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import gradio as gr | |
from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
# Load pre-trained model | |
tokenizer = GPT2Tokenizer.from_pretrained("gpt2") | |
model = GPT2LMHeadModel.from_pretrained("gpt2") | |
def generate_text(prompt): | |
inputs = tokenizer.encode(prompt, return_tensors="pt") | |
outputs = model.generate(inputs, max_length=150, num_return_sequences=1, temperature=0.7) | |
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
return generated_text | |
iface = gr.Interface(fn=generate_text, inputs="text", outputs="text") | |
iface.launch() | |