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