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import sys | |
from PIL import Image | |
sys.path.append(".") | |
from utils import ( | |
generate_dummy_data, | |
generate_summary, | |
generate_welcome_message, | |
) | |
from prompts import CAMPAIGN_DESCR | |
import gradio as gr | |
df = generate_dummy_data() | |
print(df) | |
campaign_names = list(CAMPAIGN_DESCR.keys()) | |
def process_customer_selection(customer_name, campaign_name): | |
customer_data = df[df["Name"] == customer_name].iloc[0] | |
print(customer_data) | |
summary = generate_summary(customer_data) | |
message = generate_welcome_message(summary, campaign_name) | |
return summary, message | |
def create_gradio_app(): | |
customer_names = df["Name"].tolist() | |
interface = gr.Interface( | |
fn=process_customer_selection, | |
inputs=[ | |
gr.Dropdown(choices=customer_names, label="Select a Customer"), | |
gr.Dropdown(choices=campaign_names, label="Select a Campaign"), | |
], | |
outputs=[ | |
gr.Textbox(label="Customer Summary [Input]"), | |
gr.Textbox(label="Personalized Welcome Message [Output]"), | |
], | |
title="Personalized Email Content Generator", | |
) | |
interface.launch(share=True) | |
# Run the Gradio app | |
create_gradio_app() | |