Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+pipeline = pipeline(task="text-classification", model="adelinamart/minilm_finetuned_emotions")
 
 def predict(input_img):
     predictions = pipeline(input_img)
@@ -10,8 +10,8 @@ def predict(input_img):
 gradio_app = gr.Interface(
     predict,
     inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="Hot Dog? Or Not?",
+    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=6)],
+    title="Happy? Or Not?",
 )
 
 if __name__ == "__main__":