Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Sentence Generation.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1CCrgBdR2KiN0N7L8RXBaLrEZ7QJjFP4k
+"""
+
+!pip install -q gradio
+!pip install -q git+https://github.com/huggingface/transformers.git
+
+import gradio as gr
+import tensorflow as tf
+from transformers import TFGPT2LMHeadModel,GPT2Tokenizer
+
+tokenizer = GPT2Tokenizer.from_pretrained ("gpt2")
+model = TFGPT2LMHeadModel.from_pretrained ("gpt2" ,pad_token_id=tokenizer.eos_token_id)
+
+def generate_text(input_Prompt):
+    input_ids = tokenizer.encode(input_Prompt, return_tensors='tf')
+    beam_output = model.generate(input_ids, max_length=100, num_beams=5, no_repeat_ngram_size=2, early_stopping=False)
+    output = tokenizer.decode(beam_output[0], skip_special_tokens=True, clean_up_tokenization_spaces=True)
+    return ".".join(output.split(".")[:-1]) + "."
+
+output_text = gr.Textbox()
+
+gr. Interface(generate_text,"textbox", output_text, title="GPT-2",
+
+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()