Update app.py

app.py

@@ -1,20 +1,24 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load emotion model from Hugging Face
+# Load emotion detection model
 emotion_pipe = pipeline("image-classification", model="dima806/facial_emotions_image_detection")
 
 def detect_emotion(image):
     results = emotion_pipe(image)
     if results:
         top = results[0]
-        return f"{top['label']} ({100*top['score']:.1f}%)"
-    return "No face detected"
+        return {
+            "top_prediction": f"{top['label']} ({100*top['score']:.1f}%)",
+            "all_predictions": results
+        }
+    return {"top_prediction": "No face detected", "all_predictions": []}
 
+# Create Gradio interface
 gr.Interface(
     fn=detect_emotion,
     inputs=gr.Image(type="pil"),
-    outputs="text",
+    outputs="json",  # Changed from "text" to "json"
     title="High Accuracy Emotion Detector",
     description="Powered by dima806/facial_emotions_image_detection (~91% accurate)"
 ).launch()