Update app.py

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
 from transformers import BlenderbotSmallTokenizer, BlenderbotSmallForConditionalGeneration
 
-# --- Load model and tokenizer ---
+
 model_name = "facebook/blenderbot-90M"
 tokenizer = BlenderbotSmallTokenizer.from_pretrained(model_name)
 model = BlenderbotSmallForConditionalGeneration.from_pretrained(model_name)
 
-# --- Define chatbot logic ---
+
 def chat_with_bot(message, history):
     if not message:
         return "Hi there! 👋 Ask me something to get started."
 
-    # Rebuild conversation context
+   
     conversation = ""
     if history:
         for turn in history:
@@ -24,7 +24,7 @@ def chat_with_bot(message, history):
 
     conversation += f"User: {message}\nBot:"
 
-    # Tokenize input and generate reply
+   
     inputs = tokenizer(
         conversation,
         return_tensors="pt",
@@ -36,12 +36,12 @@ def chat_with_bot(message, history):
     reply = tokenizer.decode(reply_ids[0], skip_special_tokens=True)
     return reply
 
-# --- Define welcome message ---
+
 initial_message = [
     {"role": "assistant", "content": "👋 Hello! I’m your chatbot. Ask me anything to start our conversation!"}
 ]
 
-# --- Create Gradio Interface ---
+
 demo = gr.ChatInterface(
     fn=chat_with_bot,
     title="🤖 Mini Chatbot (Facebook BlenderBot-90M)",
@@ -51,6 +51,6 @@ demo = gr.ChatInterface(
     examples=["Hello!", "Tell me a fun fact", "How are you today?"],
 )
 
-# --- Launch App ---
+
 if __name__ == "__main__":
     demo.launch(share=True)