Update app.py

app.py

@@ -2,6 +2,8 @@ import streamlit as st
 from PyPDF2 import PdfReader
 import pandas as pd
 from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.metrics.pairwise import cosine_similarity
 
 uploaded_files = st.file_uploader(
     "Choose a CSV file", accept_multiple_files=True
@@ -14,17 +16,14 @@ for uploaded_file in uploaded_files:
         text_data+= page.extract_text()
 
     
-    data = pd.Series(text_data, index = ["Resume"])
-    
-    st.dataframe(data) # view the text data
-
-    from sklearn.feature_extraction.text import TfidfVectorizer
-    from sklearn.metrics.pairwise import cosine_similarity
-    vec = TfidfVectorizer()
-    tf_idf = vec.fit_transform(data[["Resume"]])
-    st.dataframe(pd.DataFrame(tf_idf.toarray(), columns=vec.get_feature_names_out()))
-    cosine_sim = cosine_similarity(tf_idf, tf_idf)
-    st.write(cosine_sim)
+    for text in text_data:
+        data = pd.Series(text, index = ["Resume"])
+        st.dataframe(data) # view the text data
+        vec = TfidfVectorizer()
+        tf_idf = vec.fit_transform(data[["Resume"]])
+        st.dataframe(pd.DataFrame(tf_idf.toarray(), columns=vec.get_feature_names_out()))
+        cosine_sim = cosine_similarity(tf_idf, tf_idf)
+        st.write(cosine_sim)