Bug Fixed

app.py

@@ -17,8 +17,10 @@ from dotenv import load_dotenv
 import google.generativeai as genai
 from langchain_google_genai import ChatGoogleGenerativeAI
 
+# Load environment variables
 load_dotenv()
 
+# Initialize CareerEnchanter
 class CareerEnchanter(object):
     def __init__(self, title="CareerEnchanter"):
         self.title = title
@@ -27,46 +29,52 @@ class CareerEnchanter(object):
     def model():
         genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
         return ChatGoogleGenerativeAI(model="gemini-pro")
-    
+
+# Initialize CareerEnchanter instance
 enchanter = CareerEnchanter()
-st.set_page_config(page_title=enchanter.title, page_icon='🤖', layout='centered')
 
-st.title("Enchant your Career")
+# Set Streamlit page configuration
+st.set_page_config(page_title=enchanter.title, page_icon='🤖', layout='wide')
+
+# Main title
+st.title("🚀 Career Enchanter 🚀")
 
+# Load document
 text = docLoader.load_doc()
 st.session_state['doc_text'] = text
-jd=st.text_area("Job Description: ",key="input")
+
+# Job Description input
+jd = st.text_area("Job Description: ", key="input")
+
+# Sidebar options
 with st.sidebar:
-        st.title(' :blue[_Career Enchanter_] 🤖')
-        option = st.radio("Select an option: ", (
-            "ATS Score", 
-            "Resume Review", 
-            "Resume Enhancements", 
-            "Resume Improvements", 
-            "Recommendation", 
-            "Keywords", 
-            "Generate Cover Letter", 
-            "Resume Generator", 
-            "Linkedin Profile Update", 
-            "Posssible Interview Questions", 
-            "Company Recommendations"
-            ))
+    st.title('🔮 Career Enchanter Options 🔮')
+    option = st.radio("Select an option: ", (
+        "ATS Score", 
+        "Resume Review", 
+        "Resume Enhancements", 
+        "Resume Improvements", 
+        "Recommendation", 
+        "Keywords", 
+        "Generate Cover Letter", 
+        "Resume Generator", 
+        "Linkedin Profile Update", 
+        "Possible Interview Questions", 
+        "Company Recommendations"
+        ))
 
-        
-        if option == "ATS Score":
+    # Load model
+    with st.spinner("Loading Model..."):
+        llm = enchanter.model()
+if option == "ATS Score":
             calculation_method = st.radio("Choose how you want to calculate ATS Score: ", ("Using AI", "Manually (Cosine Similarity)"), horizontal=True)
 
-        elif option == "Recommendation":
+elif option == "Recommendation":
             recommendation_type = st.radio("Select the type of recommendation you want: ", ("Entire Resume", "Section Wise"), horizontal=True)
 
-        elif option == "Keywords":
+elif option == "Keywords":
             analyz_type = st.radio("Select the type of Keywords Fucntion you want: ", ("Analyse Keywords", "Keyword Synonyms"), horizontal=True)
-
-        with st.spinner("Loading Model..."):
-            llm = enchanter.model()
-
-
-# Create a dictionary mapping options to functions
+# Dictionary mapping options to functions
 option_functions = {
     "ATS Score": ats.run_ats,
     "Resume Review": review.run_review,
@@ -77,7 +85,7 @@ option_functions = {
     "Generate Cover Letter": cover_letter.run_letter,
     "Resume Generator": newresume.run_newresume,
     "Linkedin Profile Update": linkedin.run_linkedin,
-    "Posssible Interview Questions": interview.run_interview,
+    "Possible Interview Questions": interview.run_interview,
     "Company Recommendations": company_recommend.run_company
 }
 
@@ -100,4 +108,4 @@ if option in option_functions:
         else:
             func(llm, st.session_state['doc_text'], jd)
     else:
-        func(llm, st.session_state['doc_text'], jd)
+        func(llm, st.session_state['doc_text'], jd)

components/functions.py

@@ -7,6 +7,7 @@ import re
 import numpy as np
 import numpy as np
 import torch
+import nltk
 from nltk.corpus import stopwords
 from nltk.tokenize import word_tokenize
 from transformers import BertTokenizer, BertModel
@@ -56,6 +57,12 @@ class Functions():
 
     @staticmethod
     def calculate_ats_score(resume_data, job_description):
+        # Download NLTK stopwords if not already downloaded
+        try:
+            stopwords.words('english')
+        except LookupError:
+            nltk.download('stopwords')
+
         def preprocess_text(text):
             text = text.lower()
             stop_words = set(stopwords.words('english'))

components/prompts.py

@@ -101,8 +101,8 @@ resume_improve = """
     """
 
 resume_enhance = """
-    You are an experienced Technical Human Resource Manager,your task is to Provide specific suggestions in bullet points to tailor the resume to the job description from the provided paragraph. 
-    Please share your professional suggestions on what to write and how to write the given pargraph so that the candidate's profile aligns with the role. 
+    You are an experienced Technical Human Resource Manager, your task is to Provide specific suggestions in bullet points to tailor the resume to the job description from the provided paragraph. 
+    Please share your professional suggestions on what to write and how to write the given paragraph so that the candidate's profile aligns with the role. 
     Highlight weaknesses of the applicant in relation to the specified job requirements and provide sugestions on how to enhance it and make it strength.
 
     Job Description: {input_text}