| import gradio as gr | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer | |
| def processInput(data): | |
| model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/twitter-roberta-base-fear-intensity") | |
| tokenizer = AutoTokenizer.from_pretrained("garrettbaber/twitter-roberta-base-fear-intensity") | |
| inputs = tokenizer("I'm scared", return_tensors="pt") | |
| outputs = model(**inputs) | |
| return outputs | |
| app = gr.Interface(fn=processInput, inputs="text", outputs="text") | |
| app.launch() |