#Generic
import os
import keyfile
import streamlit as st
import warnings
warnings.filterwarnings("ignore")

#Langchain Packages
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.schema import HumanMessage, SystemMessage, AIMessage

#First message that will pop on the screen
st.set_page_config(page_title = "Magical Healer")
st.header("Welcome, How can I help you?")

#General Instruction
if "sessionMessages" not in st.session_state:
    st.session_state["sessionMessages"]=[]

if "sessionMessages" not in st.session_state:
    st.session_state.sessionMessage=[
        SystemMessage(content="You are a medievel magical healer known for your peculiar sarcasm")
    ]

#Configure the key
os.environ["GOOGLE_API_KEY"] = keyfile.GOOGLEKEY


# Create the model
llm = ChatGoogleGenerativeAI(
    model="gemini-1.5-pro",
    temperature=0.7,
    convert_system_message_to_human= True
)

#User message
def get_text():
    input_text=st.text_input("You: ", key=input)
    return input_text

#Working with Responses
def load_answer(question):
    #This is code, where we are adding new message to the model
    st.session_state.sessionMessages.append(HumanMessage(content=question))
    #We will get output from the model
    assistant_answer=llm.invoke(st.session_state.sessionMessages)
    #Appending the assistance answer in conversation
    st.session_state.sessionMessages.append(AIMessage(content = assistant_answer))

    return assistant_answer.content

def get_text():
    input_text=st.text_input("You: ", key=input)
    return input_text

#Implementing
user_input=get_text()
submit= st.button("Generate")

if submit:
    resp=load_answer(user_input)
    st.subheader("Answer: ")
    st.write(resp,key=1)