Update app.py

app.py

@@ -60,7 +60,7 @@ class EmailAgent:
     def fetch_company_info(self):
         if not self.company_name:
             print("Action: No company name provided, using default company info.")
-            self.company_info = "A leading company in its field, offering innovative solutions."
+            self.company_info = "A leading company in its field."
         else:
             print(f"Action: Fetching company info for {self.company_name}.")
             headers = {"Authorization": f"Bearer {proxycurl_api_key}"}
@@ -71,7 +71,7 @@ class EmailAgent:
                 self.company_info = data.get("description", "No detailed company info available.")
             else:
                 print(f"Error: Unable to fetch company info for {self.company_name}. Using default info.")
-                self.company_info = "A leading company in its field, offering innovative solutions."
+                self.company_info = "A leading company in its field."
 
     # Action: Scrape the company's website for role-specific information or use defaults
     def scrape_role_from_website(self):
@@ -103,7 +103,7 @@ class EmailAgent:
     # Action: Use default logic for role description if no role is available
     def use_default_role_description(self):
         print(f"Action: Using default logic for the role of {self.role}.")
-        self.role_description = f"The role of {self.role} at {self.company_name} involves mentoring and leading teams in innovative technology solutions."
+        self.role_description = f"The role of {self.role} at {self.company_name} involves leadership and management."
 
     # Reflection: Check if we have enough data to generate the email
     def reflect_on_data(self):
@@ -115,17 +115,20 @@ class EmailAgent:
     # Final Action: Generate the email using Groq Cloud LLM based on gathered data
     def generate_email(self):
         print("Action: Generating the email with the gathered information.")
+        
+        # Updated and fully dynamic LLM prompt
         prompt = f"""
         Write a professional email applying for the {self.role} position at {self.company_name}.
-        The candidate’s bio is: {self.bio}.
         
-        Focus on relevant skills and experiences from LinkedIn, such as {', '.join(self.skills)}, 
-        that directly align with the role of {self.role}. 
-        Highlight only the skills and experiences that relate to leadership, mentoring, technology, and innovation.
+        Use the following information:
+        - The candidate’s LinkedIn bio: {self.bio}.
+        - The candidate’s most relevant skills: {', '.join(self.skills)}.
+        - The candidate’s professional experience: {', '.join([exp['title'] for exp in self.experiences])}.
         
-        The company info is: {self.company_info}.
-        The role involves: {self.role_description}.
+        Please research the company's public information. If no company-specific information is available, use general knowledge about the company's industry.
         
+        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.
+
         End the email with this signature:
         Best regards,
         {self.user_name}
@@ -137,7 +140,10 @@ class EmailAgent:
         """
         
         url = "https://api.groq.com/openai/v1/chat/completions"
-        headers = {"Authorization": f"Bearer {groq_api_key}", "Content-Type": "application/json"}
+        headers = {
+            "Authorization": f"Bearer {groq_api_key}",
+            "Content-Type": "application/json",
+        }
         
         data = {
             "messages": [{"role": "user", "content": prompt}],
@@ -174,7 +180,7 @@ def gradio_ui():
     email_input = gr.Textbox(label="Your Email Address", placeholder="Enter your email address")
     phone_input = gr.Textbox(label="Your Phone Number", placeholder="Enter your phone number")
     linkedin_input = gr.Textbox(label="Your LinkedIn URL", placeholder="Enter your LinkedIn profile URL")
-    word_limit_slider = gr.Slider(minimum=50, maximum=300, step=10, label="Email Word Limit", value=150)  # Word limit slider
+    word_limit_slider = gr.Slider(minimum=50, maximum=300, step=10, label="Email Word Limit", value=150)
     
     # Output field
     email_output = gr.Textbox(label="Generated Email", placeholder="Your generated email will appear here", lines=10)