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import streamlit as st
from langchain.llms import HuggingFaceHub
import os
st.set_page_config(page_title="Educational Chatbot")
st.title("๐ Educational Chatbot")
user_input = st.text_input("Ask me anything:")
if "history" not in st.session_state:
st.session_state.history = []
if user_input:
try:
llm = HuggingFaceHub(
repo_id="tiiuae/falcon-7b-instruct",
huggingfacehub_api_token=os.environ.get("HUGGINGFACEHUB_API_TOKEN"),
model_kwargs={"temperature": 0.5, "max_new_tokens": 100}
)
response = llm(user_input)
st.session_state.history.append(("You", user_input))
st.session_state.history.append(("Bot", response))
except Exception as e:
st.error(f"โ ๏ธ Error: {e}")
for sender, msg in reversed(st.session_state.history):
st.markdown(f"**{sender}:** {msg}")
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