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musharafnasim
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Upload sentence_generation.py
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sentence_generation.py
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# -*- coding: utf-8 -*-
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"""Sentence Generation.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1CCrgBdR2KiN0N7L8RXBaLrEZ7QJjFP4k
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"""
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!pip install -q gradio
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!pip install -q git+https://github.com/huggingface/transformers.git
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import gradio as gr
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import tensorflow as tf
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from transformers import TFGPT2LMHeadModel,GPT2Tokenizer
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tokenizer = GPT2Tokenizer.from_pretrained ("gpt2")
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model = TFGPT2LMHeadModel.from_pretrained ("gpt2" ,pad_token_id=tokenizer.eos_token_id)
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def generate_text(input_Prompt):
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input_ids = tokenizer.encode(input_Prompt, return_tensors='tf')
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beam_output = model.generate(input_ids, max_length=100, num_beams=5, no_repeat_ngram_size=2, early_stopping=False)
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output = tokenizer.decode(beam_output[0], skip_special_tokens=True, clean_up_tokenization_spaces=True)
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return ".".join(output.split(".")[:-1]) + "."
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output_text = gr.Textbox()
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gr. Interface(generate_text,"textbox", output_text, title="GPT-2",
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description="OpenAI's GPT-2 is an unsupervised language model that \ can generate coherent text. Go ahead and input a sentence and see what it completes \ it with! Takes around 20s to run.").launch()
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