Update app.py

app.py

@@ -1,9 +1,19 @@
 import gradio as gr
 import requests
 import os
+import gradio as gr
+from transformers import pipeline
+
+
+
 
 name = "andite/anything-v4.0"
 model = gr.Interface.load(f"models/{name}")
+
+pipe = pipeline(model=f"models/{name}")
+pi = gr.Interface.from_pipeline(pipe)
+
+
 o = os.getenv("P")
 h = "Q"
 def ac():
@@ -12,10 +22,27 @@ def ac():
             return model(put,negative_prompt = "blury")
         elif h != o:
             return(None)
+    def im_pipe(put):
+        return pi(put,negative_prompt = 'blury')
+        '''           
+        num_images_per_prompt=n_images,
+        num_inference_steps = int(steps),
+        guidance_scale = guidance,
+        width = width,
+        height = height,
+        generator = generator,
+        callback=pipe_callback)
+        '''
     with gr.Blocks() as b:
         put = gr.Textbox()
-        out = gr.Image()
-        btn = gr.Button()
-        btn.click(im_fn,put,out)
+        with gr.Row():
+            out1 = gr.Image()
+            out2 = gr.Image()
+        with gr.Row():
+            btn1 = gr.Button()
+            btn2 = gr.Button()
+        btn1.click(im_fn,put,out1)
+        btn2.click(im_pipe,put,out2)
+
     b.queue(concurrency_count=100).launch()
 ac()