app.py

'''
import streamlit as st
from transformers import pipeline

pipe = pipeline('sentiment-analysis')
text = ('enter some text:')

if text:
    out = pipe(text)
    st.json(out)
'''
from transformers import pipeline
import torch

model_name = "abacusai/Smaug-72B-v0.1"

pipe = pipeline("text-generation")

# Prompting the user for input text
input_text = "Tell me about yourself"

# Generating text based on the input
# Adjust parameters like max_length according to your needs
generated_texts = pipe(input_text, max_length=50, num_return_sequences=1)

# Displaying the generated text
# Assuming we only want the first generated sequence for simplicity
print("Generated text:")
for generated_text in generated_texts:
    print(generated_text['generated_text'])