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Create app.py
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app.py
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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import gradio as gr
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tokenizer = AutoTokenizer.from_pretrained(
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"finiteautomata/beto-sentiment-analysis")
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model = AutoModelForSequenceClassification.from_pretrained(
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"finiteautomata/beto-sentiment-analysis")
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classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
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from pysentimiento import create_analyzer
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analyzer = create_analyzer(task="sentiment", lang="es")
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def get_sentiment(input_text):
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return analyzer.predict(input_text)
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iface = gr.Interface(fn=get_sentiment,
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inputs="text",
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outputs=["text"],
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description = "Importante colocar solo una oración en español, puede contener emoji😎, para mas info @cesarriat",
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title="Analisis de Sentimiento en Español ")
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iface.launch(inline=False)
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