Update app.py

app.py

@@ -1,23 +1,35 @@
 import streamlit as st
 from transformers import pipeline
 from PIL import Image
+import face_recognition
+import cv2
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+st.title("AIMLJan24 - Face Recognition")
 
-st.title("AIMLJan24 First App on Hugging face - Hot Dog? Or Not?")
-
-file_name = st.file_uploader("Upload the test image to find is this hot dog ! ")
+file_name = st.camera_input("Take a picture")  #st.file_uploader("Upload image  ")
 
 if file_name is not None:
     col1, col2 = st.columns(2)
 
     image = Image.open(file_name)
     col1.image(image, use_column_width=True)
-    predictions = pipeline(image)
 
-    col2.header("Probabilities")
-    for p in predictions:
-        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
+# pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+# st.title("AIMLJan24 First App on Hugging face - Hot Dog? Or Not?")
+
+# file_name = st.file_uploader("Upload the test image to find is this hot dog ! ")
+
+# if file_name is not None:
+#     col1, col2 = st.columns(2)
+
+#     image = Image.open(file_name)
+#     col1.image(image, use_column_width=True)
+#     predictions = pipeline(image)
+
+#     col2.header("Probabilities")
+#     for p in predictions:
+#         col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
 
 
 # # my first app