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"source": [ + "pip install ipywidgets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70b6e49e-8b60-4ec2-bdd5-293de2a1b50f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aad0101b-7834-4ab5-9671-697325631533", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "48ad2888-3815-4bf8-a25b-f07d97931de3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1: 27-hungry fox.wav.wav\n", + "2: foxBark2.wav.wav\n", + "3: Cute Arctic White Fox Laughing Vine.mp3.wav\n", + "4: fox_barks_cut.wav.wav\n", + "5: Fox screaming in the night.mp3.wav\n", + "6: Fox, Vocal Cry, Distant, 01.wav.wav\n", + "7: Fox Barking.wav\n", + "8: Alien Fox Bark.mp3.wav\n", + "9: Chris Fox KRLD.mp3.wav\n", + "10: Fox Scream Mating Call.wav\n", + "11: 12- steps fox.wav.wav\n", + "12: 25-fox eats.wav.wav\n", + "13: fox sex.wav\n", + "14: 26-angry fox.wav.wav\n", + "15: red fox screeching.mp3.wav\n" + ] + } + ], + "source": [ + "data_path = \"/Users/amankhan/Documents/GitHub/Project-Echo/src/Prototypes/data/WebScrapeAndStoreSounds/Downloaded_sounds\"\n", + "audio_files = [f for f in os.listdir(data_path) if f.endswith('.wav')]\n", + "for i, file in enumerate(audio_files):\n", + " print(f\"{i + 1}: {file}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "fca9f6ed-6f0e-4829-bc64-96ceea9d80cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 'red fox screeching.mp3.wav' with a sample rate of 44100 Hz\n" + ] + } + ], + "source": [ + "file_index = 14 # Replace with desired index\n", + "selected_file = audio_files[file_index]\n", + "file_path = os.path.join(data_path, selected_file)\n", + "audio, sample_rate = librosa.load(file_path, sr=None)\n", + "print(f\"Loaded '{selected_file}' with a sample rate of {sample_rate} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c5a7901f-b108-4bbf-8071-0637331d2de4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 'red fox screeching.mp3.wav' with a sample rate of 44100 Hz\n" + ] + } + ], + "source": [ + "import librosa\n", + "import librosa.display\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Full path to the selected audio file\n", + "file_path = os.path.join(data_path, selected_file)\n", + "\n", + "# Load the audio file\n", + "audio, sample_rate = librosa.load(file_path, sr=None)\n", + "\n", + "# Display basic information\n", + "print(f\"Loaded '{selected_file}' with a sample rate of {sample_rate} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "4441c957-065f-490c-9006-4693ffe4c7f7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 4))\n", + "librosa.display.waveshow(audio, sr=sample_rate)\n", + "plt.title(f\"Waveform of {selected_file}\")\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1e3ed9ea-b86a-45b2-924a-691376bfa26d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import Audio\n", + "\n", + "# Play the audio\n", + "Audio(data=audio, rate=sample_rate)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "67b19caf-cf5b-40cd-beec-45e3e76a1b9e", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "55cf142d5d734415a0224b9910e21f6d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Dropdown(description='Select File:', options=('27-hungry fox.wav.wav', 'foxBark2.wav.wav', 'Cute Arctic White …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import ipywidgets as widgets\n", + "from IPython.display import display\n", + "import os\n", + "\n", + "# Dropdown menu to select a file\n", + "dropdown = widgets.Dropdown(\n", + " options=audio_files,\n", + " description='Select File:',\n", + " value=audio_files[0] # Default to the first file\n", + ")\n", + "\n", + "def on_dropdown_change(change):\n", + " selected_file = change['new'] # Get the new selection\n", + " file_path = os.path.join(data_path, selected_file)\n", + " print(f\"Selected file: {selected_file}\")\n", + " print(f\"File path: {file_path}\")\n", + "\n", + "# Attach a handler to capture changes in selection\n", + "dropdown.observe(on_dropdown_change, names='value')\n", + "\n", + "# Display the dropdown\n", + "display(dropdown)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17980454-995a-405c-a290-c7b63f7dc9fc", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.19" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}

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