Update app.py

app.py

@@ -17,10 +17,13 @@ def get_linkedin_profile_via_proxycurl(linkedin_profile_url):
     
     if response.status_code == 200:
         data = response.json()
+        # Extract relevant skills and experiences from LinkedIn profile
         bio = data.get("summary", "No bio available")
-        return bio
+        skills = data.get("skills", [])  # List of skills from the LinkedIn profile
+        experiences = data.get("experiences", [])  # List of experiences from the LinkedIn profile
+        return bio, skills, experiences
     else:
-        return "Error: Unable to fetch LinkedIn profile"
+        return "Error: Unable to fetch LinkedIn profile", [], []
 
 # Function to get company information via Proxycurl Company API
 def get_company_info(company_name):
@@ -43,22 +46,26 @@ def get_role_description(role_name, company_name):
     return f"The role of {role_name} at {company_name} involves..."
 
 # Helper function to call Groq Cloud LLM API to generate and correct the email
-def generate_and_correct_email(bio, company_name, role, company_info, role_description):
+def generate_and_correct_email(bio, company_name, role, company_info, role_description, skills, experiences):
     url = "https://api.groq.com/openai/v1/chat/completions"
     headers = {
         "Authorization": f"Bearer {groq_api_key}",
         "Content-Type": "application/json",
     }
     
-    # New, detailed prompt to gather information about the company and role, and generate a compelling email
+    # New, detailed prompt with emphasis on correlating LinkedIn skills and experience to the job role
     prompt = f"""
-    Write a professional and tailored email applying for the {role} position at {company_name}. 
+    Write a professional email applying for the {role} position at {company_name}.
+    
     The candidate’s bio is: {bio}.
     
+    The candidate's LinkedIn profile highlights the following skills: {', '.join(skills)}.
+    The candidate has the following experiences relevant to the job: {', '.join([exp['title'] for exp in experiences])}.
+    
     The email should:
     - Be professional, engaging, and customized to the company's culture and the role’s requirements.
-    - Include relevant company details: {company_info}. 
-    - Highlight the candidate’s skills and experience, mapping them directly to the job requirements. The role description is: {role_description}.
+    - Include relevant company details: {company_info}.
+    - Highlight the candidate’s skills and experiences from LinkedIn, mapping them directly to the job's requirements. The role description is: {role_description}.
     - Emphasize how the candidate’s background aligns with the company’s values and mission.
     - Attract the company's attention by focusing on how the candidate's background can bring value to the role and the company's future goals.
     - Use a tone that is persuasive but not overly promotional.
@@ -66,11 +73,11 @@ def generate_and_correct_email(bio, company_name, role, company_info, role_descr
 
     Structure the email as follows:
     1. **Introduction**: Briefly introduce the candidate and state the role they are applying for.
-    2. **Skills & Experience**: Creatively map the candidate’s skills and experience to the job's key requirements and how these will benefit the company.
+    2. **Skills & Experience**: Map the candidate’s skills and experience from LinkedIn to the job's key requirements.
     3. **Alignment with the Company**: Emphasize how the candidate’s background fits with the company's mission, values, and goals.
     4. **Call to Action**: Encourage the company to schedule an interview to further discuss the candidate’s fit for the role.
     
-    The writing style should be professional, concise, and leave a strong, memorable impression on the company.
+    Ensure that redundant sign-offs like 'Best regards' or 'Sincerely' are not included.
     """
     
     # Construct the data payload for the API request
@@ -96,23 +103,25 @@ def generate_and_correct_email(bio, company_name, role, company_info, role_descr
 def create_email(name, company_name, role, email, phone, linkedin_profile_url):
     # Step 1: Fetch LinkedIn profile using Proxycurl API if LinkedIn URL is provided
     if linkedin_profile_url:
-        bio = get_linkedin_profile_via_proxycurl(linkedin_profile_url)
+        bio, skills, experiences = get_linkedin_profile_via_proxycurl(linkedin_profile_url)
     else:
         bio = f"{name} is a professional."  # Default bio if no LinkedIn URL is provided
+        skills, experiences = [], []
     
     # Step 2: Fetch company information and role description
     company_info = get_company_info(company_name)
     role_description = get_role_description(role, company_name)
     
     # Step 3: Generate the email using Groq Cloud LLM
-    generated_email = generate_and_correct_email(bio, company_name, role, company_info, role_description)
+    generated_email = generate_and_correct_email(bio, company_name, role, company_info, role_description, skills, experiences)
     
     # Step 4: Add the user's email, phone number, and LinkedIn profile to the signature
     signature = f"\n\nBest regards,\n{name}\nEmail: {email}\nPhone: {phone}\nLinkedIn: {linkedin_profile_url if linkedin_profile_url else 'Not provided'}"
 
-    # Ensure the body doesn't include any redundant 'Best regards' and just append our signature
-    if "Best regards" in generated_email:
-        generated_email = generated_email.split("Best regards")[0].strip()
+    # Ensure the body doesn't include any redundant 'Best regards' or 'Sincerely' and just append our signature
+    for phrase in ["Best regards", "Sincerely"]:
+        if phrase in generated_email:
+            generated_email = generated_email.split(phrase)[0].strip()
 
     # Return the final polished email with the signature
     return generated_email + signature