Update app.py

app.py

@@ -40,7 +40,7 @@ with st.sidebar:
 ''')
 
 
-txt = st.text_area("Job description", key = "text 1")
+txt = st.text_area("Paste the job description and then press Ctrl + Enter", key = "text 1")
 job = pd.Series(txt, name="Text")
 
 
@@ -51,7 +51,7 @@ max_attempts = 3
 
 if st.session_state['upload_count'] < max_attempts:
     uploaded_files = st.file_uploader(
-        "Choose a PDF file", accept_multiple_files=True, type="pdf", key="candidate 1"
+        "Upload your resume in .pdf format", accept_multiple_files=True, type="pdf", key="candidate 1"
     )
 
 if uploaded_files:
@@ -74,34 +74,32 @@ for uploaded_file in uploaded_files:
         df = pd.DataFrame(entities)
         
 
-        import plotly.express as px
+        
         fig = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
                 values='score', color='label')
         fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-        st.plotly_chart(fig)
+        st.plotly_chart(fig, key = "figure 1")
        
             
         
         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:")
-        
-        
+    
         cosine_sim_matrix = cosine_similarity(tfidf_matrix)
         cosine_sim_df = pd.DataFrame(cosine_sim_matrix)
         
 
         
         
-        fig = px.imshow(cosine_sim_df, text_auto=True, labels=dict(x="Cosine similarity", y="Text", color="Productivity"),
-                        x=['text1', 'Jon Description'],
-                        y=['text1', 'Job Description'])
-        st.plotly_chart(fig)
+        fig = px.imshow(cosine_sim_df, text_auto=True, labels=dict(x="Keyword similarity", y="Resumes", color="Productivity"),
+                        x=['Resume 1', 'Jon Description'],
+                        y=['Resume 1', 'Job Description'])
+        st.plotly_chart(fig, key = "figure 2")
 
-        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.write(f"Similarity with Candidate Profile. A score closer to 1 means higher similarity. {i + 1}: {similarity_score:.4f}")
 
 else:
     st.warning(f"You have reached the maximum URL attempts ({max_attempts}).")
@@ -109,3 +107,15 @@ else:
 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).")
 
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