First update to app file

app.py

@@ -1,20 +1,4 @@
 import streamlit as st
-from transformers import pipeline
-from PIL import Image
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 
-st.title("Hot Dog? Or Not?")
-
-file_name = st.file_uploader("Upload a hot dog candidate 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)}%")
+st.markdown("Crop losses due to diseases pose a significant threat to food security worldwide. Traditional methods of disease detection are often labor-intensive and time-consuming, leading to delayed diagnosis and ineffective treatments. Leveraging deep learning techniques, this app aims to help farmers detect plant diseases and suggest remidial measures, by uploading images of the infected leaves")