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Hezu06 commited on Apr 17

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bio_vibe_backend/__pycache__/main.cpython-311.pyc +0 -0
bio_vibe_backend/__pycache__/main.cpython-313.pyc +0 -0
bio_vibe_backend/biovibe_brain.pth +0 -3
bio_vibe_backend/index.html +0 -219
bio_vibe_backend/main.py +0 -164
bio_vibe_backend/mapping_dict.pkl +0 -3
bio_vibe_backend/music/ai_vibe_101.mid +0 -0
bio_vibe_backend/music/ai_vibe_101.wav +0 -3
bio_vibe_backend/music/ai_vibe_107.mid +0 -0
bio_vibe_backend/music/ai_vibe_107.wav +0 -3
bio_vibe_backend/music/ai_vibe_115.mid +0 -0
bio_vibe_backend/music/ai_vibe_115.wav +0 -3
bio_vibe_backend/music/ai_vibe_75.mid +0 -0
bio_vibe_backend/music/ai_vibe_75.wav +0 -3
bio_vibe_backend/music/ai_vibe_76.mid +0 -0
bio_vibe_backend/music/ai_vibe_76.wav +0 -3
bio_vibe_backend/music/ai_vibe_77.mid +0 -0
bio_vibe_backend/music/ai_vibe_77.wav +0 -3
bio_vibe_backend/music/ai_vibe_79.mid +0 -0
bio_vibe_backend/music/ai_vibe_79.wav +0 -3
bio_vibe_backend/music/ai_vibe_80.mid +0 -0
bio_vibe_backend/music/ai_vibe_80.wav +0 -3
bio_vibe_backend/music/ai_vibe_82.mid +0 -0
bio_vibe_backend/music/ai_vibe_82.wav +0 -3
bio_vibe_backend/music/ai_vibe_84.mid +0 -0
bio_vibe_backend/music/ai_vibe_86.mid +0 -0
bio_vibe_backend/music/ai_vibe_86.wav +0 -3
bio_vibe_backend/music/ai_vibe_89.mid +0 -0
bio_vibe_backend/music/ai_vibe_89.wav +0 -3
bio_vibe_backend/music/ai_vibe_90.mid +0 -0
bio_vibe_backend/music/ai_vibe_90.wav +0 -3
bio_vibe_backend/music/ai_vibe_92.mid +0 -0
bio_vibe_backend/music/ai_vibe_92.wav +0 -3
bio_vibe_backend/notes_corpus.pkl +0 -3
bio_vibe_backend/soundfonts/Piano.SF2 +0 -3
bio_vibe_backend/stems/pad_ambient.wav +0 -3
bio_vibe_backend/stems/piano.wav +0 -3
bio_vibe_backend/stems/rain.wav +0 -3
bio_vibe_backend/stems/violin.wav +0 -3

bio_vibe_backend/__pycache__/main.cpython-311.pyc DELETED Viewed

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bio_vibe_backend/biovibe_brain.pth DELETED Viewed

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-oid sha256:c7ca670b7a2de2c65271cf0d021381f1ecfd4f894292c818257a1f7edc0a7a46
-size 15971033

