Spaces:
Runtime error
Runtime error
File size: 1,252 Bytes
f863056 f1201a9 f372d1e ede33c6 f372d1e 54e1be2 82c02cc db924a3 54e1be2 f1201a9 54e1be2 82c02cc |
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 |
import gradio as gr
from gradio import Textbox, Slider
from transformers import GPT2LMHeadModel, GPT2Tokenizer
# Initialisierung des Modells und des Tokenizers
tokenizer = GPT2Tokenizer.from_pretrained("Loewolf/GPT_1")
model = GPT2LMHeadModel.from_pretrained("Loewolf/GPT_1")
def generate_text(prompt, max_length, temperature, top_k, top_p):
inputs = tokenizer.encode(prompt, return_tensors="pt")
outputs = model.generate(inputs,
max_length=max_length,
temperature=temperature,
top_k=top_k,
top_p=top_p,
num_return_sequences=1)
text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return text
iface = gr.Interface(
fn=generate_text,
inputs=[
Textbox(lines=2, placeholder="Geben Sie einen Prompt ein..."),
Slider(minimum=10, maximum=100, default=50, label="Maximale Länge"),
Slider(minimum=0.1, maximum=1.0, step=0.1, default=0.7, label="Temperatur"),
Slider(minimum=0, maximum=50, default=20, label="Top K"),
Slider(minimum=0.0, maximum=1.0, step=0.1, default=0.9, label="Top P")
],
outputs="text"
)
iface.launch()
|