Update app.py

app.py

@@ -1,7 +1,56 @@
 import gradio as gr
+import moviepy.editor as mp
+from diffusers import DiffusionPipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Load diffusion pipelines
+image_pipeline = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning")
+video_pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt-1-1")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+@spaces.GPU(duration=120)
+def generate_images(prompt, num_images):
+  """Generates images using the image pipeline."""
+  images = []
+  for _ in range(num_images):
+    generated_image = image_pipeline.pipe(prompt=prompt).images[0]
+    images.append(generated_image)
+  return images
+
+@spaces.GPU(duration=120)
+def generate_videos(images):
+  """Generates videos from a list of images using the video pipeline."""
+  videos = []
+  for image in images:
+    generated_video = video_pipeline.pipe(images=image).images[0]
+    videos.append(generated_video)
+  return videos
+
+def combine_videos(video_clips):
+  """Combines video clips into a single video using moviepy."""
+  final_clip = mp.concatenate_videoclips(video_clips)
+  return final_clip
+
+def generate(prompt, num_images):
+  """Generates and combines images and videos."""
+  images = generate_images(prompt, num_images)
+  video_clips = generate_videos(images)
+  combined_video = combine_videos(video_clips)
+  return combined_video
+
+# Gradio interface with improved formatting and video output
+interface = gr.Interface(
+    fn=generate,
+    inputs="text",
+    outputs="video",
+    interpretation="markdown",
+    title="AI Video Generation",
+    description="Enter a prompt to generate a video using diffusion models.",
+    css="""
+      .output-video {
+        width: 100%; /* Adjust width as needed */
+        height: 400px; /* Adjust height as desired */
+      }
+    """,
+)
+
+# Launch the interface
+interface.launch()