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import streamlit as st
from langchain_huggingface import HuggingFaceEndpoint
import os
api_key = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
def load_answer(question):
llm = HuggingFaceEndpoint(
repo_id = "mistralai/Mistral-7B-Instruct-v0.3"
)
answer = llm.invoke(question)
return answer
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
st.header("LangChain Demo")
def get_text():
input_text = st.text_input("You: ", key="input")
return input_text
user_input = get_text()
if user_input != "":
response = load_answer(user_input)
submit = st.button('Generate')
if submit:
st.subheader("Answer:")
st.write(response) |