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