Update app.py

app.py

@@ -41,23 +41,16 @@ def extract_skills_and_location(text):
     
     return skills, location
 
-# Fetch job listings from an external source
+# Web scraper function for job listings
 def fetch_job_listings(job_title, location, retries=3):
-    base_url = "https://www.careerjet.co.in/search/jobs"
-    params = {
-        's': job_title,
-        'l': location,
-        'p': 1,
-        'ps': 5
-    }
-
+    base_url = f"https://www.examplejobboard.com/jobs?query={job_title}&location={location}"
     headers = {
         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36'
     }
 
     for attempt in range(retries):
         try:
-            response = requests.get(base_url, params=params, headers=headers, timeout=10)
+            response = requests.get(base_url, headers=headers, timeout=10)
             response.raise_for_status()
             break  # Exit loop if request is successful
         except requests.RequestException as e:
@@ -67,18 +60,18 @@ def fetch_job_listings(job_title, location, retries=3):
             return f"Failed to retrieve job listings. Error: {str(e)}"
 
     soup = BeautifulSoup(response.text, 'html.parser')
-    job_cards = soup.find_all('article', class_='job clicky')[:5]
+    job_cards = soup.find_all('div', class_='job-card')[:5]  # Adjust to match the website's structure
 
     if not job_cards:
         return "No job listings found."
 
     job_listings = []
     for job in job_cards:
-        title_tag = job.find('h2').find('a')
-        company_tag = job.find('p', class_='company').find('a')
-        location_tag = job.find('ul', class_='location').find('li')
-        description_tag = job.find('div', class_='desc')
-        date_posted_tag = job.find('span', class_='badge badge-r badge-s badge-icon')
+        title_tag = job.find('h2', class_='job-title')
+        company_tag = job.find('div', class_='company')
+        location_tag = job.find('span', class_='job-location')
+        description_tag = job.find('p', class_='job-description')
+        date_posted_tag = job.find('time', class_='date-posted')
 
         job_info = {
             'Title': title_tag.text.strip() if title_tag else 'N/A',
@@ -86,58 +79,51 @@ def fetch_job_listings(job_title, location, retries=3):
             'Location': location_tag.text.strip() if location_tag else 'N/A',
             'Description': description_tag.text.strip() if description_tag else 'N/A',
             'Date Posted': date_posted_tag.text.strip() if date_posted_tag else 'N/A',
-            'URL': f"https://www.careerjet.co.in{title_tag['href']}" if title_tag else ''
+            'URL': title_tag.a['href'] if title_tag and title_tag.a else ''
         }
         job_listings.append(job_info)
 
     return job_listings
 
-# Main function to handle resume processing with loading bar
-def process_resume_with_notification(file):
-    with gr.Progress() as progress:
-        progress(0, desc="Extracting text from PDF...")
-        resume_text = extract_text_from_pdf(file)
-        
-        progress(0.3, desc="Analyzing resume content...")
-        skills, location = extract_skills_and_location(resume_text)
-        
-        progress(0.6, desc="Fetching job listings...")
-        job_title = skills[0] if skills else "Software Engineer"
-        job_listings = fetch_job_listings(job_title, location if location else "India")
-        
-        progress(1, desc="Formatting results...")
-        html_content = "<h2>Extracted Skills</h2>"
-        html_content += f"<p>{', '.join(skills)}</p>" if skills else "<p>No specific skills found.</p>"
-        html_content += "<h2>Location</h2>"
-        html_content += f"<p>{location}</p>" if location else "<p>Location not identified.</p>"
-        html_content += "<h2>Job Listings</h2>"
-        
-        if isinstance(job_listings, str):
-            html_content += f"<p>{job_listings}</p>"
-        else:
-            for job in job_listings:
-                html_content += f"""
-                <div style='border:1px solid #ccc; padding:10px; margin-bottom:10px;'>
-                    <h3><a href='{job['URL']}' target='_blank'>{job['Title']}</a></h3>
-                    <p><strong>Company:</strong> {job['Company']}</p>
-                    <p><strong>Location:</strong> {job['Location']}</p>
-                    <p><strong>Date Posted:</strong> {job['Date Posted']}</p>
-                    <p>{job['Description']}</p>
-                </div>
-                """
-        
-        return html_content
+# Main function to handle resume processing
+def process_resume(file):
+    resume_text = extract_text_from_pdf(file)
+    skills, location = extract_skills_and_location(resume_text)
+    
+    job_title = skills[0] if skills else "Software Engineer"
+    job_listings = fetch_job_listings(job_title, location if location else "India")
+    
+    html_content = "<h2>Extracted Skills</h2>"
+    html_content += f"<p>{', '.join(skills)}</p>" if skills else "<p>No specific skills found.</p>"
+    html_content += "<h2>Location</h2>"
+    html_content += f"<p>{location}</p>" if location else "<p>Location not identified.</p>"
+    html_content += "<h2>Job Listings</h2>"
+    
+    if isinstance(job_listings, str):
+        html_content += f"<p>{job_listings}</p>"
+    else:
+        for job in job_listings:
+            html_content += f"""
+            <div style='border:1px solid #ccc; padding:10px; margin-bottom:10px;'>
+                <h3><a href='{job['URL']}' target='_blank'>{job['Title']}</a></h3>
+                <p><strong>Company:</strong> {job['Company']}</p>
+                <p><strong>Location:</strong> {job['Location']}</p>
+                <p><strong>Date Posted:</strong> {job['Date Posted']}</p>
+                <p>{job['Description']}</p>
+            </div>
+            """
+    
+    return html_content
 
 # Create a Gradio interface for deployment
 gr_interface = gr.Interface(
-    fn=process_resume_with_notification,
+    fn=process_resume,
     inputs=gr.File(label="Upload your resume (PDF format)"),
     outputs=gr.HTML(),
     title="Resume-Based Job Recommender",
     description="Upload your resume and get job recommendations based on your skills and location.",
-    theme="default"
 )
 
-# Run the interface
+# Run the interface in the cloud
 if __name__ == "__main__":
     gr_interface.launch()