import os import gradio as gr from openai import OpenAI # Initialize OpenAI client client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) # Streaming response function def respond( message, history: list[tuple[str, str]], system_message, segment_profile, value_proposition, promotion, subject, ask_for_subject_suggestions, max_tokens, temperature, top_p, ): # Compose enhanced system message enhanced_system_message = ( f"{system_message}\n\n" f"Segment Profile: {segment_profile}\n" f"Value Proposition: {value_proposition}\n" f"Goal and Promotion: {promotion}\n" f"Subject Line: {subject}\n" ) if ask_for_subject_suggestions: enhanced_system_message += " The user is also asking for subject line suggestions to catch their customer's attention and improve Email Open Rate." # Build message history messages = [{"role": "system", "content": enhanced_system_message}] for user_msg, assistant_msg in history: if user_msg: messages.append({"role": "user", "content": user_msg}) if assistant_msg: messages.append({"role": "assistant", "content": assistant_msg}) messages.append({"role": "user", "content": message}) # Stream response from OpenAI response_text = "" try: response = client.chat.completions.create( model="gpt-4o-mini", # or "gpt-4o" if mini unavailable messages=messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p, stream=True, ) for chunk in response: if chunk.choices and chunk.choices[0].delta.content: token = chunk.choices[0].delta.content response_text += token yield response_text except Exception as e: yield f"❌ An error occurred: {str(e)}" # Gradio interface demo = gr.ChatInterface( fn=respond, additional_inputs=[ gr.Textbox( value="You are a friendly Chatbot, a digital marketing expert and a talented copywriter. You are trying to help a user write a creative email that can achieve campaign goals, a high Open Rate, CTR and conversion rate - based on user input.", label="Instructions to Bot", ), gr.Textbox(label="Your Target Customer Segment Profile", placeholder="Describe the profile of your target customer segment (e.g., age, gender, interests, profession)"), gr.Textbox(label="Your Value Proposition", placeholder="Describe how your solution to customer problems offers them unique value"), gr.Textbox(label="Campaign Goal, Special Event, Promotion and Call to Action", placeholder="Describe your campaign goal, a special event, promotion and Call to Action that you hope your target segment will act upon"), gr.Textbox(label="Subject Line", placeholder="Enter the Subject Line of the Email or ask for suggestions"), gr.Checkbox(label="Ask for Subject Line Suggestions", value=False), gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), ], title="Email Copywriter", description="This app creates a customized email that resonates with your customers to improve CTR and conversion. Based on your input. Powered by OpenAI GPT-4o. Developed by wn. Disclaimer: AI makes mistakes. Use with caution and at your own risk!", type="messages", ) if __name__ == "__main__": demo.launch()