Update app.py

app.py

@@ -2,12 +2,17 @@ import gradio as gr
 from deepface import DeepFace
 from PIL import Image
 import numpy as np
+import base64
 
-# Example images for testing
-example_images = [
-    "https://i.imgur.com/kZrw9B0.jpeg",  # Example Image 1
-    "https://i.imgur.com/AKgF4Xs.jpeg"   # Example Image 2
-]
+# Function to encode images in base64
+def encode_image(image_path):
+    with open(image_path, "rb") as image_file:
+        encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
+    return f"data:image/jpeg;base64,{encoded_string}"
+
+# Example images as base64 strings (You need to download the images first)
+example_image_1 = encode_image("e.jpeg")  # Replace with your local image path
+example_image_2 = encode_image("k.jpeg")  # Replace with your local image path
 
 # Analyze the uploaded image
 def analyze_face(image):
@@ -33,8 +38,8 @@ iface = gr.Interface(
              gr.Text(label="Race"), 
              gr.Text(label="Dominant Emotion"),
              gr.Text(label="Emotion Breakdown")],
-    examples=example_images  # Adding example images to the interface
+    examples=[[example_image_1], [example_image_2]]  # Adding example images
 )
 
 # Launch the Gradio app
-iface.launch()
+iface.launch()