Update app.py

app.py

@@ -39,10 +39,6 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
-    prompt = re.sub("girl", " feifei, A beautiful, 18 yo kpop idol, large-busted Japanese girl, with light makeup, gazing deeply into the camera, " ,prompt)
-    prompt = re.sub("young woman", " feifei, A beautiful, 18 yo kpop idol, large-busted Japanese girl, with light makeup, gazing deeply into the camera, " ,prompt)
-    prompt = re.sub("woman", " feifei, A beautiful, 18 yo kpop idol, large-busted Japanese girl, with light makeup, gazing deeply into the camera, " ,prompt)
-    prompt = re.sub("model", " feifei, A beautiful, 18 yo kpop idol, large-busted Japanese girl, with light makeup, gazing deeply into the camera, " ,prompt)
     pipe.set_adapters(
         ["feifei"],
         adapter_weights=[num_feifei],
@@ -61,10 +57,10 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
             generator = generator,
             guidance_scale=guidancescale
     ).images[0] 
-    return image, seed, prompt
+    return image, seed
  
 examples = [
-    "this photo is a girl"
+    "this photo is a kpop girl"
 ]
 
 css="""
@@ -105,15 +101,7 @@ with gr.Blocks(css=css) as demo:
             )
             
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-            with gr.Row():
-                out_prompt = gr.Text(
-                    label="Prompt",
-                    show_label=False,
-                    max_lines=12,
-                    placeholder="this photo prompt",
-                    value="",
-                    container=False,
-                )
+
             with gr.Row():
                 
                 width = gr.Slider(
@@ -171,7 +159,7 @@ with gr.Blocks(css=css) as demo:
         triggers=[run_button.click, prompt.submit],
         fn = infer,
         inputs = [prompt, seed, randomize_seed, width, height, num_inference_steps, guidancescale, num_feifei],
-        outputs = [result, seed, out_prompt]
+        outputs = [result, seed]
     )
 
 demo.launch()