Update app.py

app.py

@@ -1,9 +1,11 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-import json
-import os
 
+"""
+For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+"""
 client = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
+#応答部分
 
 def respond(
     message,
@@ -37,69 +39,28 @@ def respond(
         response += token
         yield response
 
-def load_rooms():
-    if os.path.exists("rooms.json"):
-        with open("rooms.json", "r", encoding="utf-8") as f:
-            return json.load(f)
-    return {}
 
-def save_rooms(rooms):
-    with open("rooms.json", "w", encoding="utf-8") as f:
-        json.dump(rooms, f, ensure_ascii=False, indent=4)
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+#インターフェース
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="ユーザーの応答と依頼に答えてください。ポジティブに", label="システムメッセージ"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="新規トークン最大"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="温度"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (核 sampling)",
+        ),
+    ],
+    concurrency_limit=30  # 例: 同時に4つのリクエストを処理
+)
 
-def create_room(rooms, room_name):
-    if room_name not in rooms:
-        rooms[room_name] = []
-    save_rooms(rooms)
-    return rooms
-
-def switch_room(room_name, rooms):
-    return rooms.get(room_name, [])
-
-def add_message_to_room(room_name, rooms, message, response):
-    if room_name in rooms:
-        rooms[room_name].append((message, response))
-        save_rooms(rooms)
-
-def chat_interface(room_name, rooms, message, history, system_message, max_tokens, temperature, top_p):
-    response = list(respond(message, history, system_message, max_tokens, temperature, top_p))[-1]
-    add_message_to_room(room_name, rooms, message, response)
-    return response, history + [(message, response)]
-
-def main():
-    rooms = load_rooms()
-    room_names = list(rooms.keys())
-    with gr.Blocks() as demo:
-        with gr.Row():
-            with gr.Column():
-                room_name_dropdown = gr.Dropdown(room_names, label="会話部屋", value=room_names[0] if room_names else None)
-                new_room_name = gr.Textbox(label="新しい会話部屋の名前")
-                create_room_button = gr.Button("新しい会話部屋を作成")
-                create_room_button.click(
-                    fn=lambda name, r: (create_room(r, name), name, switch_room(name, r)),
-                    inputs=[new_room_name, gr.State(rooms)],
-                    outputs=[room_name_dropdown, room_name_dropdown, gr.Chatbot]
-                )
-                room_name_dropdown.change(
-                    fn=lambda name, r: (switch_room(name, r),),
-                    inputs=[room_name_dropdown, gr.State(rooms)],
-                    outputs=[gr.Chatbot]
-                )
-            with gr.Column(scale=3):
-                chatbot = gr.Chatbot(label="会話")
-                message = gr.Textbox(label="メッセージ")
-                system_message = gr.Textbox(value="あなたは親切なチャットボットでありQwenというLLMです。", label="システムメッセージ")
-                max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="新規トークン最大")
-                temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="温度")
-                top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (核 sampling)")
-                submit_button = gr.Button("送信")
-                submit_button.click(
-                    fn=chat_interface,
-                    inputs=[room_name_dropdown, gr.State(rooms), message, chatbot, system_message, max_tokens, temperature, top_p],
-                    outputs=[chatbot, chatbot]
-                )
-
-    demo.launch()
 
 if __name__ == "__main__":
-    main()
+    demo.launch()