Update app.py

app.py

@@ -37,8 +37,7 @@ def get_url_im(t):
     return Image.open(BytesIO(response.content))
 
 @torch.no_grad()
-def get_im_c(im_path, clip_model):
-    im = Image.open(im_path).convert("RGB")
+def get_im_c(im, clip_model):
     prompts = preprocess(im).to(device).unsqueeze(0)
     return clip_model.encode_image(prompts).float()
 
@@ -120,15 +119,19 @@ def run(args):
 import gradio
 
 def my_inference_function(person):
-    ex = [
+    inputs = [
         "Image", "Image", "Text/URL", "Nothing", "Nothing",
-        "","","central symmetric figure detailed artwork","","",
-        "gainsborough.jpeg","blonder.jpeg","blonder.jpeg","blonder.jpeg","blonder.jpeg",
-        1,1.35,1.4,1,1,
-        3.0, 1, 0, 30,
+        "","","flowers","","",
+        Image.open("ex2-1.jpeg.jpeg").convert("RGB"),
+        Image.open("ex2-2.jpeg").convert("RGB"),
+        Image.open("blonder.jpeg").convert("RGB"),
+        person,
+        Image.open("blonder.jpeg").convert("RGB"),
+        1,1,1.5,1.4,1,
+        3.0, 1, 0, 40,
     ]
     
-    return person
+    return run(inputs)
 
 gradio_interface = gradio.Interface(
     fn=my_inference_function,