Update app.py

app.py

@@ -305,7 +305,6 @@ def generate_30(
         sd_image[0].save(filename,optimize=False,compress_level=0)
         upload_to_ftp(filename)
         uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
-        image_paths = save_image(sd_image)
         torch.setfloat32_matmul_precision("medium")
         with torch.no_grad():
             upscale = upscaler(sd_image, tiling=True, tile_width=256, tile_height=256)
@@ -361,7 +360,6 @@ def generate_60(
         sd_image[0].save(filename,optimize=False,compress_level=0)
         upload_to_ftp(filename)
         uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
-        image_paths = save_image(sd_image)
         torch.setfloat32_matmul_precision("medium")
         with torch.no_grad():
             upscale = upscaler(sd_image, tiling=True, tile_width=256, tile_height=256)
@@ -417,7 +415,6 @@ def generate_90(
         sd_image[0].save(filename,optimize=False,compress_level=0)
         upload_to_ftp(filename)
         uploadNote(prompt,num_inference_steps,guidance_scale,timestamp)
-        image_paths = save_image(sd_image)
         torch.setfloat32_matmul_precision("medium")
         with torch.no_grad():
             upscale = upscaler(sd_image, tiling=True, tile_width=256, tile_height=256)
@@ -468,13 +465,13 @@ with gr.Blocks(theme=gr.themes.Origin(),css=css) as demo:
             placeholder="Enter your prompt",
             container=False,
         )
-        latent_file = gr.File(label="Image File (Required)")
         run_button_30 = gr.Button("Run 30 Seconds", scale=0)
         run_button_60 = gr.Button("Run 60 Seconds", scale=0)
         run_button_90 = gr.Button("Run 90 Seconds", scale=0)
     result = gr.Gallery(label="Result", columns=1, show_label=False) 
 
     with gr.Row():
+        latent_file = gr.Image(label="Image Prompt (Required)", interactive=True)
         style_selection = gr.Radio(
             show_label=True,
             container=True,