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import os
import keyfile
import warnings
import streamlit as st
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.schema import HumanMessage, SystemMessage, AIMessage
# Ignore warnings
warnings.filterwarnings("ignore")
# Streamlit settings
st.set_page_config(page_title="🌿 ArchanaCare 🧙♀️", page_icon="🧙♀️", layout="wide")
# Header
st.markdown("<h1 style='text-align: center; color: #4B0082;'>Welcome to ArchanaCare 🌿✨</h1>", unsafe_allow_html=True)
st.markdown("<h3 style='color: #003366;'>How can I assist with your ailments or worries today? 🧪💫</h3>", unsafe_allow_html=True)
# Initialize session state for messages
if "sessionMessages" not in st.session_state:
st.session_state.sessionMessages = [
SystemMessage(content="You are a medieval magical healer known for your peculiar sarcasm.")
]
# Set Google API key
os.environ["GOOGLE_API_KEY"] = keyfile.GOOGLEKEY
# Initialize the model
llm = ChatGoogleGenerativeAI(
model="gemini-1.5-pro",
temperature=0.7,
convert_system_message_to_human=True
)
# Function to create chat bubbles
def chat_bubble(message, is_user=True):
align = 'right' if is_user else 'left'
color = '#E1F5FE' if is_user else '#FFEBEE'
st.markdown(f"""
<div style="text-align: {align}; padding: 10px;">
<span style="display: inline-block; padding: 10px; background-color: {color}; color: black;
border-radius: 15px; max-width: 70%; word-wrap: break-word;">
{message}
</span>
</div>
""", unsafe_allow_html=True)
# Function to load answer from the model
def load_answer(question):
# Add the user question to sessionMessages
st.session_state.sessionMessages.append(HumanMessage(content=question))
assistant_answer = llm.invoke(st.session_state.sessionMessages)
if isinstance(assistant_answer, AIMessage):
st.session_state.sessionMessages.append(assistant_answer)
return assistant_answer.content
else:
st.session_state.sessionMessages.append(AIMessage(content=assistant_answer))
return assistant_answer
# Display the chat history
for message in st.session_state.sessionMessages:
if isinstance(message, HumanMessage):
chat_bubble(message.content, is_user=True)
elif isinstance(message, AIMessage):
chat_bubble(message.content, is_user=False)
# Input area for new prompt
user_input = st.text_input("You: ", key="input", placeholder="Type your question here...")
# Button for submission
if st.button("🌟 Get a Magical Answer 🌟"):
if user_input:
chat_bubble(user_input, is_user=True) # Display user input
response = load_answer(user_input) # Get response
chat_bubble(response, is_user=False) # Display AI response
# Background styling
st.markdown("""
<style>
.stApp {
background: linear-gradient(to right, #FFEFBA, #FFFFFF);
color: #4B0082;
font-family: Arial, sans-serif;
}
input[type="text"] {
padding: 10px;
border: 2px solid #4B0082;
border-radius: 15px;
outline: none;
width: 100%;
}
button {
background-color: #4B0082;
color: white;
border-radius: 15px;
margin-top: 10px;
}
</style>
""", unsafe_allow_html=True)
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