Update app.py

app.py

@@ -1,16 +1,44 @@
 import gradio as gr
 import requests
 import os
+import random
+
+
+
 
 name2 = "runwayml/stable-diffusion-v1-5"
-model = gr.Interface.load(f"models/{name2}")
+models=[
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+    gr.Interface.load(f"models/{name2}"),
+]
 o = os.getenv("P")
 
 def ac():
     def im_fn(put,fac="",h=None):
         if h == o:
+            rn = random.randint(0, 19)
+            model=models[rn]
             put = f"{put}{fac}"
             fac = f"{fac} "
+            print (rn)
             return model(put),fac
         elif h != o:
             return(None,None)