bio_vibe_backend/index.html DELETED Viewed

@@ -1,219 +0,0 @@
-<!DOCTYPE html>
-<html lang="vi">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>Bio-Vibe Web</title>
-    <link rel="icon" href="data:,">
-    <style>
-        body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            background-color: #1a1a2e;
-            color: #e94560;
-            display: flex;
-            flex-direction: column;
-            align-items: center;
-            justify-content: center;
-            height: 100vh;
-            margin: 0;
-        }
-        .container {
-            background-color: #16213e;
-            padding: 40px;
-            border-radius: 15px;
-            text-align: center;
-            box-shadow: 0 10px 30px rgba(0,0,0,0.5);
-        }
-        h1 { color: #fff; margin-bottom: 5px; }
-        p { color: #a2a2bd; margin-bottom: 30px; }
-        #bpm-display {
-            font-size: 80px;
-            font-weight: bold;
-            margin: 20px 0;
-            text-shadow: 0 0 15px #e94560;
-            transition: color 0.3s ease;
-        }
-        @keyframes pulse {
-            0% { transform: scale(1); opacity: 1; }
-            50% { transform: scale(1.05); opacity: 0.8; }
-            100% { transform: scale(1); opacity: 1; }
-        }
-        .button-group {
-            display: flex;
-            justify-content: center;
-            flex-wrap: wrap;
-            gap: 15px;
-            max-width: 600px;
-        }
-        button {
-            background-color: #0f3460;
-            color: white;
-            border: none;
-            padding: 15px 25px;
-            font-size: 16px;
-            border-radius: 8px;
-            cursor: pointer;
-            transition: 0.3s;
-            font-weight: bold;
-        }
-        button:hover { background-color: #4ecca3; color: #1a1a2e; }
-        button:disabled { background-color: #333; cursor: not-allowed; color: #777; }
-        /* CSS riêng cho nút Dừng nhạc */
-        #btn-stop { background-color: #8b0000; }
-        #btn-stop:hover { background-color: #ff4d4d; color: white; }
-        #btn-stop:disabled { background-color: #333; }
-        #status { margin-top: 20px; color: #4ecca3; font-style: italic; font-size: 14px;}
-    </style>
-</head>
-<body>
-    <div class="container">
-        <h1>Bio-Vibe 🎧</h1>
-        <p>Âm nhạc trị liệu AI theo Nhịp tim</p>
-        <div id="bpm-display">-- BPM</div>
-        <div class="button-group">
-            <button id="btn-connect">1. Bắt tay Đồng hồ</button>
-            <button id="btn-generate">2. Sinh nhạc AI</button>
-            <button id="btn-stop" disabled>3. Dừng nhạc</button>
-        </div>
-        <div id="status">Chưa kết nối... Mở nRF Connect trên điện thoại để chuẩn bị!</div>
-    </div>
-    <script>
-        let currentBpm = 0;
-        let currentAudio = null; // Biến toàn cục để quản lý file âm thanh
-        const bpmDisplay = document.getElementById('bpm-display');
-        const statusText = document.getElementById('status');
-        const btnConnect = document.getElementById('btn-connect');
-        const btnGenerate = document.getElementById('btn-generate');
-        const btnStop = document.getElementById('btn-stop');
-        // ==========================================
-        // 1. BLUETOOTH LOGIC
-        // ==========================================
-        btnConnect.addEventListener('click', async () => {
-            try {
-                statusText.innerText = "Đang mở máy quét Bluetooth...";
-                const device = await navigator.bluetooth.requestDevice({
-                    acceptAllDevices: true,
-                    optionalServices: ['heart_rate']
-                });
-                statusText.innerText = `Đã chọn: ${device.name}. Đang kết nối...`;
-                const server = await device.gatt.connect();
-                const service = await server.getPrimaryService('heart_rate');
-                const characteristic = await service.getCharacteristic('heart_rate_measurement');
-                await characteristic.startNotifications();
-                characteristic.addEventListener('characteristicvaluechanged', handleHeartRateData);
