Create app.py

app.py

@@ -0,0 +1,12 @@
+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]['label']
+    
+iface = gr.Interface(fn=greet, inputs=gr.inputs.Textbox(placeholder="Lütfen Cümle Giriniz...", lines=5), outputs="Sonuc")
+iface.launch()