Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+from PIL import Image
+import io
+
+# Initialize the client (Uses Hugging Face's free inference API)
+client = InferenceClient("lllyasviel/sd-controlnet-scribble")
+
+def generate_image(sketch, prompt):
+    if sketch is None:
+        return None
+    
+    # The model expects a prompt to guide the style
+    full_prompt = f"Professional photography, high quality, realistic, {prompt}"
+    
+    # Generate the image
+    # Note: 'sketch' from Gradio is a dictionary with 'composite' or a PIL image
+    image = client.image_to_image(sketch, prompt=full_prompt)
+    return image
+
+# Build a stylish UI
+with gr.Blocks() as demo:
+    gr.Markdown("# 🎨 Sketch-to-Photo AI")
+    gr.Markdown("Draw something simple on the left, type what it is, and watch it turn into a photo!")
+    
+    with gr.Row():
+        with gr.Column():
+            # The Sketchpad input
+            input_sketch = gr.Sketchpad(type="pil", label="Draw Here")
+            prompt_input = gr.Textbox(placeholder="What did you draw? (e.g., 'A sunset over mountains')", label="Description")
+            btn = gr.Button("Magic Generate ✨")
+        
+        with gr.Column():
+            output_image = gr.Image(label="AI Result")
+
+    btn.click(fn=generate_image, inputs=[input_sketch, prompt_input], outputs=output_image)
+
+if __name__ == "__main__":
+    demo.launch()