Update app.py
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app.py
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import gradio as gr
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# app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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# Load the model from Hugging Face Model Hub
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model_name = "SamLowe/roberta-base-go_emotions"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSequenceClassification.from_pretrained(model_name)
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def predict_emotion(text):
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model(**inputs)
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logits = outputs.logits
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predicted_class = logits.argmax().item()
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return {"emotion_label": predicted_class}
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iface = gr.Interface(
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fn=predict_emotion,
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inputs=gr.Textbox(),
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outputs="label",
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live=True,
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title="Emotion Prediction",
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description="Enter a sentence for emotion prediction.",
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)
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iface.launch()
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