Spaces:
Runtime error
Runtime error
File size: 1,814 Bytes
4fdd156 5e40a0a 4fdd156 d6defb5 4fdd156 68edb67 4fdd156 68edb67 4fdd156 68edb67 4fdd156 68edb67 4fdd156 68edb67 4fdd156 68edb67 4fdd156 68edb67 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
import streamlit as st
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import torch
def app():
st.title('GPT-2 Text Generator')
st.write('This is the GPT-2 text generator page.')
DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model_path = "zhvanetsky_model"
tokenizer = GPT2Tokenizer.from_pretrained(model_path)
model = GPT2LMHeadModel.from_pretrained(model_path).to(DEVICE)
def generate_text(input_text, num_beams, temperature, max_length, top_p):
model.eval()
input_ids = tokenizer.encode(input_text, return_tensors="pt").to(DEVICE)
with torch.no_grad():
out = model.generate(input_ids,
do_sample=True,
num_beams=num_beams,
temperature=temperature,
top_p=top_p,
top_k=500,
max_length=max_length,
no_repeat_ngram_size=3,
num_return_sequences=3,
)
return tokenizer.decode(out[0], skip_special_tokens=True)
# Streamlit interface
st.title("GPT-2 Text Generator")
user_input = st.text_area("Input Text", "Введите ваш текст")
# Add sliders or input boxes for model parameters
num_beams = st.slider("Number of Beams", min_value=1, max_value=20, value=10)
temperature = st.slider("Temperature", min_value=0.1, max_value=3.0, value=1.0, step=0.1)
max_length = st.number_input("Max Length", min_value=10, max_value=300, value=100)
top_p = st.slider("Top P", min_value=0.1, max_value=1.0, value=0.85, step=0.05)
if st.button("Generate"):
generated_output = generate_text(user_input, num_beams, temperature, max_length, top_p)
st.text_area("Generated Text", generated_output)
|