Update app.py

app.py

@@ -32,7 +32,7 @@ source_image = load_image('https://huggingface.co/lllyasviel/control_v11f1e_sd15
 def super_esr(source_image,prompt,negative_prompt,strength,seed,num_inference_steps):
     condition_image = resize_for_condition_image(source_image, 1024)
     image = pipe(prompt=prompt,#"best quality", 
-                negative_prompt=negative_prompt,#"blur, lowres, bad anatomy, bad hands, cropped, worst quality", 
+                negative_prompt="blur, lowres, bad anatomy, bad hands, cropped, worst quality", 
                 image=condition_image, 
                 controlnet_conditioning_image=condition_image, 
                 width=condition_image.size[0],
@@ -45,24 +45,23 @@ def super_esr(source_image,prompt,negative_prompt,strength,seed,num_inference_st
     return source_image
 
 #define laund take input nsame as super_esr function
-def launch():
-    inputs=[
-        gr.inputs.Image(type="pil",label="Source Image"),
-        gr.inputs.Textbox(lines=2,label="Prompt"),
-        gr.inputs.Textbox(lines=2,label="Negative Prompt"),
-        gr.inputs.Slider(minimum=0,maximum=1,label="Strength"),
-        gr.inputs.Slider(minimum=0,maximum=100,label="Seed"),
-        gr.inputs.Slider(minimum=0,maximum=100,label="Num Inference Steps")
-    ]
-    outputs=[
-        gr.outputs.Image(type="pil",label="Output Image")
-    ]
-    title="Super ESR"
-    description="Super ESR is a super resolution model that uses diffusion to generate high resolution images from low resolution images"
-    examples=[
-        ["https://i.imgur.com/9IqyX1F.png","best quality","blur, lowres, bad anatomy, bad hands, cropped, worst quality",1.0,0,100],
-        ["https://i.imgur.com/9IqyX1F.png","best quality","blur, lowres, bad anatomy, bad hands, cropped, worst quality",1.0,0,100],
-    ]
-    gr.Interface(fn=super_esr,inputs=inputs,outputs=outputs,title=title,description=description,examples=examples).launch(share=True)
 
-launch()
+inputs=[
+    gr.inputs.Image(type="pil",label="Source Image"),
+    gr.inputs.Textbox(lines=2,label="Prompt"),
+    gr.inputs.Textbox(lines=2,label="Negative Prompt"),
+    gr.inputs.Slider(minimum=0,maximum=1,label="Strength"),
+    gr.inputs.Slider(minimum=0,maximum=100,label="Seed"),
+    gr.inputs.Slider(minimum=0,maximum=100,label="Num Inference Steps")
+]
+outputs=[
+    gr.outputs.Image(type="pil",label="Output Image")
+]
+title="Super ESR"
+description="Super ESR is a super resolution model that uses diffusion to generate high resolution images from low resolution images"
+examples=[
+    ["https://i.imgur.com/9IqyX1F.png","best quality","blur, lowres, bad anatomy, bad hands, cropped, worst quality",1.0,0,100],
+    ["https://i.imgur.com/9IqyX1F.png","best quality","blur, lowres, bad anatomy, bad hands, cropped, worst quality",1.0,0,100],
+]
+#create queue the rerquests
+gr.Interface(fn=super_esr,inputs=inputs,outputs=outputs,title=title,description=description,examples=examples).launch()