Update app.py

app.py

@@ -1,24 +1,14 @@
 import streamlit as st
 from PyPDF2 import PdfReader
 
-import streamlit as st
-import pandas as pd
-from io import StringIO
-
-uploaded_file = st.file_uploader("Choose a file")
-if uploaded_file is not None:
-    # To read file as bytes:
-    bytes_data = uploaded_file.getvalue()
-    st.write(bytes_data)
-
-    # To convert to a string based IO:
-    stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
-    st.write(stringio)
-
-    # To read file as string:
-    string_data = stringio.read()
-    st.write(string_data)
-
-    # Can be used wherever a "file-like" object is accepted:
-    dataframe = pd.read_csv(uploaded_file)
-    st.write(dataframe)
+uploaded_files = st.file_uploader(
+    "Choose a CSV file", type="pdf"
+)
+for uploaded_file in uploaded_files:
+    pdf_reader = PdfReader(uploaded_files) # read your PDF file
+    # extract the text data from your PDF file after looping through its pages with the .extract_text() method
+    text_data= ""
+    for page in pdf_reader.pages: # for loop method
+        text_data+= page.extract_text()
+    
+    st.write(text_data) # view the text data