app.py

import gradio as gr
from gradio import Textbox, Slider
from transformers import GPT2LMHeadModel, GPT2Tokenizer

# Initialisierung des Modells und des Tokenizers
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = GPT2LMHeadModel.from_pretrained("gpt2")

def generate_text(prompt, max_length, temperature, top_k, top_p):
    # [Ihr Code zur Textgenerierung hier]

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()