app.py

import streamlit as st
from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer

# Load your model and tokenizer from Hugging Face
model_name = "orYx-models/finetuned-tiny-llama-medical-papers"
token = "Tinyllama_secret"  # Replace <your_token> with your actual Hugging Face API token
model = AutoModelForSequenceClassification.from_pretrained(model_name, token=token)
tokenizer = AutoTokenizer.from_pretrained(model_name, token=token)

# Define the pipeline with your model
pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)

text = st.text_area("Enter some text:")

if text:
    out = pipe(text)
    st.json(out)