Create app.py

app.py

@@ -0,0 +1,76 @@
+import gradio as gr
+import re
+import numpy as np
+import torch
+import os
+from gradio_client import Client
+
+client = Client(os.environ['DEMO_URL'])
+def run(image_input1,image_input2,image_input3,
+        audio_input1,audio_input2,audio_input3,instruction,
+        alpha,h0,h1,h2,norm,refinement,num_steps=50,seed=0):
+    return client(image_input1,image_input2,image_input3,
+        audio_input1,audio_input2,audio_input3,instruction,
+        alpha,h0,h1,h2,norm,refinement,num_steps=50,seed=0)
+
+#demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+examples = [
+        # [
+        #     "assets/demo/an antique shop.jpg",None,None,
+        #     "assets/demo/clock ticking.wav",None,None,
+        #     'add [audio1] to [image1]',
+        #     1.0,0.4,0.6,0.4,
+        #     20,0.3,25
+        # ],
+]
+
+if __name__ == "__main__":
+    with gr.Blocks() as demo:
+        gr.Markdown("InstructAny2Any")  
+        gr.Markdown("Input Image")  
+        with gr.Row():
+            image_input1 = gr.Image(type='filepath')
+            image_input2 = gr.Image(type='filepath')
+            image_input3 = gr.Image(type='filepath')
+        gr.Markdown("Input Audio")  
+        with gr.Row():
+            audio_input1 = gr.Audio(type='filepath')
+            audio_input2 = gr.Audio(type='filepath')
+            audio_input3 = gr.Audio(type='filepath')
+        gr.Markdown("Instruction")  
+        with gr.Row():
+            instruction = gr.Textbox()
+        with gr.Row():
+            alpha = gr.Slider(minimum=0.0,maximum=1.0,value=1.0,step=0.05,label='alpha')
+            refinement = gr.Slider(minimum=0.0,maximum=1.0,value=0.3,step=0.1,label='refinement')
+            seed =  gr.Slider(minimum=0.0,maximum=4096.0,value=0,step=1.0,label='seed')
+        with gr.Row():
+            norm = gr.Slider(minimum=0.0,maximum=20.0,value=20.0,step=1.0,label='norm')
+            num_steps = gr.Slider(minimum=10.0,maximum=50.0,value=25.0,step=1.0,label='steps')
+            h0 = gr.Slider(minimum=0.0,maximum=3.0,value=0.4,step=0.05,label='h0')
+            h1 = gr.Slider(minimum=0.0,maximum=3.0,value=0.6,step=0.05,label='h1')
+            h2 = gr.Slider(minimum=0.0,maximum=3.0,value=0.4,step=0.05,label='h2')
+        with gr.Row():
+            launch_button = gr.Button("Run")
+        with gr.Row():
+            out_text = gr.Text(interactive=False)
+        with gr.Row():
+            out_img = gr.Image(interactive=False)
+        with gr.Row():
+            gr.Examples(
+            examples=examples,
+            inputs=[
+            image_input1,image_input2,image_input3,
+            audio_input1,audio_input2,audio_input3,instruction,
+             alpha,h0,h1,h2,norm,refinement,num_steps
+            ],
+            # outputs=result,
+            # fn=process_example,
+            # cache_examples=CACHE_EXAMPLES,
+            )
+        launch_button.click(run,inputs=[
+            image_input1,image_input2,image_input3,
+            audio_input1,audio_input2,audio_input3,instruction,
+             alpha,h0,h1,h2,norm,refinement,num_steps
+        ],outputs=[out_text,out_img])
+    demo.launch(show_api=False,share=True)