Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from deepface import DeepFace
 import tempfile
 import os
-import json
+import traceback
 
 def analyze_image(image):
     try:
@@ -11,28 +11,30 @@ def analyze_image(image):
             image.save(temp_file.name)
             temp_path = temp_file.name
 
-        # Run DeepFace analysis
+        # Run analysis
         result = DeepFace.analyze(
             img_path=temp_path,
-            actions=["gender", "emotion"],
+            actions=["emotion", "gender"],
             enforce_detection=False
-        )
+        )[0]
 
-        os.remove(temp_path)  # clean up
+        os.remove(temp_path)
 
-        # Convert output to readable JSON
-        return json.dumps(result[0], indent=2)
+        emotion = result.get("dominant_emotion", "Unknown")
+        gender = result.get("dominant_gender", "Unknown")
+
+        return f"Gender: {gender}\nEmotion: {emotion}"
 
     except Exception as e:
-        return f"Error: {str(e)}"
+        tb = traceback.format_exc()
+        return f"Error occurred:\n{e}\n\nTraceback:\n{tb}"
 
-# Gradio app
 demo = gr.Interface(
     fn=analyze_image,
     inputs=gr.Image(type="pil"),
-    outputs=gr.Textbox(label="Analysis Result"),
-    title="DeepFace Analyzer",
-    description="Upload a face image. Model returns age, gender, emotion, and race."
+    outputs=gr.Textbox(label="Prediction"),
+    title="DeepFace: Emotion & Gender Detection",
+    description="Upload a clear face image. Model predicts gender and emotion."
 )
 
 demo.launch()