Update app.py

app.py

@@ -2,14 +2,11 @@ import torch
 from transformers import BartForConditionalGeneration, BartTokenizer
 import gradio as gr
 
- 
-
 # Load the fine-tuned model and tokenizer
 model_path = "difinative/AIBuddy"  # Path to the pretrained fine-tuned model
 model = BartForConditionalGeneration.from_pretrained(model_path)
 tokenizer = BartTokenizer.from_pretrained(model_path)
 
- 
 # Translate function using the fine-tuned model
 def translate_instruction(context, input_text):
     full_input = context + " " + input_text
@@ -19,7 +16,6 @@ def translate_instruction(context, input_text):
     translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return translated_text
 
-    
 # Gradio Interface
 iface = gr.Interface(
     fn=translate_instruction,
@@ -40,12 +36,8 @@ iface = gr.Interface(
             <li>Kubernetes -> Show the pods running in the 'testing' namespace?</li>
             <li>Docker -> What command should I use to get the list of containers?</li>
         </ul>
-        </div>"
-    #examples_style = {"textAlign": "left"}
-    #examples_align = "left"
+        </div>"""
 )
 
- 
-
 # Launch the Gradio app using Ngrok
-iface.launch()
+iface.launch()