Update app.py

app.py

@@ -20,10 +20,10 @@ ckpt = hf_hub_download(repo_id="lambdalabs/image-mixer", filename="image-mixer-p
 config = hf_hub_download(repo_id="lambdalabs/image-mixer", filename="image-mixer-config.yaml", cache_dir="/data/.cache")
 
 device = "cuda:0"
-model = load_model_from_config(config, ckpt, device=device, verbose=False)
-model = model.to(device).half()
+#model = load_model_from_config(config, ckpt, device=device, verbose=False)
+#model = model.to(device).half()
 
-clip_model, preprocess = clip.load("ViT-L/14", device=device)
+#clip_model, preprocess = clip.load("ViT-L/14", device=device)
 
 n_inputs = 5
 
@@ -118,7 +118,7 @@ def run(args):
 
 import gradio
 
-def my_inference_function(bouts, person):
+def my_inference_function(person):
     ex = [
         "Image", "Image", "Text/URL", "Nothing", "Nothing",
         "","","central symmetric figure detailed artwork","","",
@@ -127,11 +127,11 @@ def my_inference_function(bouts, person):
         3.0, 1, 0, 30,
     ]
     
-    return run(ex)
+    return person
 
 gradio_interface = gradio.Interface(
     fn=my_inference_function,
-    inputs=["text","text"],
+    inputs="image",
     outputs="image",
     title="Boutsify images",
     description="Turn portraits into a painting in the style of Flemish master Dirck Bouts",