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initial version of the application
Browse files- app.py +14 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from transformers import pipeline
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# Load pre-trained model and tokenizer from Hugging Face
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model_name = "aubmindlab/bert-base-arabertv02-twitter"
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sentiment_analysis = pipeline("sentiment-analysis", model=model_name)
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def analyze_sentiment(text):
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result = sentiment_analysis(text)
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return result
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# Define Gradio interface
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iface = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text", title="Arabic Sentiment Analysis")
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iface.launch()
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requirements.txt
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transformers
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torch
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gradio
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