Update app.py

app.py

@@ -62,9 +62,10 @@ def extract_skills(text, skills_keywords):
 def preprocess_text(text):
     return word_tokenize(text.lower())
 
-
-
-
+@st.cache_data  
+def load_data(results):
+    df = pd.DataFrame(results)
+    return df
 
 def train_doc2vec_model(documents):
     model = Doc2Vec(vector_size=20, min_count=2, epochs=50)
@@ -86,10 +87,6 @@ def accuracy_calculation(true_positives, false_positives, false_negatives):
     return accuracy
 
 
-
-
-
-
 # Streamlit Frontend
 st.markdown("# Resume Matching Tool 📃📃")
 st.markdown("An application to match resumes with a job description.")
@@ -217,14 +214,12 @@ if resumes_files:
         st.write(f"Job Skills: {job_skills}")
 
         # Display individual results in a table
-        results_df = pd.DataFrame(results_list)
+        results_df =load_data(results_list) 
         st.subheader("Individual Results")
         st.dataframe(results_df)
         tagged_resumes = [TaggedDocument(words=preprocess_text(
             text), tags=[str(i)]) for i, text in enumerate(resumes_texts)]
         model_resumes = train_doc2vec_model(tagged_resumes)
-
-
         
         st.subheader("\nHeatmap:")