try converting to numpy

app.py

@@ -2,25 +2,32 @@ from asyncio import constants
 import gradio as gr
 import requests
 import os 
+from base64 import b64decode
+from PIL import Image
+
 
 
 def generate_image(seed,psi):
   iface = gr.Interface.load("spaces/hysts/StyleGAN-Human")
   print("about to die",iface,dir(iface))
   print(iface.blocks,iface.children,iface.fns)
-  img=iface.fns[1].fn(seed,psi)
-
+  img=iface.fns[0].fn(seed,psi)
+  
+  #wrong format, gah! convert to numpy array
+  header, encoded = img.split(",", 1)
+  data = b64decode(encoded)
+  image = Image.open("out.jpg")
+  image_np = np.array(image)
+  
   print('got img',img)
 
-  return img
+  return image_np
 
 def generate_model(img):
-    d
+    iface = gr.Interface.load("spaces/nagolinc/styleGanHuman_and_PIFu")
     model,file=iface(img)
     return model,file
 
-def foo(seed,psi):
-    return img
 
 demo = gr.Blocks()