Update app.py

app.py

@@ -7,7 +7,8 @@ pipeline = None
 # Load the pipeline and LoRA weights
 def load_cust(modelsyu):
     pipeline = DiffusionPipeline.from_pretrained(modelsyu)
-
+    output_result = pipeline()
+    return output_result
     
 def generate_image(prompt, negative_prompt):
     global pipeline
@@ -26,7 +27,8 @@ with gr.Blocks() as demo:
     with gr.Accordion('Load your custom models first'):
         basem = gr.Textbox(label="Your Lora model")  
         exports = gr.Button("Load your models")
-        exports.click(load_cust, inputs=[basem], outputs=[])
+        outputid = gr.Textbox(label="output", interactive=False)
+        exports.click(load_cust, inputs=[basem], outputs=[outputid])
     output_image = gr.Image(label="Generated Image")
     submit_button.click(generate_image, inputs=[prompt, negative_prompt], outputs=output_image)