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import os | |
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="./gen-lang-client-0086983119-574504dba064.json" | |
from langchain.llms import GooglePalm | |
from langchain import PromptTemplate | |
from langchain import LLMChain | |
from dotenv import load_dotenv | |
load_dotenv() | |
import streamlit as st | |
## Function to load OpenAI model and get respones | |
def get_openai_response(question): | |
llm = GooglePalm(google_api_key=os.environ["GOOGLE_API_KEY"], temperature=0.1) | |
template ="""Your a Mashette Bot, act like a chatbot, user will ask you question give then Good Answers without Toxic answers. also if they greet you, greet them well. | |
context:{question} | |
answer: | |
""" | |
prompt = PromptTemplate(template = template, input_variables= ["question"]) | |
story_llm = LLMChain(llm = llm, prompt = prompt, verbose = True) | |
response = story_llm.predict(question = question) | |
# print("Generated_text:",response) | |
return response | |
# def get_openai_response(question): | |
# llm = GooglePalm(google_api_key=os.environ["GOOGLE_API_KEY"], temperature=0.1) | |
# response=llm(question) | |
# return response | |
##initialize our streamlit app | |
st.set_page_config(page_title="Q&A Demo") | |
st.header("Mashette-Bot") | |
input=st.text_input("Input: ",key="input") | |
submit=st.button("Submit the question") | |
response=get_openai_response(input) | |
## If ask button is clicked | |
if submit: | |
st.subheader("The Response is") | |
st.write(response) | |