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| pip install gradio happytransformer | |
| import gradio as gr | |
| from transformers import pipeline | |
| from happytransformer import HappyTextToText, TTSettings | |
| def translate(language_1, language_2, message): | |
| translator = pipeline(f"translation", model="Helsinki-NLP/opus-mt-{}-{}".format(language_1, language_2)) | |
| output = translator(message) | |
| return output[0]['translation_text'] | |
| def summarize(text): | |
| summerizer = pipeline("summarization", model="facebook/bart-large-cnn") | |
| output = summerizer(text) | |
| return output[0]['summary_text'] | |
| def question(question, context): | |
| question_model = pipeline("question-answering", model="deepset/roberta-base-squad2") | |
| output = question_model({ | |
| 'question': question, | |
| 'context' : context | |
| }) | |
| return output['answer'] | |
| def grammar(user_input): | |
| grammar_model = HappyTextToText("T5", "vennify/t5-base-grammar-correction") | |
| args = TTSettings(num_beams=5, min_length=1) | |
| output = grammar_model.generate_text('grammar: ' + user_input, args=args) | |
| return output.text | |
| def mask(text): | |
| mask_model = pipeline("fill-mask", model="google-bert/bert-base-uncased") | |
| output = mask_model(text) | |
| return output[0]['sequence'] | |
| def multi_model(text): | |
| mask_model = mask(text) | |
| summerize_model = summarize(mask_model) | |
| question_model = question('Is this text about politics?', summerize_model) | |
| translation_model = translate('en', 'nl', question_model) | |
| grammar_model = grammar(translation_model) | |
| return grammar_model | |
| with gr.Blocks() as demo: | |
| gr.Markdown("Technology 2 - Ai interfaces") | |
| #tab single model | |
| with gr.Tab("Single-Models"): | |
| with gr.Row(equal_height=True): | |
| #column left (1) | |
| with gr.Column(scale=1): | |
| choice1 = gr.Dropdown( | |
| choices=["nl", "fr", "en"], | |
| label="Select an option") | |
| choice2 = gr.Dropdown( | |
| choices=["nl", "fr", "en"], | |
| label="Select an option") | |
| textbox = gr.Textbox(label="message") | |
| translate_btn = gr.Button("Translate") | |
| translated_box = gr.Textbox() | |
| translate_btn.click(fn=translate, | |
| inputs=[choice1, choice2, textbox], | |
| outputs=translated_box ) | |
| #column right (2) | |
| with gr.Column(scale=1): | |
| textbox_summary = gr.Textbox(label="text you want to summarize") | |
| textbox_summary_output = gr.Textbox() | |
| summary_btn = gr.Button('summarize') | |
| summary_btn.click(fn=summarize, | |
| inputs=textbox_summary, | |
| outputs=textbox_summary_output) | |
| with gr.Column(scale=1): | |
| textbox_question = gr.Textbox(label = 'question') | |
| textbox_context = gr.Textbox(label = 'context') | |
| textbox_question_output = gr.Textbox() | |
| question_btn = gr.Button("Get your Answer") | |
| question_btn.click(fn=question, | |
| inputs=[textbox_question, textbox_context], | |
| outputs = textbox_question_output) | |
| with gr.Column(scale=1): | |
| textbox_mask = gr.Textbox(label="Give me a sentance and use the word [MASK] to predict what will go there") | |
| mask_button = gr.Button("Generate") | |
| textbox_mask_output = gr.Textbox() | |
| mask_button.click(fn=mask, | |
| inputs = textbox_mask, | |
| outputs = textbox_mask_output) | |
| with gr.Column(scale=1): | |
| textbox_grammar = gr.Textbox(label="I will correct your grammar mistakes.") | |
| grammar_button = gr.Button("Fix grammar") | |
| textbox_grammar_output = gr.Textbox() | |
| grammar_button.click(fn=grammar, | |
| inputs=textbox_grammar, | |
| outputs=textbox_grammar_output) | |
| #tab mulit model | |
| with gr.Tab("Multi-Models"): | |
| textblock = gr.Textbox(label="give me a sentence and replace some words with [MASK] and i will summerize and translate it for your") | |
| btn1 = gr.Button("START") | |
| response = gr.Textbox() | |
| btn1.click(fn=multi_model, inputs = textblock, outputs=response) | |
| demo.launch(debug=True) |