| import streamlit as st |
| import openai |
| import pandas as pd |
| import os |
|
|
|
|
|
|
| openai.api_key =os.getenv("openapikey") |
| def generate_email(customer_data): |
| messages = [ |
| {"role": "system", "content": "You are a marketing email generator."}, |
| {"role": "user", "content": f"Generate a personalized marketing email using the following customer data: {customer_data}"} |
| ] |
| try: |
| response = openai.chat.completions.create( |
| model="gpt-3.5-turbo", |
| messages=messages, |
| max_tokens=300 |
| ) |
| return response.choices[0].message.content.strip() |
| except Exception as e: |
| return f"An error occurred: {e}" |
|
|
| st.title("Personalized Marketing Emails") |
| uploaded_file = st.file_uploader("Upload Customer Data (CSV):", type="csv") |
| if uploaded_file: |
| df = pd.read_csv(uploaded_file) |
| st.write("Customer Data:", df) |
| if st.button("Generate Emails"): |
| for index, row in df.iterrows(): |
| email = generate_email(row.to_dict()) |
| st.write(f"Email for {row.Name} :", email) |
