Update app.py

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+from transformers import AutoFeatureExtractor, AutoModelForImageClassification
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+extractor = AutoFeatureExtractor.from_pretrained("kdhht2334/autotrain-diffusion-emotion-facial-expression-recognition-40429105176")
+fer_model = AutoModelForImageClassification.from_pretrained("kdhht2334/autotrain-diffusion-emotion-facial-expression-recognition-40429105176")
+
+pipe = pipeline(task="image-classification", 
+                # model that can do 7-emotion classification
+                model=fer_model)
+gr.Interface.from_pipeline(pipe, 
+                           title="7-emotion classification in DiffusionFER dataset",
+                           description="Facial expression recognition trained with Transformer,
+                           examples = ['happy.png', 'angry.png',],
+                           article = "Author: <a href=\"https://huggingface.co/FER-Universe\">Daeha Kim</a>",
+                           ).launch()