Update app.py

app.py

@@ -45,25 +45,20 @@ for uploaded_file in uploaded_files:
 
         result = result1['Text'].drop_duplicates().to_list()
         st.dataframe(result)
-
-
-
-vectorizer = TfidfVectorizer()
-tfidf_matrix = vectorizer.fit_transform(result)
-
-tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
-st.subheader("TF-IDF Values:")
-st.dataframe(tfidf_df)
-
-cosine_sim_matrix = cosine_similarity(tfidf_matrix)
-cosine_sim_df = pd.DataFrame(cosine_sim_matrix)
-st.subheader("Cosine Similarity Matrix:")
-st.dataframe(cosine_sim_df)
-
         
-st.subheader("Cosine Similarity Scores (Job Description vs. Resumes):")
-for i, similarity_score in enumerate(cosine_sim_matrix[0][1:]):
-    st.write(f"Similarity with Candidate Profile {i + 1}: {similarity_score:.4f}")
+        vectorizer = TfidfVectorizer()
+        tfidf_matrix = vectorizer.fit_transform(result)
+        tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
+        st.subheader("TF-IDF Values:")
+        st.dataframe(tfidf_df)
+        cosine_sim_matrix = cosine_similarity(tfidf_matrix)
+        cosine_sim_df = pd.DataFrame(cosine_sim_matrix)
+        st.subheader("Cosine Similarity Matrix:")
+        st.dataframe(cosine_sim_df)
+
+        st.subheader("Cosine Similarity Scores (Job Description vs. Resumes):")
+        for i, similarity_score in enumerate(cosine_sim_matrix[0][1:]):
+            st.write(f"Similarity with Candidate Profile {i + 1}: {similarity_score:.4f}")
 
     
 st.divider()