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