added app.py file

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+from deepface import DeepFace
+
+# Function to analyze face
+def analyze_face(image):
+    try:
+        results = DeepFace.analyze(
+            img_path = image,
+            actions = ['emotion'],
+            detector_backend = 'retinaface',  # more accurate than opencv
+            enforce_detection = False
+        )
+
+        if results is None or len(results) == 0:
+            return "Not a Face"
+
+        outputs = []
+        for i, face in enumerate(results):
+            emotion = face['dominant_emotion']
+            outputs.append(f"Face {i+1}: {emotion.capitalize()}")
+
+        return "\n".join(outputs)
+
+    except Exception as e:
+        return "Not a Face"
+
+# Gradio UI
+iface = gr.Interface(
+    fn = analyze_face,
+    inputs = [
+        gr.Image(type="filepath", label="Upload or Capture Image")
+    ],
+    outputs = [
+        gr.Textbox(label="Prediction")
+    ],
+    title = "DeepFace Emotion Detector",
+    description = "Upload an image or take a photo. The app detects if a face is present, then predicts the dominant emotion. If no face is detected, it returns 'Not a Face'."
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)