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import gradio as gr |
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import pandas as pd |
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from pyabsa import ATEPCCheckpointManager |
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aspect_extractor = ATEPCCheckpointManager.get_aspect_extractor(checkpoint='multilingual') |
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def inference(text): |
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result = aspect_extractor.extract_aspect(inference_source=[text], |
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pred_sentiment=True) |
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result = pd.DataFrame({ |
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'aspect': result[0]['aspect'], |
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'sentiment': result[0]['sentiment'], |
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'position': result[0]['position'] |
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}) |
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return result |
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if __name__ == '__main__': |
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iface = gr.Interface( |
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fn=inference, |
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inputs=["text"], |
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examples=[ |
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['Even though it is running Snow Leopard, 2.4 GHz C2D is a bit of an antiquated CPU and thus the occasional spinning ' |
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'wheel would appear when running Office Mac applications such as Word or Excel .'], |
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['从这门课程的内容丰富程度还有老师的授课及讨论区的答疑上来说，我都是很喜欢的。但是吧，我觉得每个章的内容太多了，三个学分的量就分在了上个章节三次小测'], |
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['Als je geen steak liefhebber bent is er een visalternatief, eend en lam aan aanvaardbare prijzen.'], |
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['سأوصي بالتأكيد بموقع المدينة القديمة إلا إنه عليك الحذر من الأسعار السياحية الأكثر ارتفاعاً'], |
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['Nous avons bien aimé l\'ambiance, sur la promenade principale de Narbonne-Plage, et la qualité du service.'], |
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['la calidad del producto, el servicio, el entorno todo fue excelente'], |
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['По поводу интерьера: место спокойное, шумных компаний нет (не было, по крайней мере, в момент нашего посещения), очень приятная и уютная атмосфера, все в лучших традициях.'], |
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['Yemekler iyi hos, lezzetler iyi ama heyecan verici bi taraflari yok, iyi bir baligi iyi bir sekilde izgara yapmak artik atla deve bi olay degil.'], |
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['このレストランのサービスはまあまあで,待ち時間は長かったが,料理はまずまずのものだった'], |
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['Die wartezeit war recht mittelmäßig, aber das Essen war befriedigend'], |
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['O serviço é médio, o tempo de espera é longo, mas os pratos são razoavelmente satisfatórios'], |
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['Dịch vụ của nhà hàng này rất trung bình và thời gian chờ đợi rất dài, nhưng món ăn thì khá là thỏa mãn'], |
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['Pelayanan di restoran biasa dan penantian yang lama, tetapi hasilnya cukup memuaskan'], |
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['This demo is trained on the public and community shared datasets from ABSADatasets (https://github.com/yangheng95/ABSADatasets),' |
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' please feel free to share your data to improve this work'], |
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['To fit on your data, please train our ATEPC models on your own data, see the PyABSA (https://github.com/yangheng95/PyABSA/tree/release/demos/aspect_term_extraction)'], |
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], |
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outputs="dataframe", |
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description='This demo is trained on the public and community shared datasets from ABSADatasets (https://github.com/yangheng95/ABSADatasets),' |
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' please feel free to share your data to improve this work, To fit on your data, please train our ATEPC models on your own data,' |
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' see the PyABSA (https://github.com/yangheng95/PyABSA/tree/release/demos/aspect_term_extraction)', |
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title='Multilingual Aspect Term Extraction for Short Texts (powered by PyABSA)' |
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) |
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iface.launch() |
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