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Update app.py
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app.py
CHANGED
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@@ -4,7 +4,7 @@ import os
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import uuid
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import json
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# Import
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try:
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from duckduckgo_search import DDGS
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except ImportError:
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@@ -15,12 +15,11 @@ try:
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except ImportError:
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gTTS = None
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# 1. CẤU HÌNH
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USER_ID, USER_PASS = "admin", "123456"
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HF_TOKEN = os.getenv("HUGGINGFACE_HUB_TOKEN")
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# Sử dụng model Qwen2.5-7B-Instruct để đảm bảo chạy 100% trên mọi Server
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client = InferenceClient(model="Qwen/Qwen2.5-7B-Instruct", token=HF_TOKEN)
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DB_FILE = "
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def load_db():
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if os.path.exists(DB_FILE):
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@@ -33,12 +32,12 @@ def save_db(data):
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with open(DB_FILE, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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# 2. GUI DESIGN (
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custom_css = """
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@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&family=Plus+Jakarta+Sans:wght@300;400;600&display=swap');
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.gradio-container {
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background: radial-gradient(circle at top right, #
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font-family: 'Plus Jakarta Sans', sans-serif !important;
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}
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@@ -46,52 +45,55 @@ custom_css = """
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position: fixed !important;
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left: 10px !important; top: 10px !important;
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width: 280px !important; height: calc(100vh - 20px) !important;
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background: rgba(
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backdrop-filter: blur(
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border: 1px solid rgba(
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border-radius: 20px !important;
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z-index: 999 !important;
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padding:
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overflow-y: auto !important;
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}
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.nodeai-logo {
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font-family: 'Orbitron', sans-serif !important;
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background: linear-gradient(90deg, #00f2fe, #
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size:
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font-weight: 800 !important;
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text-align: center;
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margin-bottom:
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}
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.chat-col {
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margin-left: 310px !important;
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width: calc(100% - 330px) !important;
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height: 100vh !important;
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padding: 20px !important;
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}
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.gr-chatbot { background: transparent !important; border: none !important; }
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/*
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.
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display: flex !important;
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gap: 10px !important;
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align-items: center !important;
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background: rgba(255, 255, 255, 0.03) !important;
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border: 1px solid rgba(255, 255, 255, 0.1) !important;
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border-radius:
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padding:
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}
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footer { display: none !important; }
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"""
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# 3.
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def search_web(query):
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if not DDGS: return ""
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try:
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@@ -101,22 +103,17 @@ def search_web(query):
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except: return ""
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def chat_fn(message, history, session_id, store):
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files = []
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if isinstance(message, dict):
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user_text = message.get("text", "")
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files = message.get("files", [])
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if not user_text and not files: return {"text": ""}, history, session_id, store, None
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if session_id not in store:
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store[session_id] = {"title": user_text[:20] if user_text else "
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api_messages = [{"role": "system", "content": f"Bạn là NodeAI
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for msg in history:
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api_messages.append({"role": msg["role"], "content": msg["content"]})
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@@ -130,12 +127,12 @@ def chat_fn(message, history, session_id, store):
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ans += token.choices[0].delta.content
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yield {"text": ""}, new_h + [{"role": "assistant", "content": ans}], session_id, store, None
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store[session_id]["history"] =
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save_db(store)
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yield {"text": ""},
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except Exception as e:
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yield {"text": ""}, history + [{"role": "assistant", "content": f"
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def tts_engine(text):
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if not text or not gTTS: return None
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@@ -146,7 +143,7 @@ def tts_engine(text):
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except: return None
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# 4. INTERFACE
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with gr.Blocks(title="NodeAI
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chat_store = gr.State(load_db())
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session_id = gr.State(str(uuid.uuid4()))
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@@ -159,32 +156,36 @@ with gr.Blocks(title="NodeAI Genesis") as demo:
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@gr.render(inputs=chat_store)
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def render_history(store):
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for sid in reversed(list(store.keys())):
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btn = gr.Button(f"◈ {store[sid]['title']}",
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btn.click(lambda s=sid: (store[s]["history"], s), None, [chatbot, session_id])
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# MAIN
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with gr.Column(elem_classes="chat-col"):
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chatbot = gr.Chatbot(show_label=False, height="
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audio_out = gr.Audio(autoplay=True, visible=False)
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sources=["
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msg_input.submit(
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chat_fn,
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[msg_input, chatbot, session_id, chat_store],
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[msg_input, chatbot, session_id, chat_store, audio_out]
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).then(tts_engine, audio_out, audio_out)
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new_btn.click(lambda: ([], str(uuid.uuid4())), None, [chatbot, session_id])
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if __name__ == "__main__":
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import uuid
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import json
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# Import thư viện hỗ trợ
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try:
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from duckduckgo_search import DDGS
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except ImportError:
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except ImportError:
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gTTS = None
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# 1. CẤU HÌNH HỆ THỐNG
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USER_ID, USER_PASS = "admin", "123456"
