Update app.py

app.py

@@ -125,6 +125,9 @@ class EmailAgent:
     def generate_email(self):
         print("Action: Generating the email with the gathered information.")
         
+        # Use the LinkedIn profile link dynamically in the body
+        linkedin_text = f"Please find my LinkedIn profile at {self.linkedin}" if self.linkedin else ""
+
         # Dynamic LLM prompt
         prompt = f"""
         Write a professional email applying for the {self.role} position at {self.company_name}.
@@ -138,6 +141,10 @@ class EmailAgent:
         
         Tailor the email dynamically to the role of **{self.role}** at {self.company_name}, aligning the candidate's skills and experiences with the expected responsibilities of the role and the company’s operations.
 
+        {linkedin_text}
+
+        Remove references to job posting sources unless provided. Use the LinkedIn URL for the candidate and do not include placeholders.
+
         End the email with this signature:
         Best regards,
         {self.user_name}
@@ -190,24 +197,3 @@ def gradio_ui():
     # Output field
     email_output = gr.Textbox(label="Generated Email", placeholder="Your generated email will appear here", lines=10)
 
-    # Function to create and run the email agent
-    def create_email(name, company_name, role, email, phone, linkedin_url, word_limit):
-        agent = EmailAgent(linkedin_url, company_name, role, word_limit, name, email, phone, linkedin_url)
-        return agent.run()
-
-    # Gradio interface
-    demo = gr.Interface(
-        fn=create_email,
-        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="Generate a professional email for a job application using LinkedIn data, company info, and role description.",
-        allow_flagging="never"
-    )
-    
-    # Launch the Gradio app
-    demo.launch()
-
-# Start the Gradio app when running the script
-if __name__ == "__main__":
-    gradio_ui()