Update app.py

app.py

@@ -140,7 +140,7 @@ def main():
 
     # Select Task
     st.sidebar.header("Select Task")
-    selection = st.sidebar.radio("Select option", ("Generate Job Adverstisment", "Resume Analysis","Resume Selection"))
+    selection = st.sidebar.radio("Select option", ("Generate Job Adverstisment", "Resume Analysis","Resume Selection",'test'))
 
     # Generate Cover Letter
     if selection == "Generate Job Adverstisment":
@@ -191,6 +191,21 @@ def main():
 
         st.subheader("Upload Resume")
         resume_file = st.file_uploader("Choose a file or drag and drop", type=["pdf"],accept_multiple_files=True)
+        if resume_file:
+        # Calculate a hash of the new file selection
+            new_file_hash = hash_inputs(str(resume_file), '', '', '')
+            if 'last_file_hash' not in st.session_state or st.session_state.last_file_hash != new_file_hash:
+                # Clear cached responses because a new file is uploaded
+                st.session_state.analysis = None
+                st.session_state.analysis_mc = None
+                st.session_state.input_hash = None
+                st.session_state.analysis_s = None
+                st.session_state.input_hash_sel = None
+                st.session_state.analysis_mc_s = None
+                st.session_state.analysis_mc_s_exp = None
+                # Update last file hash
+                st.session_state.last_file_hash = new_file_hash
+
 
         #st.header("Job Details")
         st.subheader('Job Title')
@@ -200,7 +215,7 @@ def main():
         st.subheader('Preferred Qualification')
         job_pref = st.text_area("Enter any preferred skills or qualifications here", "")
         resume_text = None
-        
+
         if selection == "Resume Analysis":
           btn1=st.button("Generate Resume Analysis")
           if btn1:
@@ -215,8 +230,10 @@ def main():
                     if st.session_state.input_hash != current_input_hash:
                         # Inputs have changed, generate new analysis
                         st.session_state.input_hash = current_input_hash
-                        prompt_template = prompts.prompt_template_modern
-                        response = generate_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
+                        #prompt_template = prompts.prompt_template_modern
+                        prompt_template = prompts.prompt_template_new
+                        response = generate_analysis_new(resume_text, job_pref, job_title_text, must_have, prompt_template)
+                        #generate_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
 
                         # Cache the result
                         st.session_state.analysis = expand(response)
@@ -251,11 +268,22 @@ def main():
                  if st.session_state.input_hash_sel != current_input_hash:
                 # Inputs have changed, generate new analysis
                     st.session_state.input_hash_sel = current_input_hash
-                    prompt_template = prompts.prompt_template_resumes_
-                    response = generate_sel_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
+                    #prompt_template = prompts.prompt_template_resumes_
+                    prompt_template = prompts.prompt_template_new
+                    response = generate_individual_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
+                    #generate_sel_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
                     print('response:',response)
-                    response_anal=max(response, key=lambda x: x['overall_match_score'])
-                    # Cache the result
+                    #response_anal=max(response, key=lambda x: x['overall_match_score'])
+                    ## Prioritize by overall_match_score, then education_certifications_score, and finally skills_keywords_score
+                    response_anal = max(
+                        response,
+                        key=lambda x: (
+                            x.get('overall_match_score', 0),
+                            x.get('education_certifications_score', 0),  # Secondary criterion
+                            x.get('skills_keywords_score', 0)  # Tertiary criterion
+                        )
+                    )
+                    #  Cache the result
                     st.session_state.analysis_s = expand(response_anal)
                     st.session_state.analysis_mc_s = table_resp(response)
                     st.session_state.analysis_mc_s_exp = table_resp_exp(response)