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import streamlit as st
import os
import google.generativeai as genai
# st.title("Chatbot with Streamlit and GenAI")
st.title("CHATBOT")
os.environ['GOOGLE_API_KEY'] = "AIzaSyAh0J6mHZCEnYs0XDSB7QheB1QVZCjxO7k"
genai.configure(api_key = os.environ['GOOGLE_API_KEY'])
# Select the model
model = genai.GenerativeModel('gemini-pro')
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = [
{
"role":"assistant",
"content":"Ask me Anything"
}
]
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Process and store Query and Response
def llm_function(query):
response = model.generate_content(query)
# Displaying the Assistant Message
with st.chat_message("assistant"):
st.markdown(response.text)
# Storing the User Message
st.session_state.messages.append(
{
"role":"user",
"content": query
}
)
# Storing the User Message
st.session_state.messages.append(
{
"role":"assistant",
"content": response.text
}
)
# Accept user input
query = st.chat_input("What's up?")
# Calling the Function when Input is Provided
if query:
# Displaying the User Message
with st.chat_message("user"):
st.markdown(query)
llm_function(query) |