Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+title = "Control Net for Media Pipe Hand tracking"
+description = "This is a demo of a Media pipe hand tracking"
+def inference_fun(prompt, negative_prompt, image):
+    # your inference code goes here
+    return None
+
+
+
+with gr.Blocks(theme='gradio/soft') as demo:
+    gr.Markdown("## Control Net for Media Pipe Hand tracking")
+
+
+        
+    with gr.Tab("Stable Diffusion"):
+        prompt_input_txt = gr.Textbox(label="Prompt")
+        negative_prompt_txt = gr.Textbox(label="Negative Prompt")
+        sd_input = gr.Image(label="Input Image")
+        sd_output = gr.Image(label="Output Image")
+        submit_btn = gr.Button(value = "Submit")
+        sd_inputs = [prompt_input_seg, negative_prompt_seg, sd_input]
+        submit_btn.click(fn=infer_sd, inputs=sd_inputs, outputs=[sd_output])
+    #examples = [["a woman is making an ok sign in front of a painting", "low quality", "val_1.png", "val_2.png" ]]
+    #gr.Examples(fn = infer_sd, inputs = ["text", "text", "image", "image"], examples=examples, cache_examples=True)
+
+
+demo.launch()