import streamlit as st

st.title("Falcon7b Test")

import os
huggingfacehub_api_token = st.secrets["hf_token"]

from langchain import HuggingFaceHub, PromptTemplate, LLMChain

repo_id = "tiiuae/falcon-7b-instruct"
llm = HuggingFaceHub(huggingfacehub_api_token=huggingfacehub_api_token, 
                     repo_id=repo_id, 
                     model_kwargs={"temperature":0.2, "max_new_tokens":2000})

template = """
You are an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
{question}
"""

prompt = PromptTemplate(template=template, input_variables=["question"])
llm_chain = LLMChain(prompt=prompt,verbose=True,llm=llm)

def chat(query):

    result = llm_chain.predict(question=query)

    return result




def main():
    input = st.text_input("What are you curious about today ?", placeholder="Input your question here")
    if input:
        output = chat(input)
        st.write(output,unsafe_allow_html=True)


if __name__ == '__main__':
    main()