Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import gradio as gr
 from huggingface_hub import InferenceClient
 from gtts import gTTS
@@ -19,9 +18,16 @@ def respond(message, history):
         prompt += f"<|user|> {user_msg}\n<|assistant|> {bot_msg}\n"
     prompt += f"<|user|> {message}\n<|assistant|>"
 
-    response = client.text_generation(prompt, max_new_tokens=512, temperature=0.7, top_p=0.95, repetition_penalty=1.0, do_sample=True)
-    response = response.strip().split("<|assistant|>")[-1].strip()
+    response = client.text_generation(
+        prompt,
+        max_new_tokens=512,
+        temperature=0.7,
+        top_p=0.95,
+        repetition_penalty=1.0,
+        do_sample=True
+    )
 
+    response = response.strip().split("<|assistant|>")[-1].strip()
     history.append((message, response))
     audio_path = speak_text(response)
     return history, history, audio_path
@@ -29,14 +35,16 @@ def respond(message, history):
 with gr.Blocks() as demo:
     gr.Markdown("# Sambit AI 🤖")
     chatbot = gr.Chatbot([], label="Chat with AI", type="messages")
-    msg = gr.Textbox(label="Type your message here")
+    msg = gr.Textbox(label="Type your message here", placeholder="Ask me anything...", scale=7)
     audio_output = gr.Audio(label="AI Voice", interactive=False)
 
-    clear = gr.Button("Clear Chat")
+    clear = gr.Button("🧹 Clear Chat")
 
     state = gr.State([])
 
     msg.submit(respond, [msg, state], [chatbot, state, audio_output])
     clear.click(lambda: ([], [], None), None, [chatbot, state, audio_output])
 
+# ✅ Required to make it work on Hugging Face
 demo.launch()
+