Update app.py

app.py

@@ -1,31 +1,21 @@
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import gradio as gr
-
-# Load the pre-trained model and tokenizer
 model_ckpt = "booba-uz/english-uzbek-translation_v1"
 tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_ckpt)
-
-# Set source and target languages for the tokenizer
 tokenizer.src_lang = "en"
 tokenizer.tgt_lang = "uz"
-
-# Define the translation function
 def translator(input_text):  
+    if not input_text.strip() or len(input_text)<=2:
+      return "Iltimos Gap kiriting"
     inputs = tokenizer(input_text, return_tensors="pt")
     outputs = model.generate(**inputs, max_length=256)
     translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return translated_text
-
-# Reset function for canceling the input
-def reset_input():
-    return "",  # Reset input text
-
-# Create Gradio interface with Submit and Cancel buttons
 demo = gr.Interface(
     fn=translator, 
     inputs="text", 
     outputs="text",
 )
 
-demo.launch(debug=True)
+demo.launch(debug=True)