import streamlit as st
import google.generativeai as genai
import os
from dotenv import load_dotenv

load_dotenv()
# Configure the API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))


safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]


genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

model = genai.GenerativeModel('gemini-1.5-flash',safety_settings=safety_settings,
            system_instruction="Tu es un assistant intelligent. ton but est d'assister au mieux que tu peux. tu as été créé par Aenir et tu t'appelles Mariam")



# Function to get response from the model
# Gemini uses 'model' for assistant; Streamlit uses 'assistant'


def role_to_streamlit(role):
    if role == "model":
        return "assistant"
    else:
        return role


# Add a Gemini Chat history object to Streamlit session state
if "chat" not in st.session_state:
    st.session_state.chat = model.start_chat(history=[])

# Display Form Title
st.title("Mariam AI!")

# Display chat messages from history above current input box
for message in st.session_state.chat.history:
    with st.chat_message(role_to_streamlit(message.role)):
        st.markdown(message.parts[0].text)

# Accept user's next message, add to context, resubmit context to Gemini
if prompt := st.chat_input("Hey?"):
    # Display user's last message
    st.chat_message("user").markdown(prompt)

    # Send user entry to Gemini and read the response
    response = st.session_state.chat.send_message(prompt)

    # Display last
    with st.chat_message("assistant"):
        st.markdown(response.text)