Update app.py

app.py

@@ -17,6 +17,7 @@ os.environ["TOKENIZERS_PARALLELISM"] = "false"
 #os.system('conda install -c conda-forge poppler')
 import streamlit as st
 st.set_page_config(page_title="Summarization Tool", layout="wide", initial_sidebar_state="expanded")
+st.title("Bangla and English Summarizer: Upload Images/Pdf or input texts to summarize!")
 import torch
 import docx2txt
 from PIL import Image 
@@ -33,7 +34,6 @@ import line_cor
 import altair as alt
 #pytesseract.pytesseract.tesseract_cmd = r"./Tesseract-OCR/tesseract.exe"
 from PIL import Image
-st.title("Bangla and English Summarizer: Upload Images/Pdf or input texts to summarize!")
 API_URL0 = "https://api-inference.huggingface.co/models/csebuetnlp/mT5_multilingual_XLSum"
 headers0 = {"Authorization": "Bearer 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"}
 API_URL1 = "https://api-inference.huggingface.co/models/Michael-Vptn/text-summarization-t5-base"
@@ -83,7 +83,6 @@ def bansum(text):
        text_output = out[0]["summary_text"]
        st.success(text_output) 
     
-""" NLP Based Application with Streamlit """
 if "photo" not in st.session_state:
     st.session_state["photo"]="not done"
 c2, c3 = st.columns([2.5,1])