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import gradio as gr |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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def formatOutput(modelOutput): |
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logits = modelOutput.get("logits") |
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rawScore = logits.tolist().pop().pop() |
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return f"{rawScore:.3f}" |
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def processInput(input): |
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model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-roberta-base-sadness-intensity") |
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tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-roberta-base-sadness-intensity") |
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tokens = tokenizer(input, return_tensors="pt") |
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outputs = model(**tokens) |
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return formatOutput(outputs) |
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app = gr.Interface(fn=processInput, inputs="text", outputs="text") |
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app.launch() |
