done

app.py

@@ -20,11 +20,11 @@ upscale_class=Upscale_CaseCade()
 # url = "https://cdn.discordapp.com/attachments/1121232062708457508/1205110687538479145/A_photograph_of_a_sunflower_with_sunglasses_on_in__3.jpg?ex=65d72dc9&is=65c4b8c9&hm=72172e774ce6cda618503b3778b844de05cd1208b61e185d8418db512fb2858a&"
 # image_pil=Image.open("/home/rnd/Documents/Ameer/StableCascade/poster.png").convert("RGB")
 @spaces.GPU
-def scale_image(image_pil,scale_factor):
-    og,ups=upscale_class.upscale_image(image_pil=image_pil.convert("RGB"),scale_fator=scale_factor)
+def scale_image(caption,image_pil,scale_factor):
+    upscale=upscale_class.upscale_image(caption=caption,image_pil=image_pil.convert("RGB"),scale_fator=scale_factor)
     current_date_time = datetime.datetime.now()
     print("Current Date and Time:", current_date_time)
-    return [ups]
+    return [upscale]
 DESCRIPTION = "# Stable Cascade -> Super Resolution"
 DESCRIPTION += "\n<p style=\"text-align: center\">Unofficial demo for Cascade-Super Resolution  <a href='https://huggingface.co/stabilityai/stable-cascade' target='_blank'>Stable Upscale Cascade</a>, a new high resolution image-to-image model by Stability AI, - <a href='https://huggingface.co/stabilityai/stable-cascade/blob/main/LICENSE' target='_blank'>non-commercial research license</a></p>"
 # block = gr.Blocks(css="footer {visibility: hidden}", theme='freddyaboulton/dracula_revamped').queue()
@@ -36,14 +36,14 @@ with block:
     with gr.Tabs():
         with gr.Row():
             with gr.Column():
+                caption = gr.Textbox(label="caption")
                 image_pil = gr.Image(label="Describe the Image", type='pil')
                 scale_factor = gr.Slider(minimum=1,maximum=10,value=1, step=1, label="Scale Factor")
                 generate_button = gr.Button("Upscale Image")
             with gr.Column():
                 generated_image = gr.Gallery(label="Generated Image",)
 
-        generate_button.click(fn=scale_image, inputs=[image_pil,scale_factor], outputs=[generated_image])
+        generate_button.click(fn=scale_image, inputs=[caption,image_pil,scale_factor], outputs=[generated_image])
 
 block.queue(max_size=20).launch()
-
 # pip install gradio==4.16.0 gradio_client==0.8.1