Upload app.py

app.py

@@ -250,7 +250,7 @@ def analyze_email_complete(subject, preview_text, body_text, day_of_week, send_t
 
     return output, context
 
-def chatbot_response(user_message, context):
+def def chatbot_response(user_message, history, context):
     # Check if context exists
     if not context or not isinstance(context, dict):
         return "Please analyze an email first, then ask your question here."
@@ -304,6 +304,13 @@ day_options = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday
 
 # Create Gradio interface
 with gr.Blocks() as demo:
+    gr.Markdown(
+        """
+        # 🚀 Email Performance Predictor – Forks Over Knives
+
+        Predict your email’s open, click, and unsubscribe rates.
+        Get actionable, section-specific suggestions, content classification, and optimization advice from the chatbot below!
+        """
     with gr.Row():
         with gr.Column():
             subject = gr.Textbox(label="📧 Subject Line", placeholder="Enter your email subject line")
@@ -336,4 +343,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()