Update app.py

app.py

@@ -1,3 +1,5 @@
+!pip install torch transformers gradio
+
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 import gradio as gr
@@ -45,16 +47,17 @@ def respond(message, history, max_tokens, temperature, top_p):
 with gr.Blocks() as demo:
     gr.Markdown("## AIチャット")
     chatbot = gr.Chatbot()
-    msg = gr.Textbox(label="あなたのメッセージ")
+    msg = gr.Textbox(label="あなたのメッセージ", placeholder="ここにメッセージを入力...")
     max_tokens = gr.Slider(1, 2048, value=512, step=1, label="Max new tokens")
     temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature")
     top_p = gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
+    send_button = gr.Button("送信")
     clear = gr.Button("クリア")
 
     def clear_history():
         return [], []
 
-    msg.submit(respond, inputs=[msg, chatbot, max_tokens, temperature, top_p], outputs=[chatbot, chatbot])
+    send_button.click(respond, inputs=[msg, chatbot, max_tokens, temperature, top_p], outputs=[chatbot, chatbot])
     clear.click(clear_history, outputs=[chatbot])
 
 demo.launch()