Update app.py

app.py

@@ -20,7 +20,6 @@ class AutonomousEmailAgent:
         self.role_description = None
         self.attempts = 0  # Counter for iterations
 
-    # Fetch LinkedIn data via Proxycurl
     def fetch_linkedin_data(self):
         proxycurl_api_key = os.getenv("PROXYCURL_API_KEY")
         if not self.linkedin_url:
@@ -43,19 +42,16 @@ class AutonomousEmailAgent:
                 print("Error: Unable to fetch LinkedIn profile. Status Code:", response.status_code)
                 self.use_default_profile()
 
-    # Set default profile information if LinkedIn scraping fails
     def use_default_profile(self):
         print("Using default profile values.")
         self.bio = "A professional with a versatile background and extensive experience."
         self.skills = ["Leadership", "Communication", "Problem-solving"]
         self.experiences = [{"title": "Project Manager"}, {"title": "Team Leader"}]
 
-    # Main loop following ReAct pattern
     def run(self):
         self.fetch_linkedin_data()
         return self.autonomous_reasoning()
 
-    # Reason and Act via LLM: Let the LLM control reasoning and actions dynamically
     def autonomous_reasoning(self):
         print("Autonomous Reasoning: Letting the LLM fully reason and act on available data...")
         
@@ -78,7 +74,6 @@ class AutonomousEmailAgent:
         
         return self.send_request_to_llm(reasoning_prompt)
 
-    # Send request to Groq Cloud LLM with enhanced debugging and error handling
     def send_request_to_llm(self, prompt):
         print("Sending request to Groq Cloud LLM...")
         api_key = os.getenv("GROQ_API_KEY")
@@ -105,7 +100,7 @@ class AutonomousEmailAgent:
                 if choices and "message" in choices[0]:
                     content = choices[0]["message"]["content"]
                     print(f"Content: {content}")
-                    return self.generate_email(content)
+                    return self.format_email(content)
                 else:
                     print("Error: Unrecognized format in LLM response.")
                     return "Error: Unrecognized response format."
@@ -116,19 +111,20 @@ class AutonomousEmailAgent:
             print(f"Error: Unable to connect to Groq Cloud LLM. Status Code: {response.status_code}")
             return "Error: Unable to generate response."
 
-    # Generate email based on the structured response
-    def generate_email(self, llm_response):
-        print("Generating email based on the structured response...")
-        email_content = f"""
-        {llm_response}
-
+    def format_email(self, llm_response):
+        # Remove unnecessary tabs and spaces and format consistently
+        lines = [line.strip() for line in llm_response.split("\n")]
+        formatted_email = "\n\n".join([line for line in lines if line])
+        
+        signature = f"""
         Best regards,
         {self.user_name}
         Email: {self.email}
         Phone: {self.phone}
         LinkedIn: {self.linkedin}
         """
-        return email_content
+        
+        return f"{formatted_email}\n\n{signature.strip()}"
 
 # Gradio UI setup remains unchanged
 def gradio_ui():