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import streamlit as st
import google.generativeai as genai
import os
from dotenv import load_dotenv
from styles import get_custom_css
# Load environment variables
load_dotenv()
# Configure Google Gemini API
genai.configure(api_key=os.getenv('GOOGLE_API_KEY'))
model = genai.GenerativeModel('gemini-pro')
# Hide Streamlit menu and footer
st.markdown("""
<style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
header {visibility: hidden;}
</style>
""", unsafe_allow_html=True)
# Custom CSS
st.markdown(get_custom_css(), unsafe_allow_html=True)
# App title and description
st.title('🚀 Great Offer Generator')
st.markdown('''### Transform your skills into compelling offers!''')
# Create two columns for layout - left column 40%, right column 60%
col1, col2 = st.columns([4, 6])
# Main input section in left column
with col1:
skills = st.text_area('💪 Your Skills', height=70,
help='List your key skills and expertise')
product_service = st.text_area('🎯 Product/Service', height=70,
help='Describe your product or service')
# Accordion for additional settings
with st.expander('⚙️ Advanced Settings'):
target_audience = st.text_area('👥 Target Audience', height=70,
help='Describe your ideal customer or client')
temperature = st.slider('🌡️ Creativity Level', min_value=0.0, max_value=2.0, value=0.7,
help='Higher values make the output more creative but less focused')
# Generate button
if st.button('Generate Offer 🎉'):
if not skills or not product_service:
st.error('Please fill in both Skills and Product/Service fields')
else:
with st.spinner('Creating your perfect offer...'):
prompt = f"""Based on the following information, create a compelling offer:
Skills: {skills}
Product/Service: {product_service}
Target Audience: {target_audience if target_audience else 'General audience'}
Please create a professional and engaging offer that highlights the value proposition
and appeals to the target audience. Include a clear call to action."""
try:
# Create generation config with temperature
generation_config = genai.GenerationConfig(temperature=temperature)
# Pass the generation config to generate_content
response = model.generate_content(prompt, generation_config=generation_config)
st.success('✨ Your offer is ready!')
# Display result in the right column
with col2:
st.markdown('### 📝 Generated Offer')
st.markdown(response.text)
except Exception as e:
st.error(f'An error occurred: {str(e)}')
# Footer
st.markdown('---')
st.markdown('Made with ❤️ by Jesús Cabrera') |