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HF_TOKEN = os.getenv("HUGGINGFACE_HUB_TOKEN")
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client = InferenceClient(model="Qwen/Qwen2.5-7B-Instruct", token=HF_TOKEN)
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DB_FILE = "nodeai_platinum_memory.json"
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def load_db():
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if os.path.exists(DB_FILE):
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with open(DB_FILE, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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# 2. GUI DESIGN (PLATINUM CYBERPUNK)
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custom_css = """
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@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&family=Plus+Jakarta+Sans:wght@300;400;600&display=swap');
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.gradio-container {
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background: radial-gradient(circle at top right, #0d0d1a, #050505) !important;
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font-family: 'Plus Jakarta Sans', sans-serif !important;
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}
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position: fixed !important;
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left: 10px !important; top: 10px !important;
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width: 280px !important; height: calc(100vh - 20px) !important;
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background: rgba(10, 10, 15, 0.9) !important;
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backdrop-filter: blur(20px) !important;
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border: 1px solid rgba(0, 242, 254, 0.2) !important;
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border-radius: 20px !important;
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z-index: 999 !important;
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padding: 20px !important;
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}
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.nodeai-logo {
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font-family: 'Orbitron', sans-serif !important;
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background: linear-gradient(90deg, #00f2fe, #7ef2ff);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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font-size: 26px !important;
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font-weight: 800 !important;
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text-align: center;
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margin-bottom: 25px;
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}
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.chat-col {
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margin-left: 310px !important;
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width: calc(100% - 330px) !important;
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height: 100vh !important;
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}
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.gr-chatbot { background: transparent !important; border: none !important; }
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/* Control Panel cho Input */
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.control-panel {
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background: rgba(255, 255, 255, 0.03) !important;
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border: 1px solid rgba(255, 255, 255, 0.1) !important;
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border-radius: 25px !important;
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padding: 10px !important;
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margin-bottom: 20px !important;
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}
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.hist-btn {
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background: rgba(255, 255, 255, 0.03) !important;
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border: 1px solid rgba(0, 242, 254, 0.1) !important;
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border-radius: 12px !important;
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margin-bottom: 8px !important;
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transition: 0.3s;
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}
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.hist-btn:hover { border-color: #00f2fe !important; background: rgba(0, 242, 254, 0.1) !important; }
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footer { display: none !important; }
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"""
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# 3. CORE LOGIC
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def search_web(query):
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if not DDGS: return ""
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try:
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except: return ""
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def chat_fn(message, history, session_id, store):
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user_text = message.get("text", "") if isinstance(message, dict) else message
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files = message.get("files", []) if isinstance(message, dict) else []
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if not user_text and not files: return {"text": ""}, history, session_id, store, None
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if session_id not in store:
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store[session_id] = {"title": user_text[:20] if user_text else "Nova Task", "history": []}
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web_info = search_web(user_text) if any(x in user_text.lower() for x in ["tìm", "tra", "web", "giá"]) else ""
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api_messages = [{"role": "system", "content": f"Bạn là NodeAI Platinum. Master: Trần Đình Phúc. Web Context: {web_info}"}]
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for msg in history:
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api_messages.append({"role": msg["role"], "content": msg["content"]})
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ans += token.choices[0].delta.content
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yield {"text": ""}, new_h + [{"role": "assistant", "content": ans}], session_id, store, None
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final_h = new_h + [{"role": "assistant", "content": ans}]
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store[session_id]["history"] = final_h
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save_db(store)
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yield {"text": ""}, final_h, session_id, store, ans
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except Exception as e:
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yield {"text": ""}, history + [{"role": "assistant", "content": f"Neural Error: {str(e)}"}], session_id, store, None
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def tts_engine(text):
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if not text or not gTTS: return None
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except: return None
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# 4. INTERFACE
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with gr.Blocks(title="NodeAI Platinum") as demo:
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chat_store = gr.State(load_db())
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session_id = gr.State(str(uuid.uuid4()))
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@gr.render(inputs=chat_store)
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def render_history(store):
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for sid in reversed(list(store.keys())):
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btn = gr.Button(f"◈ {store[sid]['title']}", elem_classes="hist-btn")
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btn.click(lambda s=sid: (store[s]["history"], s), None, [chatbot, session_id])
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# MAIN CONTENT
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with gr.Column(elem_classes="chat-col"):
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chatbot = gr.Chatbot(show_label=False, height="72vh")
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audio_out = gr.Audio(autoplay=True, visible=False)
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with gr.Row(elem_classes="control-panel"):
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with gr.Column(scale=9):
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msg_input = gr.MultimodalTextbox(
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show_label=False, placeholder="Command NodeAI Genesis...", container=False
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)
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with gr.Column(scale=1, min_width=60):
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# Mic rời cực kỳ nhạy để trình duyệt nhận diện quyền
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mic_btn = gr.Audio(sources=["microphone"], type="filepath", label="Mic", show_label=False)
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gr.HTML("<p style='text-align:center; color:rgba(0, 242, 254, 0.2); font-size:11px;'>PLATINUM V30.5 • POWERED BY TRẦN ĐÌNH PHÚ</p>")
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# Xử lý nhập liệu
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msg_input.submit(
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chat_fn, [msg_input, chatbot, session_id, chat_store], [msg_input, chatbot, session_id, chat_store, audio_out]
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).then(tts_engine, audio_out, audio_out)
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# Xử lý từ Mic (Khi thu âm xong tự động gửi)
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def process_mic(path):
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return {"text": "Dịch nội dung từ file âm thanh này và trả lời", "files": [path]}
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mic_btn.stop_recording(process_mic, mic_btn, msg_input)
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new_btn.click(lambda: ([], str(uuid.uuid4())), None, [chatbot, session_id])
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if __name__ == "__main__":
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