Update app.py

app.py

@@ -18,7 +18,7 @@ class AutonomousEmailAgent:
         self.experiences = []
         self.company_info = None
         self.role_description = None
-        self.attempts = 0  # Counter for iterations
+        self.attempts = 0
 
     def fetch_linkedin_data(self):
         proxycurl_api_key = os.getenv("PROXYCURL_API_KEY")
@@ -59,7 +59,7 @@ class AutonomousEmailAgent:
         You are an AI agent tasked with generating a job application email using Simon Sinek's Start with Why model. 
         The email must begin with why the candidate is passionate about the role, then explain how their skills and 
         experience align with the company and role, and finally describe specific achievements that demonstrate their 
-        capabilities.
+        capabilities. The email must not exceed {self.word_limit} words but should remain coherent and complete.
 
         Here’s the current data:
         - LinkedIn profile: {self.linkedin_url}
@@ -69,7 +69,7 @@ class AutonomousEmailAgent:
         - Candidate's Skills: {', '.join(self.skills)}
         - Candidate's Experiences: {', '.join([exp['title'] for exp in self.experiences])}
 
-        Generate the email using this structure and ensure it is within {self.word_limit} words, but complete the email logically.
+        Generate a fully coherent and complete email that fits within the word limit.
         """
         
         return self.send_request_to_llm(reasoning_prompt)
@@ -116,14 +116,6 @@ class AutonomousEmailAgent:
         paragraphs = [line.strip() for line in llm_response.split("\n") if line.strip()]
         formatted_email = "\n\n".join(paragraphs)
 
-        # Ensure the email stays within the word limit and retains logical coherence
-        words = formatted_email.split()
-        if len(words) > self.word_limit:
-            truncated_email = " ".join(words[:self.word_limit])
-            if not truncated_email.endswith((".", "!", "?")):
-                truncated_email += "..."
-            formatted_email = truncated_email
-
         # Add the closing section with a call to action
         closing_section = (
             "\n\nI would appreciate the opportunity to discuss how my background, skills, and passion align with the goals "