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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()
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