Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import subprocess
+
+def generate(image, prompt, seed):
+    print(image, prompt, seed)
+    command = f"python handrefiner.py --input_img {image} --out_dir /content/HandRefiner/output --strength 0.55 --weights /content/HandRefiner/models/inpaint_depth_control.ckpt --prompt '{prompt}' --seed {seed}"
+    try:
+        result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+        output_path = '/content/HandRefiner/output/image_0.jpg'
+        print("Output:", result.stdout)
+        return output_path
+    except subprocess.CalledProcessError as e:
+        print("Error:", e.stderr)
+        return None
+
+with gr.Blocks() as demo:
+    with gr.Row():
+      with gr.Column():
+          image = gr.Image(type='filepath')
+          textbox = gr.Textbox(show_label=False, value="a person facing the camera, making a hand gesture, indoor")
+          seed = gr.Slider(minimum=0, maximum=1000000, value=643534)
+          button = gr.Button()
+      output_image = gr.Image(show_label=False, type="filepath", interactive=False, height=512, width=512)
+    button.click(fn=generate, inputs=[image, textbox, seed], outputs=[output_image])
+
+demo.queue().launch(inline=False, share=True, debug=True)