Update app.py
Browse files
app.py
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@@ -2,23 +2,26 @@ import os
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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if os.path.exists(
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with open(
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return json.load(f)
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return []
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with open(
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json.dump(chats, f, ensure_ascii=False, indent=2)
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# Função principal do chat
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def respond(message, history: list[dict[str, str]], saved_chats):
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client = InferenceClient(token=os.environ["HF_TOKEN"], model="openai/gpt-oss-20b")
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system_message = """
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@@ -45,34 +48,40 @@ If someone asks what you are, clarify politely that you are BitAI, an AI chatbot
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response += token
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yield response
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#
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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# Atualiza o histórico e salva no arquivo
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saved_chats[-1] = history
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save_chats(saved_chats)
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saved_chats.append([])
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save_chats(saved_chats)
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return saved_chats, len(saved_chats) - 1, []
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def select_chat(index, saved_chats):
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# Seleciona um chat pelo índice
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if 0 <= index < len(saved_chats):
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return saved_chats[index], f"Chat {index+1} carregado!"
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return [], "Índice inválido."
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with gr.Blocks(css="""
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/*
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body, .gr-blocks {
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background-color: #1a1a1a !important;
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color: white;
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}
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/* Sidebar */
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.sidebar {
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background-color: #111;
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padding: 10px;
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@@ -80,7 +89,6 @@ body, .gr-blocks {
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height: 100vh;
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overflow-y: auto;
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}
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.sidebar button {
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display: block;
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width: 100%;
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@@ -97,13 +105,10 @@ body, .gr-blocks {
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.sidebar button:hover {
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background-color: #444;
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}
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/* Chat */
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.gr-chat-interface {
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border-radius: 20px !important;
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border: 2px solid #333 !important;
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background-color: #1a1a1a !important;
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color: white;
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}
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textarea {
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height: 40px !important;
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@@ -116,36 +121,39 @@ textarea {
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}
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""") as demo:
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current_index = gr.State(0)
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with gr.Row():
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with gr.Column(scale=0.3, elem_classes="sidebar"):
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gr.HTML("<h3>💬 Histórico</h3>")
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chat_list = gr.Column()
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new_chat_btn = gr.Button("➕ Novo Chat")
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with gr.Column(scale=1):
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gr.HTML("<h2 style='text-align:center; color:white'>BitAI</h2>")
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chatbot = gr.ChatInterface(fn=respond, type="messages", additional_inputs=[saved_chats])
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status = gr.Textbox(label="Status", interactive=False)
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def update_chat_list(saved_chats):
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return [
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gr.Button.update(value=f"Chat {i+1}") for i in range(len(saved_chats))
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]
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#
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#
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new_chat_btn.click(new_chat, [saved_chats], [saved_chats, current_index, chatbot.chatbot]).then(
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update_chat_list, saved_chats, chat_list
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)
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#
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for i in range(20):
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btn = gr.Button(f"Chat {i+1}", visible=False)
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btn.click(select_chat, [gr.State(i), saved_chats], [chatbot.chatbot, status])
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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import uuid # gera IDs únicos
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# Funções pra salvar/carregar o histórico do usuário
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def get_user_file(user_id):
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return f"bitai_user_{user_id}.json"
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def load_saved_chats(user_id):
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path = get_user_file(user_id)
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if os.path.exists(path):
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with open(path, "r", encoding="utf-8") as f:
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return json.load(f)
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return []
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def save_chats(user_id, chats):
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path = get_user_file(user_id)
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with open(path, "w", encoding="utf-8") as f:
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json.dump(chats, f, ensure_ascii=False, indent=2)
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# Função principal do chat
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def respond(message, history: list[dict[str, str]], saved_chats, user_id):
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client = InferenceClient(token=os.environ["HF_TOKEN"], model="openai/gpt-oss-20b")
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system_message = """
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response += token
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yield response
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# salva automático
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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saved_chats[-1] = history
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save_chats(user_id, saved_chats)
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# Criar novo chat
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def new_chat(saved_chats, user_id):
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saved_chats.append([])
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save_chats(user_id, saved_chats)
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return saved_chats, len(saved_chats) - 1, []
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# Selecionar chat existente
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def select_chat(index, saved_chats):
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if 0 <= index < len(saved_chats):
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return saved_chats[index], f"Chat {index+1} carregado!"
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return [], "Índice inválido."
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# Inicialização do usuário
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def start_session(username):
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# gera ID fixo pro nome, ou aleatório se em branco
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user_id = username.strip().replace(" ", "_") if username else str(uuid.uuid4())[:8]
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chats = load_saved_chats(user_id)
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if not chats:
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chats = [[]]
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save_chats(user_id, chats)
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return user_id, chats, len(chats) - 1
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with gr.Blocks(css="""
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/* Sidebar e chat estilo escuro */
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body, .gr-blocks {
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background-color: #1a1a1a !important;
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color: white;
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}
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.sidebar {
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background-color: #111;
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padding: 10px;
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height: 100vh;
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overflow-y: auto;
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}
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.sidebar button {
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display: block;
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width: 100%;
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.sidebar button:hover {
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background-color: #444;
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}
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.gr-chat-interface {
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border-radius: 20px !important;
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border: 2px solid #333 !important;
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background-color: #1a1a1a !important;
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}
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textarea {
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height: 40px !important;
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}
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""") as demo:
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user_id = gr.State("")
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saved_chats = gr.State([])
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current_index = gr.State(0)
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with gr.Row():
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with gr.Column(scale=0.3, elem_classes="sidebar") as sidebar:
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gr.HTML("<h3>💬 Histórico</h3>")
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chat_list = gr.Column()
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new_chat_btn = gr.Button("➕ Novo Chat")
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with gr.Column(scale=1):
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gr.HTML("<h2 style='text-align:center; color:white'>BitAI</h2>")
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chatbot = gr.ChatInterface(fn=respond, type="messages", additional_inputs=[saved_chats, user_id])
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status = gr.Textbox(label="Status", interactive=False)
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username_input = gr.Textbox(label="Seu nome (opcional):")
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start_btn = gr.Button("Iniciar Chat")
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def update_chat_list(saved_chats):
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return [gr.Button.update(value=f"Chat {i+1}") for i in range(len(saved_chats))]
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# Inicia sessão
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start_btn.click(start_session, username_input, [user_id, saved_chats, current_index]).then(
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update_chat_list, saved_chats, chat_list
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)
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# Criar novo chat
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new_chat_btn.click(new_chat, [saved_chats, user_id], [saved_chats, current_index, chatbot.chatbot]).then(
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update_chat_list, saved_chats, chat_list
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)
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# Simula botões pros chats (20 máx)
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for i in range(20):
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btn = gr.Button(f"Chat {i+1}", visible=False)
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btn.click(select_chat, [gr.State(i), saved_chats], [chatbot.chatbot, status])
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