-                statusText.innerText = "Kết nối thành công! Đang đợi nhịp tim truyền lên...";
-                btnConnect.innerText = "✓ Đã kết nối Bluetooth";
-                btnConnect.style.backgroundColor = "#4ecca3";
-                btnConnect.style.color = "#1a1a2e";
-            } catch (error) {
-                console.error("Bluetooth Error:", error);
-                statusText.innerText = "Hủy kết nối hoặc lỗi thiết bị!";
-                statusText.style.color = "#ff4d4d";
-            }
-        });
-        function handleHeartRateData(event) {
-            const value = event.target.value;
-            const flags = value.getUint8(0);
-            if ((flags & 0x01) === 0) {
-                currentBpm = value.getUint8(1);
-            } else {
-                currentBpm = value.getUint16(1, true);
-            }
-            bpmDisplay.innerText = `${currentBpm} BPM`;
-            bpmDisplay.style.color = "#e94560";
-            statusText.innerText = "Đang đọc nhịp tim thành công. Sẵn sàng tạo nhạc!";
-            statusText.style.color = "#4ecca3";
-        }
-        // ==========================================
-        // 2. TẠO VÀ PHÁT NHẠC
-        // ==========================================
-        btnGenerate.addEventListener('click', async () => {
-            if (currentBpm === 0) {
-                alert("Bạn chưa kết nối Bluetooth hoặc chưa gửi số nhịp tim từ nRF Connect!");
-                return;
-            }
-            // TÍNH NĂNG MỚI: Tắt ngay bài nhạc cũ (nếu có) trước khi tạo bài mới
-            if (currentAudio) {
-                currentAudio.pause();
-                currentAudio.currentTime = 0; // Tua lại từ đầu
-                bpmDisplay.style.animation = "none";
-            }
-            statusText.innerText = `Đang gửi ${currentBpm} BPM cho bộ não AI xử lý...`;
-            btnGenerate.innerText = "AI đang sáng tác...";
-            btnGenerate.disabled = true;
-            btnStop.disabled = true;
-            try {
-                const response = await fetch('/generate-vibe', {
-                    method: 'POST',
-                    headers: { 'Content-Type': 'application/json' },
-                    body: JSON.stringify({ bpm: currentBpm })
-                });
-                const data = await response.json();
-                if (data.status === "success") {
-                    statusText.innerText = "Sáng tác xong! Đang phát nhạc 🎵";
-                    // Gắn file nhạc mới vào biến toàn cục
-                    currentAudio = new Audio(data.audio_url);
-                    currentAudio.play();
-                    bpmDisplay.style.animation = "pulse 1s infinite";
-                    btnStop.disabled = false; // Mở khóa nút Dừng
-                    // Xử lý khi nhạc tự chạy hết
-                    currentAudio.onended = () => {
-                        bpmDisplay.style.animation = "none";
-                        statusText.innerText = "Bản nhạc đã kết thúc. Sẵn sàng tạo trải nghiệm mới!";
-                        btnStop.disabled = true;
-                    };
-                } else {
-                    statusText.innerText = `Lỗi từ Server: ${data.message}`;
-                }
-            } catch (error) {
-                console.error("API Error:", error);
-                statusText.innerText = "Mất kết nối với máy chủ AI!";
-            } finally {
-                btnGenerate.innerText = "2. Sinh nhạc AI";
-                btnGenerate.disabled = false;
-            }
-        });
-        // ==========================================
-        // 3. DỪNG NHẠC THỦ CÔNG
-        // ==========================================
-        btnStop.addEventListener('click', () => {
-            if (currentAudio) {
-                currentAudio.pause(); // Cắt âm thanh
-                currentAudio.currentTime = 0; // Xóa cache phát
-                bpmDisplay.style.animation = "none"; // Tắt nhấp nháy
-                statusText.innerText = "Đã dừng phát nhạc.";
-                btnStop.disabled = true; // Khóa lại nút dừng
-            }
-        });
-    </script>
-</body>
-</html>

