app.py

import streamlit as st
import openai

# Access the OpenAI API key from Hugging Face Spaces secrets
openai.api_key = st.secrets["OPENAI_API_KEY"]

st.title("2024 Video Marketing Plan Generator")

# User inputs for the marketing plan
st.subheader("Define Your Business and Audience")
business_type = st.text_input("Your Business Type", placeholder="e.g., Cafe, Yoga Studio")
target_audience = st.text_area("Describe Your Target Audience", placeholder="e.g., demographics, interests")

st.subheader("Current Marketing and Budget")
current_marketing = st.text_area("Current Marketing Efforts", placeholder="What are your ongoing marketing activities?")
marketing_budget = st.text_input("Annual Marketing Budget", placeholder="Enter your budget for the year")

# Test data button
if st.button('Load Test Data'):
    st.session_state['business_type'] = "Fitness Studio"
    st.session_state['target_audience'] = "Young adults interested in health and wellness"
    st.session_state['current_marketing'] = "Social media campaigns, local community events"
    st.session_state['marketing_budget'] = "50000"

# Use session state for input fields
business_type = st.text_input("Your Business Type", value=st.session_state.get('business_type', ''), placeholder="e.g., Cafe, Yoga Studio")
target_audience = st.text_area("Describe Your Target Audience", value=st.session_state.get('target_audience', ''), placeholder="e.g., demographics, interests")
current_marketing = st.text_area("Current Marketing Efforts", value=st.session_state.get('current_marketing', ''), placeholder="What are your ongoing marketing activities?")
marketing_budget = st.text_input("Annual Marketing Budget", value=st.session_state.get('marketing_budget', ''), placeholder="Enter your budget for the year")

if st.button('Generate My Video Marketing Plan'):
    # Construct the prompt for text generation
    prompt_text = (
        f"Generate a 2024 video marketing plan for a {business_type} targeting an audience characterized as: {target_audience}. "
        f"Include content pillars, and monthly video recommendations based on the current marketing efforts: {current_marketing} "
        f"and an annual marketing budget of {marketing_budget}."
    )

    # Call the OpenAI API for text generation
    try:
        response_text = openai.ChatCompletion.create(
            model="gpt-4",
            messages=[
                {"role": "system", "content": "You are an AI specializing in marketing strategy."},
                {"role": "user", "content": prompt_text}
            ]
        )
        marketing_plan = response_text.choices[0].message['content']
    except Exception as e:
        marketing_plan = f"Error in generating marketing plan: {e}"

    # Display the marketing plan
    st.markdown("### Your Customized Video Marketing Plan")
    st.write(marketing_plan)