app.py

import streamlit as st
import os
from langchain import HuggingFaceHub,PromptTemplate,LLMChain

from getpass import getpass
#HUGGINGFACE_API_TOKEN
os.environ["HUGGINGFACEHUB_API_TOKEN"] = "Token"

model_id="mistralai/Mistral-7B-Instruct-v0.2"
conv_model=HuggingFaceHub(huggingfacehub_api_token=os.environ['HUGGINGFACEHUB_API_TOKEN'],
                          repo_id=model_id,
                          model_kwargs={"temperature":0.2,"max_new_tokens":5000})

def answer_question(question):
  prompt = PromptTemplate( input_variables=['question'],
                          template="""You are a logical and a numerical question solver.Could you please answer this question ? {question}
                          Show all the steps in details to solve the problem. 
                          """)
  conv_chain = LLMChain(llm=conv_model, prompt=prompt, verbose=True,output_key="Answer")
  response = conv_chain({'question':question})
  return response

st.title("Zero Shot Question Answering")
input=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")
if submit and input:
    response=answer_question(input)
    st.write(response['Answer'])
  
if __name__ == "__main__":
  print("nothing given")