Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the stable diffusion model
+pipe = StableDiffusionPipeline.from_pretrained(
+    "CompVis/stable-diffusion-v1-4", 
+    revision="fp16", 
+    torch_dtype=torch.float16
+)
+pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Create a Gradio interface
+gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(lines=2, placeholder="Enter an exercise like 'child to cobra pose'"),
+    outputs="image",
+    title="AI Exercise Visual Generator",
+    description="Enter an exercise name. This tool will generate a visual representation using AI."
+).launch()