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Runtime error
Runtime error
| import gradio as gr | |
| from transformers import pipeline | |
| from transformers import pipeline | |
| import re | |
| dante = pipeline('text-generation',model='.', tokenizer='GroNLP/gpt2-small-italian-embeddings') | |
| def grammatical_cleaning(generated: str) -> str: | |
| generated = re.sub("\.[^\s]",". ", generated) | |
| generated = re.sub("\,[^\s]",", ", generated) | |
| generated = re.sub("\;[^\s]","; ", generated) | |
| generated = re.sub("\:[^\s]",": ", generated) | |
| generated = re.sub("\![^\s]","! ", generated) | |
| generated = list(generated) | |
| for n in range(len(generated)-2): | |
| if generated[n]=="." or generated[n]=="?": | |
| if generated[n+1].islower() and generated[n+1].isalpha(): | |
| generated[n+1] = generated[n+1].upper() | |
| elif generated[n+2].islower() and generated[n+2].isalpha(): | |
| generated[n+2] = generated[n+2].upper() | |
| return ''.join(generated) | |
| def get_text(input): | |
| generated = dante(input, max_length=128)[0]['generated_text'] | |
| generated = grammatical_cleaning(generated) | |
| return generated | |
| inp = input() | |
| print(get_text(inp)) | |
| #iface = gr.Interface(fn=get_text, inputs="text", outputs="text") | |
| #iface.launch() |