| import gradio as gr | |
| from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline | |
| model = AutoModelForSequenceClassification.from_pretrained("savasy/bert-base-turkish-sentiment-cased") | |
| tokenizer = AutoTokenizer.from_pretrained("savasy/bert-base-turkish-sentiment-cased") | |
| def greet(text): | |
| pipe = pipeline("sentiment-analysis", tokenizer=tokenizer, model=model) | |
| return pipe(text)[0] | |
| iface = gr.Interface(fn=greet, inputs=gr.inputs.Textbox(placeholder="Lütfen Cümle Giriniz...", lines=5), outputs="text") | |
| iface.launch() |