fix gradio

app.py

@@ -73,8 +73,8 @@ def generate(
         num_inference_steps=steps,
         image=control_image,
         generator=generator,
-        guidance_scale=guidance_scale,
-        controlnet_conditioning_scale=strength,
+        guidance_scale=float(guidance_scale),
+        controlnet_conditioning_scale=float(strength),
     ).images
     return images
 
@@ -84,11 +84,11 @@ with block:
     with gr.Row():
         gr.Markdown("## KuJiaLe Layout ControlNet Demo")
     with gr.Row():
-        input_image = gr.Image(source="upload", type="numpy", label="input_image")
+        input_image = gr.Image(type="numpy", label="input_image")
     with gr.Row():
         prompt = gr.Textbox(label="Prompt")
     with gr.Row():
-        run_button = gr.Button(label="Run")
+        run_button = gr.Button(value="Run")
     with gr.Row():
         with gr.Column():
             with gr.Accordion("Advanced options", open=False):
@@ -106,7 +106,7 @@ with block:
                     label="Control Strength",
                     minimum=0.0,
                     maximum=2.0,
-                    value=1,
+                    value=1.0,
                     step=0.1,
                 )
                 steps = gr.Slider(
@@ -133,7 +133,7 @@ with block:
     with gr.Row():
         image_gallery = gr.Gallery(
             label="Output", show_label=False, elem_id="gallery"
-        ).style(grid=1, height="auto")
+        )
 
     ips = [
         input_image,
@@ -148,3 +148,5 @@ with block:
         seed,
     ]
     run_button.click(fn=generate, inputs=ips, outputs=[image_gallery])
+
+block.launch(server_name='0.0.0.0')

requirements.txt

@@ -1,8 +1,4 @@
---extra-index-url https://download.pytorch.org/whl/cu121
-torch==2.1.0
 torchvision
-torchaudio
-
 transformers
 diffusers
 opencv-python-headless