Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+from deepface import DeepFace
+import tempfile
+import os
+import traceback
+
+def analyze_image(image):
+    try:
+        # Save image to temp file
+        with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_file:
+            image.save(temp_file.name)
+            temp_path = temp_file.name
+
+        # Run analysis
+        result = DeepFace.analyze(
+            img_path=temp_path,
+            actions=["emotion", "gender"],
+            enforce_detection=False
+        )[0]
+
+        os.remove(temp_path)
+
+        emotion = result.get("dominant_emotion", "Unknown")
+        gender = result.get("dominant_gender", "Unknown")
+
+        return f"Gender: {gender}\nEmotion: {emotion}"
+
+    except Exception as e:
+        tb = traceback.format_exc()
+        return f"Error occurred:\n{e}\n\nTraceback:\n{tb}"
+
+demo = gr.Interface(
+    fn=analyze_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Textbox(label="Prediction"),
+    title="DeepFace: Emotion & Gender Detection",
+    description="Upload a clear face image. Model predicts gender and emotion."
+)
+
+demo.launch()