Update app.py

app.py

@@ -44,7 +44,7 @@ async def gen(prompt, basemodel, width, height, scales, steps, seed, upscale_fac
     model = enable_lora(lora_model, basemodel) if process_lora else basemodel
     image, seed = await generate_image(prompt, model, "", width, height, scales, steps, seed)
     if image is None:
-        return [None, None]
+        return [None, None, None]
     
     image_path = "temp_image.jpg"
     image.save(image_path, format="JPEG")
@@ -54,17 +54,14 @@ async def gen(prompt, basemodel, width, height, scales, steps, seed, upscale_fac
         if upscale_image_path is not None:
             upscale_image = Image.open(upscale_image_path)
             upscale_image.save("upscale_image.jpg", format="JPEG")
-            return [image_path, "upscale_image.jpg"]
+            return [image_path, "upscale_image.jpg", seed]
         else:
             print("Error: The scaled image path is None")
-            return [image_path, image_path]
+            return [image_path, image_path, seed]
     else:
-        return [image_path, image_path]
-
-css = """
-#col-container{ margin: 0 auto; max-width: 1024px;}
-"""
+        return [image_path, image_path, seed]
 
+# Update the interface
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         with gr.Row():
@@ -86,5 +83,10 @@ with gr.Blocks(css=css) as demo:
                     seed = gr.Number(label="Seed", value=-1)
     
                 btn = gr.Button("Generate")
-                btn.click(fn=gen, inputs=[prompt, basemodel_choice, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model_choice, process_lora], outputs=output_res,)
-    demo.launch()
+                seed_output = gr.Textbox(label="Seed Value")  # Added Textbox for Seed Output
+                btn.click(
+                    fn=gen,
+                    inputs=[prompt, basemodel_choice, width, height, scales, steps, seed, upscale_factor, process_upscale, lora_model_choice, process_lora],
+                    outputs=[output_res, seed_output],  # Updated outputs to include seed
+                )
+    demo.launch()