Update app.py

app.py

@@ -25,7 +25,7 @@ import os
 #os.system('gunzip ben.traineddata.gz ')
 #os.system('sudo mv -v ben.traineddata /usr/local/share/tessdata/')
 #os.system('pip install -q pytesseract')
-os.system('conda install -c conda-forge poppler')
+#os.system('conda install -c conda-forge poppler')
 import streamlit as st
 import torch
 from transformers import AutoTokenizer, AutoModelWithLMHead, GPT2LMHeadModel
@@ -123,7 +123,7 @@ def main():
     if "photo" not in st.session_state:
         st.session_state["photo"]="not done"
     if st.session_state["photo"]=="done" or message:
-        #text=""
+        text=" "
         if uploaded_photo.type=='application/pdf':
             #file = uploaded_photo.read() # Read the data
             #image_result = open(uploaded_photo.name, 'wb') # creates a writable image and later we can write the decoded result