gr
-import ffmpeg
-from diffusers import StableDiffusionPipeline
-
-# Load Stable Diffusion for AI image generation
-pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16)
-pipe = pipe.to("cuda")
-
-def generate_image(prompt, style=None):
-    """Generate an AI image from a text prompt and style."""
-    full_prompt = f"{style} {prompt}" if style else prompt
-    image = pipe(full_prompt).images[0]
-    return image
-
-def create_video(images, audio_path, output_path="output_video.mp4", fps=1):
-    """Create a video using ffmpeg without moviepy."""
-    image_files = []
-    for i, img in enumerate(images):
-        img_path = f"frame_{i}.png"
-        img.save(img_path)
-        image_files.append(img_path)
-    
-    # Use ffmpeg to generate video
-    input_images = "frame_%d.png"
-    ffmpeg.input(input_images, framerate=fps).output(output_path, vcodec="libx264", pix_fmt="yuv420p").run()
-
-    # Add audio using ffmpeg
-    video_with_audio = "final_output.mp4"
-    ffmpeg.input(output_path).input(audio_path).output(video_with_audio, codec="copy").run()
-
-    return video_with_audio
-
-def process_input(prompt, style, audio_file):
-    """Handles user input, generates images, and creates the AI video."""
-    images = [generate_image(prompt, style)]
-    video_path = create_video(images, audio_file.name)
-    return video_path
-
-# Gradio UI
-iface = gr.Interface(
-    fn=process_input,
-    inputs=[
-        gr.Textbox(label="Text Prompt"),
-        gr.Textbox(label="Style (e.g., Roblox, Pixel Art, Realistic)"),
-        gr.Audio(label="Upload MP3", type="file")
-    ],
-    outputs=gr.Video(label="Generated AI Video"),
-    title="MP3 & Text to AI Video Generator",
-    description="Upload an MP3, enter a text prompt, select a style, and generate an AI video."
-)
-
-iface.launch(share=True)