Update app.py

app.py

@@ -9,7 +9,7 @@ from PIL import Image
 import itertools
 device = 1 if torch.cuda.is_available() else "cpu"
 
-chk_point = "./autotrain-diffusion-emotion-facial-expression-recognition-40429105176"
+chk_point = "kdhht2334/autotrain-diffusion-emotion-facial-expression-recognition-40429105176"
 
 model = AutoModelForImageClassification.from_pretrained(chk_point)
 
@@ -148,4 +148,4 @@ gr.Interface(
     outputs=["image", "label"],
     examples=[["examples/9_peoples.jpg"], ["examples/sad.jpg"], ["examples/angry.jpg"], ["examples/surprise.jpg"]],
     title="FER trained on DiffusionFER dataset...",
-).launch(share=True)
+).launch()