Update app.py

app.py

@@ -3,13 +3,13 @@ from transformers import pipeline
 
 pipeline = pipeline(task="text-classification", model="adelinamart/minilm_finetuned_emotions")
 
-def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
+def predict(input):
+    predictions = pipeline(input)
+    return input, {p["label"]: p["score"] for p in predictions} 
 
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
+    inputs=gr.Image(label="Select info", sources=['upload', 'webcam'], type="pil"),
     outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=6)],
     title="Happy? Or Not?",
 )