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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-vision",
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") |