Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import BlenderbotTokenizer, BlenderbotForConditionalGeneration
 
-# ✅ Correct model (public and supported)
+# ✅ Use the correct and public model
 model_name = "facebook/blenderbot-90M"
 tokenizer = BlenderbotTokenizer.from_pretrained(model_name)
 model = BlenderbotForConditionalGeneration.from_pretrained(model_name)
@@ -26,12 +26,12 @@ def chat_with_bot(messages, state):
 
     conversation = f"{state}User: {user_input}\nBot:"
 
-    # ✅ FIX: Add padding & truncation for safety
+    # ✅ FIX: Pass plain string (no nested list)
     inputs = tokenizer(
         conversation,
         return_tensors="pt",
-        padding=True,
         truncation=True,
+        padding='max_length',
         max_length=512,
     )
 
@@ -40,14 +40,13 @@ def chat_with_bot(messages, state):
 
     new_state = f"{conversation} {reply}\n"
     messages.append({"role": "assistant", "content": reply})
-
     return messages, new_state
 
-# --- Gradio Chat Interface ---
+# --- Gradio Interface ---
 demo = gr.ChatInterface(
     fn=chat_with_bot,
-    title="🤖 Mini Chatbot (BlenderBot-90M)",
-    description="Hey 👋 I’m a small conversational chatbot powered by Facebook’s BlenderBot-90M.",
+    title="🤖 Mini Chatbot (Facebook BlenderBot-90M)",
+    description="Hi 👋 I’m a conversational chatbot built with Facebook’s BlenderBot-90M model.",
     theme="soft",
     type="messages",
 )