Update app.py

app.py

@@ -5,14 +5,14 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 token = os.getenv("hf_token")
 
 # Load the translation model and tokenizer from Hugging Face
-model_name = "robzchhangte/enmz-helsinki-case"
+model_name = "robzchhangte/enmz75-helcase"
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name, use_auth_token=token)
 tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=token)
 
 # Translation function with max_length=512
 def translate(text):
     inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
-    outputs = model.generate(inputs["input_ids"], max_length=512)  # Set max_length to 512
+    outputs = model.generate(inputs["input_ids"], max_length=512)
     translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return translated_text