Update src/app_job_copy_1.py

src/app_job_copy_1.py

@@ -215,7 +215,7 @@ def call_llm(candidate_data, job_data, llm_chain):
         response = llm_chain.invoke(payload)
         # print(candidate_data.get("Experience", "")) # Kept for your debugging if needed
 
-        response_str = f"candidate_name: {response.candidate_name} ... fit_score: {float(f'{response.fit_score:.3f}')} ..." # Truncated
+        response_str = f"candidate_name: {response.candidate_name} URL:{response.candidate_url} summ:{response.candidate_summary} loc: {response.candidate_location} just {response.justification} fit_score: {float(f'{response.fit_score:.3f}')}." # Truncated
         output_tokens = calculate_tokens(response_str, st.session_state.model_name)
         
         if 'total_input_tokens' not in st.session_state: st.session_state.total_input_tokens = 0