updated the all

app.py

@@ -39,7 +39,7 @@ def super_esr(source_image,prompt,negative_prompt,strength,seed,num_inference_st
                 controlnet_conditioning_image=condition_image, 
                 width=condition_image.size[0],
                 height=condition_image.size[1],
-                strength=1.0,
+                strength=strength,
                 generator=generator,
                 num_inference_steps=num_inference_steps,
                 ).images[0]
@@ -49,28 +49,24 @@ def super_esr(source_image,prompt,negative_prompt,strength,seed,num_inference_st
 # define and take input the same as the super_esr function
 
 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")
+    gr.Image(type="pil",label="Source Image"),
+    gr.Textbox(lines=2,label="Prompt"),
+    gr.Textbox(lines=2,label="Negative Prompt"),
+    gr.Slider(minimum=0,maximum=1,value=1.0,label="Strength"),
+    gr.Slider(minimum=-100000,maximum=100000,value=1,label="Seed"),
+    gr.Slider(minimum=0,maximum=100,value=20,label="Num Inference Steps")
 ]
 outputs=[
-    gr.outputs.Image(type="pil",label="Output Image")
+    gr.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 a queue of the requests
 
 
 
-demo=gr.Interface(fn=super_esr,inputs=inputs,outputs=outputs,title=title,description=description,examples=examples)
+demo=gr.Interface(fn=super_esr,inputs=inputs,outputs=outputs,title=title,description=description)
 
-# demo.queue(max_size=20).launch()
-demp.launch()
+demo.queue(max_size=20).launch()
+# demo.launch()