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Update app.py
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app.py
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import gradio as gr
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from transformers import
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from gradio.mix import Parallel
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# Loading translation model
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translation_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_translation")
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translation_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_translation")
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# Loading summarization model
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summarization_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_summarization")
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summarization_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_summarization")
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def summarize(text):
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input_ids = summarization_tokenizer.encode(text, return_tensors="pt")
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output_ids = summarization_model.generate(input_ids)
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summary = summarization_tokenizer.decode(output_ids[0], skip_special_tokens=True)
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return summary
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# Building the gradio interface
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input_text = gr.inputs.Textbox(label="Input Text")
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summarization_output = gr.outputs.Textbox(label="Summarization Output")
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translation_output = gr.outputs.Textbox(label="Translation Output")
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gr.Interface(
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fn=Parallel(summarize, translate),
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inputs=input_text,
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outputs=[summarization_output, translation_output],
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title="Scientific Papers Text Summarization and Translation",
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description="Enter some text and get a summary and translation in Spanish."
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).launch()
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import gradio as gr
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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# Loading translation model
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translation_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_translation")
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translation_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_translation")
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translate = pipeline("text2text-generation", model=translation_model, tokenizer=translation_tokenizer)
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# Loading summarization model
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summarization_tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_summarization")
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summarization_model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_summarization")
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summarize = pipeline("text2text-generation", model=summarization_model, tokenizer=summarization_tokenizer)
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iface = gr.Interface(
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fn=gradio.mix.Parallel(summarize, translate),
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inputs=[
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gr.inputs.Textbox(lines=10, label="Input Text"),
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gr.inputs.Dropdown(choices=["summarize", "translate"], label="Task")
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],
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outputs=[
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gr.outputs.Textbox(label="Summary"),
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gr.outputs.Textbox(label="Translation")
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],
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)
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iface.launch()
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