Update app.py

app.py

@@ -1,3 +1,5 @@
+# app.py
+
 import streamlit as st
 import requests
 from langchain_groq import ChatGroq
@@ -12,21 +14,30 @@ from streamlit_option_menu import option_menu
 import fitz  # PyMuPDF
 from bs4 import BeautifulSoup
 
+# -------------------------------
+# API Key Retrieval
+# -------------------------------
 
 GROQ_API_KEY = st.secrets["GROQ_API_KEY"]
 RAPIDAPI_KEY = st.secrets["RAPIDAPI_KEY"]
 YOUTUBE_API_KEY = st.secrets["YOUTUBE_API_KEY"]
-ADZUNA_APP_ID = st.secrets["ADZUNA_APP_ID"]
-ADZUNA_APP_KEY = st.secrets["ADZUNA_APP_KEY"]
 THE_MUSE_API_KEY = st.secrets.get("THE_MUSE_API_KEY", "") 
 BLS_API_KEY = st.secrets.get("BLS_API_KEY", "")  
 
+# -------------------------------
+# Initialize Language Model
+# -------------------------------
+
 llm = ChatGroq(
     temperature=0,
     groq_api_key=GROQ_API_KEY,
     model_name="llama-3.1-70b-versatile"
 )
 
+# -------------------------------
+# Function Definitions
+# -------------------------------
+
 @st.cache_data(ttl=3600)
 def extract_text_from_pdf(pdf_file):
     """
@@ -348,49 +359,15 @@ def fetch_muse_jobs_api(job_title, location=None, category=None, max_results=50)
         st.error(f"Error fetching jobs from The Muse: {e}")
         return []
 
-# Adzuna API Integration
-@st.cache_data(ttl=86400)  # Cache results for 1 day
-def fetch_adzuna_jobs_api(job_title, location="india", category=None, max_results=50):
-    """
-    Fetches job listings from Adzuna API based on user preferences.
-    
-    Args:
-        job_title (str): The job title to search for.
-        location (str, optional): The job location. Defaults to "india".
-        category (str, optional): The job category. Defaults to None.
-        max_results (int, optional): Maximum number of jobs to fetch. Defaults to 50.
-    
-    Returns:
-        list: A list of job dictionaries.
-    """
-    base_url = f"https://api.adzuna.com/v1/api/jobs/{location}/search/1"
-    params = {
-        "app_id": ADZUNA_APP_ID,
-        "app_key": ADZUNA_APP_KEY,
-        "what": job_title,
-        "results_per_page": max_results,
-        "content-type": "application/json"
-    }
-    if category:
-        params["category"] = category
-    try:
-        response = requests.get(base_url, params=params)
-        response.raise_for_status()
-        jobs = response.json().get("results", [])
-        return jobs
-    except requests.exceptions.RequestException as e:
-        st.error(f"Error fetching jobs from Adzuna: {e}")
-        return []
-
 # Indeed API Integration
 @st.cache_data(ttl=86400)  # Cache results for 1 day
-def fetch_indeed_jobs_api(job_title, country="CA", sort="-1", page_size=50):
+def fetch_indeed_jobs_api(job_title, location="CA", sort="-1", page_size=50):
     """
     Fetches job listings from Indeed API based on user preferences.
 
     Args:
         job_title (str): The job title to search for (e.g., "Front end developer").
-        country (str, optional): The country code (e.g., "CA" for Canada). Defaults to "CA".
+        location (str, optional): The country code (e.g., "CA" for Canada). Defaults to "CA".
         sort (str, optional): Sorting parameter (e.g., "-1" for relevance). Defaults to "-1".
         page_size (int, optional): Number of results per page. Defaults to 50.
 
@@ -403,7 +380,7 @@ def fetch_indeed_jobs_api(job_title, country="CA", sort="-1", page_size=50):
     encoded_job_title = re.sub(r'\s+', '+', job_title.strip())
 
     querystring = {
-        "country": country,
+        "country": location,
         "sort": sort,
         "page_size": str(page_size),
         "title": encoded_job_title  # Assuming the API accepts a 'title' parameter for job titles
@@ -470,7 +447,7 @@ def recommend_indeed_jobs(user_skills, user_preferences):
 
 def recommend_jobs(user_skills, user_preferences):
     """
-    Recommends jobs based on user skills and preferences from Remotive, The Muse, Adzuna, and Indeed APIs.
+    Recommends jobs based on user skills and preferences from Remotive, The Muse, and Indeed APIs.
 
     Args:
         user_skills (list): List of user's skills.
@@ -485,14 +462,11 @@ def recommend_jobs(user_skills, user_preferences):
     # Fetch from The Muse
     muse_jobs = fetch_muse_jobs_api(user_preferences.get("job_title", ""), user_preferences.get("location"), user_preferences.get("category"))
 
-    # Fetch from Adzuna
-    adzuna_jobs = fetch_adzuna_jobs_api(user_preferences.get("job_title", ""), user_preferences.get("location", "india"), user_preferences.get("category"))
-
     # Fetch from Indeed
     indeed_jobs = recommend_indeed_jobs(user_skills, user_preferences)
 
     # Combine all job listings
-    combined_jobs = remotive_jobs + muse_jobs + adzuna_jobs + indeed_jobs
+    combined_jobs = remotive_jobs + muse_jobs + indeed_jobs
 
     # Remove duplicates based on job URL
     unique_jobs = {}
@@ -737,32 +711,7 @@ def embed_youtube_videos(video_urls, module_name):
 # Job Recommendations and BLS Integration
 # -------------------------------
 
-def labor_market_insights_module():
-    st.header("📈 Labor Market Insights")
-
-    st.write("""
-    Gain valuable insights into the current labor market trends, employment rates, and industry growth to make informed career decisions.
-    """)
-
-    # Define BLS Series IDs based on desired data
-    # Example: Unemployment rate (Series ID: LNS14000000)
-    # Reference: https://www.bls.gov/web/laus/laumstrk.htm
-    unemployment_series_id = "LNS14000000"  # Unemployment Rate
-    employment_series_id = "CEU0000000001"  # Total Employment
-
-    # Display Unemployment Rate
-    display_bls_data(unemployment_series_id, "Unemployment Rate (%)")
-
-    # Display Total Employment
-    display_bls_data(employment_series_id, "Total Employment")
-
-    # Additional Insights
-    st.subheader("💡 Additional Insights")
-    st.write("""
-    - **Industry Growth:** Understanding which industries are growing can help you target your job search effectively.
-    - **Salary Trends:** Keeping an eye on salary trends ensures that you negotiate effectively and align your expectations.
-    - **Geographical Demand:** Some regions may have higher demand for certain roles, guiding your location preferences.
-    """)
+# Removed Adzuna-related functions as per request
 
 # -------------------------------
 # Page Functions
@@ -1125,7 +1074,7 @@ def job_recommendations_module():
             }
 
             with st.spinner("🔄 Fetching job recommendations..."):
-                # Fetch recommendations from all APIs
+                # Fetch recommendations from all APIs (Remotive, The Muse, Indeed)
                 recommended_jobs = recommend_jobs(user_skills, user_preferences)
 
                 if recommended_jobs:
@@ -1541,5 +1490,6 @@ def main_app():
     elif selected == "Help":
         help_page()
 
+
 if __name__ == "__main__":
     main_app()