Update app.py

app.py

@@ -1,6 +1,18 @@
 import gradio as gr
 from transformers import pipeline
 
+from PIL import Image
+import pandas as pd
+import numpy as np
+
+import torch
+import torch.nn as nn
+import torchvision
+from torchvision import datasets, models, transforms
+
+from torch_mtcnn import detect_faces
+from torch_mtcnn import show_bboxes
+
 # pipeline = pipeline(task="image-classification", model="njgroene/fairface")
 
 def predict(image):
@@ -9,7 +21,7 @@ def predict(image):
 
 gr.Interface(
     predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
+    inputs=gr.inputs.Image(label="Upload a profile picture of a single person", type="filepath"),
     outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
+    title="Estimate age and gender from profile picture",
 ).launch()