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import streamlit as st | |
import langchain | |
from langchain.llms import HuggingFaceHub | |
def load_answer(question): | |
llm = HuggingFaceHub(repo_id="google/flan-t5-large") | |
answer = llm(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() | |
response = load_answer(user_input) | |
submit = st.button("Generate") | |
if submit: | |
st.subheader("Answer:") | |
st.write(response) | |