Update src/app_job_copy_1.py

src/app_job_copy_1.py

@@ -247,7 +247,7 @@ def process_candidates_for_job(job_row, candidates_df, llm_chain=None):
         "Locations": job_row.get("Locations", ""), "Tech_Stack": job_row["Tech Stack"], "Industry": job_row.get("Industry", "")
     }
     
-    with st.spinner("Finding matching candidates based on tech stack..."):
+    with st.spinner("Sourcing candidates based on tech stack..."):
         matching_candidates = get_matching_candidates(job_row["Tech Stack"], candidates_df)
     
     if not matching_candidates:
@@ -363,7 +363,7 @@ def main():
         
         with st.expander("Preview uploaded data"):
             st.subheader("Jobs Data Preview"); st.dataframe(jobs_df.head(3))
-            st.subheader("Candidates Data Preview"); st.dataframe(candidates_df.head(3))
+            # st.subheader("Candidates Data Preview"); st.dataframe(candidates_df.head(3))
         
         # Column mapping (simplified, ensure your CSVs have these exact names or adjust)
         # candidates_df = candidates_df.rename(columns={...}) # Add if needed
@@ -375,7 +375,7 @@ def main():
     st.divider()
     
 def display_job_selection(jobs_df, candidates_df, sh): # 'sh' is the Google Sheets client
-    st.subheader("Select a job to view potential matches")
+    st.subheader("Select a job to Source for potential matches")
     job_options = [f"{row['Role']} at {row['Company']}" for _, row in jobs_df.iterrows()]
     
     if not job_options:
@@ -444,7 +444,7 @@ def display_job_selection(jobs_df, candidates_df, sh): # 'sh' is the Google Shee
 
     # --- Actual Processing Logic ---
     if st.session_state.get(job_is_processing_key, False):
-        with st.spinner(f"Processing candidates for {job_row['Role']} at {job_row['Company']}..."):
+        with st.spinner(f"Sourcing candidates for {job_row['Role']} at {job_row['Company']}..."):
             # Assuming process_candidates_for_job is defined and handles stop_processing_flag
             processed_candidates_list = process_candidates_for_job(
                 job_row, candidates_df, st.session_state.llm_chain # Assuming llm_chain from session_state