Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 from datasets import load_dataset
 imdb = load_dataset("imdb")
 
-from transformers import AutoTokenizer
+from transformers import AutoTokenizer, pipeline
 tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
 
 def preprocess_function(examples):
@@ -36,4 +36,11 @@ trainer = Trainer(
     data_collator=data_collator,
 )
 
-trainer.train()
+trainer.train()
+
+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="text")
+iface.launch()