Update app.py

app.py

@@ -105,15 +105,15 @@ for i in range(1, 51):  # Looping for 2 applicants
 st.divider()
 
 
-st.subheader("Visualise Applicant's Profile", divider="blue")
+st.subheader("Visualise", divider="blue")
 if 'upload_count' not in st.session_state:
     st.session_state['upload_count'] = 0
     
 max_attempts = 3
 if st.session_state['upload_count'] < max_attempts:
     uploaded_files = st.file_uploader("Upload Applicant's resume", type="pdf", key = "applicant 1")
-if uploaded_files:
-    st.session_state['upload_count'] += 1
+    if uploaded_files:
+        st.session_state['upload_count'] += 1
 
     with st.spinner("Wait for it...", show_time=True):
         time.sleep(2)
@@ -133,34 +133,7 @@ if uploaded_files:
                              values='score', color='label')
             fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
             st.plotly_chart(fig, key = "figure 1")
-else:
-    st.warning(f"You have reached the maximum upload attempts ({max_attempts}).")
-    if 'upload_count' in st.session_state and st.session_state['upload_count'] > 0:
-        st.info(f"Files uploaded {st.session_state['upload_count']} time(s).")
 
-
-
-
-st.subheader("Visualise Similarity", divider="blue")
-if 'upload_count' not in st.session_state:
-    st.session_state['upload_count'] = 0
-max_attempts = 3
-if st.session_state['upload_count'] < max_attempts:
-    uploaded_files = st.file_uploader("Upload Applicant's resume", type="pdf", key = "applicant 2")
-if uploaded_files:
-    st.session_state['upload_count'] += 1
-
-    with st.spinner("Wait for it...", show_time=True):
-        time.sleep(2)
-        pdf_reader = PdfReader(uploaded_files)
-        text_data = ""
-        for page in pdf_reader.pages:
-            text_data += page.extract_text()
-            
-            data = pd.Series(text_data, name='Text')
-            frames = [job, data]
-            result = pd.concat(frames)
-                
             vectorizer = TfidfVectorizer()
             tfidf_matrix = vectorizer.fit_transform(result)
             tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
@@ -173,13 +146,15 @@ if uploaded_files:
                             x=['Resume', 'Jon Description'],
                             y=['Resume', 'Job Description'])
             st.plotly_chart(fig, key="figure 2")
-
- 
 else:
     st.warning(f"You have reached the maximum upload attempts ({max_attempts}).")
     if 'upload_count' in st.session_state and st.session_state['upload_count'] > 0:
         st.info(f"Files uploaded {st.session_state['upload_count']} time(s).")
-        
+
+
+
+
+