Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+
+# Load the CogVideoX diffusion pipeline (image-to-video model)
+pipe = DiffusionPipeline.from_pretrained("THUDM/CogVideoX-5b-I2V")
+
+def generate_image(prompt):
+    # Generate the first frame of the video from the prompt
+    result = pipe(prompt)
+    image = result.images[0]  # Extract the first frame from the generated video
+    return image
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g. Astronaut in a jungle"),
+    outputs=gr.Image(label="Generated Image (First Frame)"),
+    title="CogVideoX Image-to-Video Generator",
+    description="Generate the first frame of a video using CogVideoX based on your text prompts."
+)
+
+if __name__ == "__main__":
+    iface.launch()