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import gradio as gr | |
from transformers import pipeline | |
fine_tuned_model = "Amitesh007/text_generation-finetuned-gpt2" | |
def generate(text): | |
generator = pipeline('text-generation', model=fine_tuned_model) | |
result = generator(text, num_return_sequences=2, | |
max_length=100 | |
) | |
return result[0]["generated_text"],result[1]["generated_text"] | |
Examples = [["A light snow had fallen the night before, and there were"],["The pig face had been smashed in with a mace, but Tyrion"]] | |
demo = gr.Interface( | |
fn=generate, | |
inputs=[gr.Textbox(lines=5, label="Input Text here....")], | |
outputs=[ | |
gr.Textbox(label="Generated Text 1"), | |
gr.Textbox(label="Generated Text 2") | |
], | |
title = "Text Generator GPT2 Pipeline", | |
description = "this is a fine-tuned base gpt2 model inference, trained on a small 'game of thrones' dataset", | |
examples = Examples | |
) | |
demo.queue(concurrency_count=2) | |
demo.launch() |