import streamlit as st
import google.generativeai as genai
from transformers import AutoTokenizer, AutoModelForCausalLM
import os
import json

# Configure page
st.set_page_config(
    page_title="HerCorners",
    page_icon="👑",
    layout="wide",
    initial_sidebar_state="expanded"
)

# Initialize API keys safely
def initialize_apis():
    try:
        # For Gemini
        genai.configure(api_key=st.secrets["GEMINI_API_KEY"])
        
        # For Hugging Face
        os.environ["HUGGINGFACE_API_TOKEN"] = st.secrets["HUGGINGFACE_API_KEY"]
        
        return True
    except Exception as e:
        st.error(f"Error initializing APIs: {str(e)}")
        return False

# Create configuration file for API settings
def create_config():
    config = {
        "gemini_model": "gemini-pro",
        "huggingface_model": "google/gemma-7b",
        "max_tokens": 1000,
        "temperature": 0.7
    }
    return config

# Main application class
class HerCorners:
    def __init__(self):
        self.config = create_config()
        self.apis_initialized = initialize_apis()
        
    def generate_gemini_response(self, prompt):
        try:
            model = genai.GenerativeModel(self.config["gemini_model"])
            response = model.generate_content(prompt)
            return response.text
        except Exception as e:
            st.error(f"Error generating response: {str(e)}")
            return None

    # Add other methods here...

# Main execution
def main():
    app = HerCorners()
    
    if not app.apis_initialized:
        st.warning("Please configure your API keys in the Space settings.")
        st.info("""
        To add your API keys:
        1. Go to your Space Settings
        2. Navigate to 'Secrets'
        3. Add GEMINI_API_KEY and HUGGINGFACE_API_KEY
        """)
        return
        
    # Rest of your application code...

if __name__ == "__main__":
    main()