app.py

import streamlit as st
import os
from streamlit_chat import message
import google.generativeai as genai
from langchain.prompts import PromptTemplate
from langchain import LLMChain
from langchain_google_genai import ChatGoogleGenerativeAI

genai.configure(api_key=os.environ["GOOGLE_API_KEY"])

llm = ChatGoogleGenerativeAI(model="gemini-pro",
                             temperature=0.7)


template = """You are a friendly chatbot called "CRETA" who give clear an well having a conversation with a human and you are created by suriya an AI Enthusiastic.
previous_chat:
{chat_history}
Human: {human_input}
Chatbot:"""

prompt = PromptTemplate(
    input_variables=["chat_history", "human_input"], template=template
)

llm_chain = LLMChain(
    llm=llm,
    prompt=prompt,
    verbose=True,
)


previous_response = ""
def conversational_chat(query):
    global previous_response
    for i in st.session_state['history']:
        if i is not None:
            previous_response += f"Human: {i[0]}\n Chatbot: {i[1]}"
    print(previous_response)
    result = llm_chain.predict(chat_history=previous_response, human_input=query)
    st.session_state['history'].append((query, result))
    return result

st.title("ASSISTANT BOT:")

if 'history' not in st.session_state:
    st.session_state['history'] = []
    
# Initialize messages
if 'generated' not in st.session_state:
    st.session_state['generated'] = ["Hello ! Ask me anything"]

if 'past' not in st.session_state:
    st.session_state['past'] = [" "]
    
# Create containers for chat history and user input
response_container = st.container()
container = st.container()

# User input form
user_input = st.chat_input("Ask Your Questions 👉..")
with container:
    if user_input:
        output = conversational_chat(user_input)
        # answer = response_generator(output)
        st.session_state['past'].append(user_input)
        st.session_state['generated'].append(output)

# Display chat history
if st.session_state['generated']:
    with response_container:
        for i in range(len(st.session_state['generated'])):
            if i != 0:
                message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="adventurer")
            message(st.session_state["generated"][i], key=str(i), avatar_style="bottts")