Update app.py

app.py

@@ -1,3 +1,23 @@
-import gradio as gr
+import streamlit as st
+from transformers import pipeline
+from PIL import Image
 
-gr.Interface.load("models/Hrishikesh332/autotrain-meme-classification-42897109437").launch()
+def load_image(img):
+    im=Image.open(img)
+    return im
+size=20
+
+st.markdown("<h1 style='text-align: center;'>Memeter 💬</h1>", unsafe_allow_html=True)
+st.markdown("---")
+with st.sidebar:
+    st.title("Memometer")
+    st.caption('''
+    Memeter is an application used for the classification of whether the images provided is meme or not meme
+    ''', unsafe_allow_html=False)
+
+img = st.file_uploader("Choose a Image:")
+if img is not None:
+    # To read file as bytes:
+    bytes_data = img.getvalue()
+    st.write(bytes_data)
+    st.write(img)