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Create app.py
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app.py
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text = """Estimado Amazon, la semana pasada ped铆 una figura de acci贸n de \
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Optimus Prime de su tienda online en Alemania. Desafortunadamente, cuando abr铆 \
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el paquete descubr铆 con horror que me hab铆an enviado una figura de acci贸n de \
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Megatron en su lugar. Como enemigo de toda la vida de los Decepticons, espero \
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que puedan entender mi dilema. Para resolver el problema, exijo un intercambio \
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de Megatron por la figura de Optimus Prime que ped铆. Adjunto copias de mis \
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registros relacionados con esta compra. Espero tener noticias suyas pronto. \
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Sinceramente, Bumblebee."""
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mytext1="1. DECLARAR EXTINGUIDA LA ACCI脫N PENAL en este caso por cumplimiento de la suspensi贸n del proceso a prueba, y SOBRESEER a EZEQUIEL CAMILO MARCONNI, DNI 11.222.333, en orden a los delitos de lesiones leves agravadas, amenazas simples y agravadas por el uso de armas, en contra de Chuchita Perez de 50 a帽os."
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import gradio as gr
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from transformers import pipeline
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title = 'Spanish QA - Demo App'
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#context = "The Amazon rainforest (Portuguese: Floresta Amaz么nica or Amaz么nia; Spanish: Selva Amaz贸nica, Amazon铆a or usually Amazonia; French: For锚t amazonienne; Dutch: Amazoneregenwoud), also known in English as Amazonia or the Amazon Jungle, is a moist broadleaf forest that covers most of the Amazon basin of South America. This basin encompasses 7,000,000 square kilometres (2,700,000 sq mi), of which 5,500,000 square kilometres (2,100,000 sq mi) are covered by the rainforest. This region includes territory belonging to nine nations. The majority of the forest is contained within Brazil, with 60% of the rainforest, followed by Peru with 13%, Colombia with 10%, and with minor amounts in Venezuela, Ecuador, Bolivia, Guyana, Suriname, and French Guiana. States or departments in four nations contain 'Amazonas' in their names. The Amazon represents over half of the planet's remaining rainforests, and comprises the largest and most biodiverse tract of tropical rainforest in the world, with an estimated 390 billion individual trees divided into 16,000 species."
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context = text
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context2 = mytext1
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#question = "Which name is also used to describe the Amazon rainforest in English?"
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question = "驴Qu茅 quiere el cliente?"
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question2 = "驴Nombre completo de Chuchita?"
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#question_answerer = pipeline("question-answering", model='distilbert-base-cased-distilled-squad')
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question_answerer = pipeline("question-answering", model="mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es")
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#result = question_answerer(question = question, context=context)
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#return result['answer']
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.HTML("<h1>"+title+"</h1>")
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gr.Interface.from_pipeline(question_answerer,
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#title = title,
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#theme = "soft",
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examples = [[context, question], [context2, question2]]).launch()
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