Update app.py

app.py

@@ -6,14 +6,26 @@ model_name = "cuneytkaya/fine-tuned-t5-small-turkish-mmlu"
 tokenizer = T5Tokenizer.from_pretrained(model_name)
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 
+
 def generate_answer(question):
     input_text = f"Soru: {question}"
+    
+    
     inputs = tokenizer(input_text, return_tensors="pt")
-    outputs = model.generate(**inputs)
+    
+    
+    outputs = model.generate(**inputs, max_length=50, num_beams=4, early_stopping=True)
+    
+    
     answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    
+    if "Cevap:" in answer:
+        return answer.split("Cevap:")[1].strip()
+    
     return answer
 
-# Gradio arayüzü
+
 interface = gr.Interface(
     fn=generate_answer,
     inputs="text",
@@ -22,4 +34,6 @@ interface = gr.Interface(
     description="This model answers questions from Turkish academic exams like KPSS, TUS, etc.",
 )
 
+
 interface.launch(share=True)
+