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import gradio as gr
import transformers
from transformers import AutoModelForCausalLM, AutoModelWithLMHead, AutoTokenizer, pipeline
from transformers import GPT2Tokenizer, GPT2Model
general_model = AutoModelForCausalLM.from_pretrained('gpt2')
general_generator = pipeline("text-generation", model=general_model, tokenizer="gpt2")
general_result = general_generator("Today is ", max_length=200)
general_result[0]["generated_text"]
def generator(start_your_text = ''):
result = general_generator(start_your_text)
return result[0]["generated_text"]
iface = gr.Interface(fn=generator, inputs="text", outputs="text")
iface.launch() |