bio_vibe_backend/main.py DELETED Viewed

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-from fastapi import FastAPI, Request
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
-from pydantic import BaseModel
-import torch
-import torch.nn as nn
-import pickle
-import numpy as np
-from music21 import note, chord, stream, instrument
-import os
-os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
-import random
-import subprocess
-app = FastAPI(title="Bio-Vibe AI Inference")
-os.makedirs("music", exist_ok=True)
-app.mount("/music", StaticFiles(directory="music"), name="music")
-@app.get("/")
-async def serve_frontend():
-    return FileResponse("index.html")
-class HeartRateData(BaseModel):
-    bpm: int
-# ==========================================
-# 1. KHÔI PHỤC "BỘ NÃO" (PYTORCH MODEL)
-# ==========================================
-# Cấu trúc class phải y hệt lúc train
-class BioVibeAI(nn.Module):
-    def __init__(self, vocab_size, embed_size=256, hidden_size=512, num_layers=2):
-        super(BioVibeAI, self).__init__()
-        self.embedding = nn.Embedding(vocab_size, embed_size)
-        self.lstm = nn.LSTM(embed_size, hidden_size, num_layers, batch_first=True)
-        self.fc = nn.Linear(hidden_size, vocab_size)
-    def forward(self, x):
-        embedded = self.embedding(x)
-        out, _ = self.lstm(embedded)
-        out = self.fc(out[:, -1, :])
-        return out
-# Nạp từ điển
-with open('mapping_dict.pkl', 'rb') as f:
-    int_to_note = pickle.load(f)
-note_to_int = {note: number for number, note in int_to_note.items()}
-vocab_size = len(int_to_note)
-# Load trọng số mô hình
-device = torch.device("cpu") # Server chạy CPU cho nhẹ
-model = BioVibeAI(vocab_size=vocab_size)
-model.load_state_dict(torch.load("biovibe_brain.pth", map_location=device))
-model.eval() # Chuyển sang chế độ suy luận
-# Nạp kho dữ liệu cũ để lấy Seed (đoạn nhạc mồi)
-with open('notes_corpus.pkl', 'rb') as f:
-    corpus = pickle.load(f)
-# ==========================================
-# 2. HÀM SÁNG TÁC BẰNG NHIỆT ĐỘ (TEMPERATURE)
-# ==========================================
-def generate_ai_midi(bpm: int, output_file: str, num_notes: int = 60):
-    # Logic phản hồi sinh học
-    if bpm > 80:
-        temperature = 0.7  # An toàn, ổn định
-        base_offset = 1.0  # Nốt đánh chậm
-    else:
-        temperature = 1.0  # Bay bổng, ngẫu hứng
-        base_offset = 0.5  # Nốt đánh nhanh hơn một chút
-    # Chọn bừa 100 nốt từ kho dữ liệu để làm "mồi" cho AI
-    start_idx = random.randint(0, len(corpus) - 100)
-    seed_sequence = corpus[start_idx:start_idx + 100]
-    pattern = [note_to_int[char] for char in seed_sequence]
-    generated_notes = []
-    print(f"Đang sáng tác với Temp={temperature}...")
-    # AI bắt đầu dự đoán
-    for i in range(num_notes):
-        sequence_tensor = torch.tensor([pattern], dtype=torch.long).to(device)
-        with torch.no_grad():
-            prediction = model(sequence_tensor)
-        # ÁP DỤNG TEMPERATURE
-        prediction = prediction / temperature
-        probabilities = torch.softmax(prediction, dim=1).numpy()[0]
-        # Chọn nốt dựa trên phân phối xác suất
-        index = np.random.choice(len(probabilities), p=probabilities)
-        result_note = int_to_note[index]
-        generated_notes.append(result_note)
-        # Cập nhật cửa sổ trượt (thêm nốt mới, xóa nốt cũ nhất)
-        pattern.append(index)
-        pattern = pattern[1:]
-    # ==========================================
-    # 3. CHUYỂN NGỮ AI THÀNH FILE MIDI
-    # ==========================================
-    offset = 0
-    output_stream = stream.Stream()
-    output_stream.append(instrument.Piano()) # Chọn nhạc cụ
-    for pattern_note in generated_notes:
-        # Nếu là hợp âm (có dấu chấm, ví dụ '4.7.11')
-        if ('.' in pattern_note) or pattern_note.isdigit():
-            notes_in_chord = pattern_note.split('.')
-            chord_notes = []
-            for current_note in notes_in_chord:
-                new_note = note.Note(int(current_note))
-                new_note.storedInstrument = instrument.Piano()
-                chord_notes.append(new_note)
-            new_chord = chord.Chord(chord_notes)
-            new_chord.offset = offset
-            output_stream.append(new_chord)
-        # Nếu là nốt đơn (Ví dụ: 'C4')
-        else:
-            new_note = note.Note(pattern_note)
-            new_note.offset = offset
-            new_note.storedInstrument = instrument.Piano()
-            output_stream.append(new_note)
-        # Tịnh tiến thời gian cho nốt tiếp theo
-        offset += base_offset
-    output_stream.write('midi', fp=output_file)
-# ==========================================
-# 4. API ENDPOINT
-# ==========================================
-@app.post("/generate-vibe")
-async def generate_vibe(data: HeartRateData, request: Request):
-    # Đường dẫn file
-    midi_file = f"music/ai_vibe_{data.bpm}.mid"
-    wav_file = f"music/ai_vibe_{data.bpm}.wav"
-    soundfont_path = "soundfonts/Piano.sf2" # Đường dẫn tới file sf2 bạn vừa tải
-    # Bước 1: PyTorch sinh ra cấu trúc nốt nhạc (MIDI)
-    # Bước 1: PyTorch sinh ra cấu trúc nốt nhạc (MIDI)
-    generate_ai_midi(data.bpm, midi_file)
-    # Bước 2: Tự viết lệnh Render bằng Subprocess chuẩn xác cho FluidSynth 2.5+
-    print("Đang render MIDI thành âm thanh Piano...")
-    try:
-        subprocess.run([
-            "fluidsynth",
-            "-ni",               # Chạy ẩn không cần giao diện
-            "-r", "44100",       # Chất lượng Sample rate
-            "-F", wav_file,      # Xuất ra file thay vì phát ra loa laptop!
-            soundfont_path,      # Dàn nhạc (Soundfont)
-            midi_file            # Kịch bản (MIDI)
-        ], check=True)
-    except Exception as e:
-        print(f"Lỗi khi render âm thanh: {e}")
-        return {"status": "error", "message": "Render failed"}
-    server_url = str(request.base_url).rstrip("/")
-    # Bước 3: Trả về link file âm thanh xịn xò cho App Flutter
-    return {"status": "success", "audio_url": f"{server_url}/{wav_file}"}

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