app.py

import gradio as gr
from transformers import pipeline
import numpy as np
import pandas as pd
from sentence_transformers import SentenceTransformer, util
import nltk
from nltk import sent_tokenize
nltk.download("punkt")

krishnamurti_generator =  pipeline("text-generation", model="huggingtweets/nickelodeon")
# stoic_generator = pipeline("text-generation", model="eliwill/stoic-generator-10e")

 ############### BUILDING DEMO ################################
with gr.Blocks() as demo:
    gr.Markdown("""
    # Ask a Philsopher
    """
    )

demo.launch()