Aitana_6.3 / app.py
rsepulvedat's picture
change generate methods
f9714d0
import gradio as gr
from transformers import pipeline
import torch
import os
pipe = pipeline("text-generation", model="gplsi/Aitana-6.3B", torch_dtype=torch.bfloat16, device_map="auto",
token=os.environ['gplsi_models'])
def predict(input_text):
# generation = pipe(input_text, max_new_tokens=50, repetition_penalty=1.2, top_k=50, top_p=0.95, do_sample=True,
# temperature=0.5, early_stopping=True, num_beams=2)
generation = pipe(input_text, max_new_tokens=50, repetition_penalty=1.2, top_k=50, top_p=0.95, do_sample=True,
temperature=0.5)
return generation[0]
gradio_app = gr.Interface(
predict,
inputs='text',
outputs='text',
title="Aitana-6.3B Text Generation",
)
if __name__ == "__main__":
gradio_app.launch()