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Create app.py

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  1. app.py +20 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ model = pipeline("token-classification", model="benchaffe/Bert-RAdam-Large", aggregation_strategy="simple")
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+
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+ def predict(text):
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+ result = model(text)
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+ with open("log.jsonl", "a") as f:
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+ import json
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+ from datetime import datetime
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+ log_entry = {
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+ "timestamp": datetime.now().isoformat(),
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+ "input": text,
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+ "prediction": result
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+ }
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+ f.write(json.dumps(log_entry) + "\n")
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+ return result
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+
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+ interface = gr.Interface(fn=predict, inputs="text", outputs="json", title="Abbreviation Detector")
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+ interface.launch()