Update app.py

app.py

@@ -3,6 +3,7 @@ import transformers
 from transformers import pipeline
 import PIL
 from PIL import Image
+import requests
 
 pipe = pipeline("summarization", model="google/pegasus-xsum")
 agepipe = pipeline("image-classification", model="dima806/facial_age_image_detection")
@@ -12,7 +13,7 @@ imgpipe = pipeline("zero-shot-image-classification", model="google/siglip-so400m
 st.title("NLP APP")
 option = st.sidebar.selectbox(
     "Choose a task",
-    ("Summarization", "Age Detection", "Emotion Detection", "Object Detection")
+    ("Summarization", "Age Detection", "Emotion Detection", "Image Classification")
 )
 if option == "Summarization":
     st.title("Text Summarization")
@@ -31,7 +32,7 @@ elif option == "Age Detection":
         Image=Image.open(uploaded_files)
 
         st.write(agepipe(Image)[0]["label"])
-elif option == "Object Detection":
+elif option == "Image Classification":
     st.title("Welcome to object detection")
 
     uploaded_files = st.file_uploader("Choose a image file",type=["jpg","jpeg"])