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import gradio as gr
import transformers
from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
from transformers import GPT2Tokenizer, GPT2Model
model = GPT2Model.from_pretrained('micrem73/GePpeTto-finetuned-gastro-finetuned-bolo')
tokenizer = GPT2Tokenizer.from_pretrained(
'LorenzoDeMattei/GePpeTto',
)
shroom_generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('micrem73/GePpeTto-finetuned-gastro-finetuned-bolo'),
tokenizer='LorenzoDeMattei/GePpeTto',
do_sample=True,
max_length=100,
top_k=50,
top_p=0.95,
repetition_penalty=9.5,
temperature=1.3 )
def generator(inizia_la_storia = ''):
shroom_result = shroom_generator(inizia_la_storia, max_length=100)
return shroom_result[0]["generated_text"]
blog_inputs = gr.Textbox(lines=1, value="Mi è piaciuto molto entrare al museo che si raggiunge tramite uno stretto vicolo ")
iface = gr.Interface(fn=generator, inputs=blog_inputs, outputs="text")
iface.launch()
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