Update app.py

app.py

@@ -19,13 +19,14 @@ class AutonomousEmailAgent:
         self.company_info = None
         self.role_description = None
         self.attempts = 0  # Counter for iterations
-        self.max_attempts = 5  # Set maximum number of iterations
 
     def fetch_linkedin_data(self):
         proxycurl_api_key = os.getenv("PROXYCURL_API_KEY")
         if not self.linkedin_url:
             print("Action: No LinkedIn URL provided, using default bio.")
-            self.use_default_profile()
+            self.bio = "A professional with diverse experience."
+            self.skills = ["Adaptable", "Hardworking"]
+            self.experiences = ["Worked across various industries"]
         else:
             print("Action: Fetching LinkedIn data via Proxycurl.")
             headers = {"Authorization": f"Bearer {proxycurl_api_key}"}
@@ -55,10 +56,10 @@ class AutonomousEmailAgent:
         print("Autonomous Reasoning: Letting the LLM fully reason and act on available data...")
         
         reasoning_prompt = f"""
-        You are an AI agent tasked with generating a professional job application email using Simon Sinek's Start with Why model. 
-        The email must start with why the candidate is passionate about the role, then explain how their skills and 
+        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. Make sure the email encourages the employer to engage further and ends on a positive note.
+        capabilities.
 
         Here’s the current data:
         - LinkedIn profile: {self.linkedin_url}
@@ -68,7 +69,7 @@ class AutonomousEmailAgent:
         - Candidate's Skills: {', '.join(self.skills)}
         - Candidate's Experiences: {', '.join([exp['title'] for exp in self.experiences])}
 
-        Ensure the email is formatted correctly and adheres to a maximum of {self.word_limit} words.
+        Generate the email using this structure and ensure it is within {self.word_limit} words.
         """
         
         return self.send_request_to_llm(reasoning_prompt)
@@ -99,7 +100,7 @@ class AutonomousEmailAgent:
                 if choices and "message" in choices[0]:
                     content = choices[0]["message"]["content"]
                     print(f"Content: {content}")
-                    return self.act_on_llm_instructions(content)
+                    return self.format_email(content)
                 else:
                     print("Error: Unrecognized format in LLM response.")
                     return "Error: Unrecognized response format."
@@ -110,25 +111,6 @@ class AutonomousEmailAgent:
             print(f"Error: Unable to connect to Groq Cloud LLM. Status Code: {response.status_code}")
             return "Error: Unable to generate response."
 
-    def act_on_llm_instructions(self, llm_response):
-        if self.attempts >= self.max_attempts:
-            print("Max attempts reached. Proceeding with fallback option.")
-            return self.generate_fallback_email()
-
-        print(f"LLM Instruction: {llm_response}")
-        if "scrape" in llm_response.lower():
-            self.attempts += 1
-            print(f"Scraping attempt {self.attempts}...")
-            return self.autonomous_reasoning()
-        elif "generate_email" in llm_response.lower():
-            return self.format_email(llm_response)
-        elif "fallback" in llm_response.lower():
-            return self.generate_fallback_email()
-        else:
-            print("Error: Unrecognized instruction from LLM. Proceeding with available data.")
-            self.attempts += 1
-            return self.autonomous_reasoning()
-
     def format_email(self, llm_response):
         # Clean and format the email
         lines = [line.strip() for line in llm_response.split("\n") if line.strip()]
@@ -140,17 +122,20 @@ class AutonomousEmailAgent:
             truncated_email = " ".join(words[:self.word_limit]) + "..."
             formatted_email = truncated_email
 
-        # Add a call to action in the closing section
+        # Add the closing section with a call to action
         closing_section = (
-            "\n\nI would love the opportunity to discuss how my background and skills align with the goals of "
-            f"{self.company_name}. I am eager to contribute and support the mission of your organization.\n\n"
-            "Thank you for considering my application. I look forward to hearing from you.\n"
+            "\n\nI would appreciate the opportunity to discuss how my background, skills, and passion align with the goals "
+            "of 100xEngineers. I am eager to contribute to your mission and support the development of future leaders in technology.\n\n"
+            "Thank you for considering my application. I look forward to the possibility of discussing this role further.\n"
         )
 
         # Prepare the signature
         signature = (
-            f"Best regards,\n{self.user_name}\n"
-            f"Email: {self.email}\nPhone: {self.phone}\nLinkedIn: {self.linkedin}"
+            f"Best regards,\n"
+            f"{self.user_name}\n"
+            f"Email: {self.email}\n"
+            f"Phone: {self.phone}\n"
+            f"LinkedIn: {self.linkedin}"
         )
 
         # Ensure only one "Best regards" section and remove any duplicate signatures
@@ -159,23 +144,6 @@ class AutonomousEmailAgent:
 
         return f"{formatted_email}{closing_section}\n{signature}"
 
-    def generate_fallback_email(self):
-        # Generate a more impactful fallback email if max attempts are reached
-        return f"""Subject: Application for {self.role} at {self.company_name}
-
-Dear Hiring Manager,
-
-I am excited to apply for the {self.role} position at {self.company_name}. My experience in business development and leadership has prepared me to make a significant impact in this role. I have led global marketing efforts, managed international teams, and developed strategic initiatives that align closely with the goals of your organization.
-
-I would appreciate the opportunity to discuss how my skills can contribute to {self.company_name}'s mission and success. Please feel free to contact me at your earliest convenience.
-
-Best regards,
-{self.user_name}
-Email: {self.email}
-Phone: {self.phone}
-LinkedIn: {self.linkedin}
-"""
-
 # Gradio UI setup remains unchanged
 def gradio_ui():
     name_input = gr.Textbox(label="Your Name", placeholder="Enter your name")
@@ -197,8 +165,10 @@ def gradio_ui():
         inputs=[name_input, company_input, role_input, email_input, phone_input, linkedin_input, word_limit_slider],
         outputs=[email_output],
         title="Email Writing AI Agent with ReAct",
-        description="Generates a job application email using dynamic and adaptive reasoning."
+        description="Generate a professional email for a job application using LinkedIn data, company info, and role description.",
+        allow_flagging="never"
     )
+    
     demo.launch()
 
 if __name__ == "__main__":