Update app.py

app.py

@@ -10,7 +10,8 @@ all_langs = languagecodes.iso_languages
 # Language options as list, add favourite languages first
 options = list(favourite_langs.keys())
 options.extend(list(all_langs.keys()))
-models = ["Helsinki-NLP", "t5-base", "t5-small", "t5-large",
+models = ["Helsinki-NLP",
+          "t5-base", "t5-small", "t5-large",
           "facebook/nllb-200-distilled-600M",
           "facebook/nllb-200-distilled-1.3B",
           "facebook/mbart-large-50-many-to-many-mmt",
@@ -35,7 +36,7 @@ def eurollm(model_name, sl, tl, input_text):
     inputs = tokenizer(prompt, return_tensors="pt")
     outputs = model.generate(**inputs, max_new_tokens=512)
     output = tokenizer.decode(outputs[0], skip_special_tokens=True) 
-    result = output.rsplit(f'{tl}:')[-1].strip())
+    result = output.rsplit(f'{tl}:')[-1].strip()
     return result
 
 def nllb(model_name, sl, tl, input_text):
@@ -117,10 +118,10 @@ def swap_languages(src_lang, tgt_lang):
 
 def create_interface():
     with gr.Blocks() as interface:
-        gr.Markdown("### Machine Text Translation - maximum 512 tokens")
+        gr.Markdown("### Machine Text Translation")
 
         with gr.Row():
-            input_text = gr.Textbox(label="Enter text to translate:", placeholder="Type your text here...")
+            input_text = gr.Textbox(label="Enter text to translate:", placeholder="Type your text here, maximum 512 tokens")
         
         with gr.Row():
             sselected_language = gr.Dropdown(choices=options, value = options[0], label="Source language", interactive=True)