Update app.py

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
-from utils.utilss import *
-from prompts import cover_letter_prompts
+from utils.utils import *
+import prompts 
 import pyperclip
 from dotenv import load_dotenv
 import pandas as pd
@@ -140,7 +140,7 @@ def main():
     st.title("Job Hiring Assistant")
 
 
-    # Select Cover Letter Style
+    # Select Task
     st.sidebar.header("Select Task")
     selection = st.sidebar.radio("Select option", ("Generate Job Adverstisment", "Resume Analysis","Resume Selection"))
 
@@ -154,7 +154,7 @@ def main():
       job_requirement = st.text_area("Enter job requirement here")
       if st.button("Generate Job Adverstisment"):
         if job_requirement is not None:
-            prompt_template = cover_letter_prompts.prompt_template_classic 
+            prompt_template = prompts.prompt_template_classic 
             jobadv = generate_adv(job_requirement,job_title_text, prompt_template)
             st.subheader("Job Adverstisment:")
             st.markdown(jobadv)
@@ -217,7 +217,7 @@ 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 = cover_letter_prompts.prompt_template_modern
+                        prompt_template = prompts.prompt_template_modern
                         response = generate_analysis(resume_text, job_pref, job_title_text, must_have, prompt_template)
 
                         # Cache the result
@@ -253,7 +253,7 @@ 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 = cover_letter_prompts.prompt_template_resumes_
+                    prompt_template = prompts.prompt_template_resumes_
                     response = 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'])