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@@ -57,6 +57,7 @@ services: | |
ports: | ||
- 7000:7000 | ||
- 5678:5678 | ||
- 8888:8888 | ||
command: tail -f /dev/null | ||
depends_on: | ||
store: | ||
|
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store: | ||
entities: | ||
- label: "Data Store" | ||
type: "es_vec" | ||
parameters: | ||
host_name: "es" | ||
image_index_name: "image" | ||
text_index_name: "text" | ||
video_index_name: "video" | ||
audio_index_name: "audio" | ||
|
||
operators : | ||
label : "Operators" | ||
parameters : | ||
- name : "Audio Vector Representation" | ||
type : "audio_vec_embedding_clap" | ||
parameters: { index_name : "audio" } |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "1e091bae-5d04-42a3-ac01-0982ff289fca", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import sys\n", | ||
"import os" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "1c04f4af-7a6a-47e4-9dd9-218749c39ecf", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"sys.path.append(os.path.abspath('../../app'))" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "5493ef2f-9f6f-46c6-aff3-25c01569409b", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from core.feluda import Feluda,ComponentType\n", | ||
"from core.models.media import MediaType\n", | ||
"from core.models.media_factory import AudioFactory\n", | ||
"from datetime import datetime" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "01d81101-99d5-49a6-96b5-3c4d94d0886e", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"/usr/app/venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", | ||
" from .autonotebook import tqdm as notebook_tqdm\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"audio CLAP Model successfully initialized and loaded onto cpu\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"feluda = Feluda(\"audio-config.yml\")\n", | ||
"feluda.setup()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "bf99edf8-00af-434a-8ad2-01f2c52cac70", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"if feluda.config.store:\n", | ||
" feluda.start_component(ComponentType.STORE)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 11, | ||
"id": "69589541-38d3-41fb-ae05-2898ae507b1e", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"audio_urls = [\n", | ||
" \"https://raw.githubusercontent.com/tattle-made/feluda/main/src/core/operators/sample_data/en_speech.wav\",\n", | ||
" \"https://raw.githubusercontent.com/tattle-made/feluda/main/src/core/operators/sample_data/hi_speech.wav\",\n", | ||
" \"https://raw.githubusercontent.com/tattle-made/feluda/main/src/core/operators/sample_data/ta_speech.wav\"\n", | ||
"]" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 12, | ||
"id": "1591b43b-3580-4d5a-b1de-649e10d95f7b", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"\n", | ||
"def generate_document(post_id: str, representation: any):\n", | ||
" # This is specific to clip operator\n", | ||
" base_doc = {\n", | ||
" \"e_kosh_id\": \"\",\n", | ||
" \"dataset\": post_id,\n", | ||
" \"metadata\": None,\n", | ||
" \"audio_vec\" : representation,\n", | ||
" \"date_added\":datetime.utcnow(),\n", | ||
" }\n", | ||
"\n", | ||
" return base_doc\n", | ||
"\n", | ||
"def store_audio(audio_url):\n", | ||
" filename = audio_url.split('/')[-1]\n", | ||
" \n", | ||
" audio = AudioFactory.make_from_url(audio_url)\n", | ||
" operator = feluda.operators.get()[feluda.config.operators.parameters[0].type]\n", | ||
" embedding = operator.run(audio)\n", | ||
"\n", | ||
" if feluda.store:\n", | ||
" doc = generate_document(filename,embedding)\n", | ||
" media_type = MediaType.AUDIO\n", | ||
" result = feluda.store[feluda.config.store.entities[0].type].store(media_type,doc)\n", | ||
" return(\"result:\",result)\n", | ||
" else:\n", | ||
" raise Exception(\"Store is not Configured\")\n", | ||
"\n", | ||
"def search_audio(audio_url):\n", | ||
" audio = AudioFactory.make_from_url(audio_url)\n", | ||
" operator = feluda.operators.get()[feluda.config.operators.parameters[0].type]\n", | ||
" embedding = operator.run(audio)\n", | ||
" # average_vector = next(embedding)\n", | ||
"\n", | ||
" if feluda.store:\n", | ||
" result = feluda.store[feluda.config.store.entities[0].type].find(\"audio\",embedding)\n", | ||
" return result\n", | ||
" else:\n", | ||
" raise Exception(\"Store is not Configured\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 13, | ||
"id": "ca261f64-0693-4830-88ed-5d7a70693d3b", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Downloading audio from URL\n", | ||
"100% [............................................................................] 131406 / 131406\n", | ||
"Audio downloaded\n", | ||
"Downloading audio from URL\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"100% [............................................................................] 119758 / 119758\n", | ||
"Audio downloaded\n", | ||
"Downloading audio from URL\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"100% [............................................................................] 118158 / 118158\n", | ||
"Audio downloaded\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"# Storing audio files\n", | ||
"\n", | ||
"for url in audio_urls:\n", | ||
" store_audio(url)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 14, | ||
"id": "f9a9c1f0-e343-48b2-b558-5aa5c4bbcce1", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"It is strongly recommended to pass the `sampling_rate` argument to this function. Failing to do so can result in silent errors that might be hard to debug.\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Downloading audio from URL\n", | ||
"100% [............................................................................] 119758 / 119758\n", | ||
"Audio downloaded\n", | ||
"calculation: 1 / (1 + l2norm(params.query_vector, 'audio_vec'))\n" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"[{'doc_id': 'IpvDtJIBWjgd5dmgGFTR',\n", | ||
" 'dist': 1.0,\n", | ||
" 'dataset': 'hi_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'I5vDtJIBWjgd5dmgG1RZ',\n", | ||
" 'dist': 0.5291093,\n", | ||
" 'dataset': 'ta_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'HZu-tJIBWjgd5dmgY1S7',\n", | ||
" 'dist': 0.44020036,\n", | ||
" 'dataset': 'audio.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'HpvAtJIBWjgd5dmgt1Rb',\n", | ||
" 'dist': 0.41548398,\n", | ||
" 'dataset': 'en_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'H5vCtJIBWjgd5dmgJVTw',\n", | ||
" 'dist': 0.41548398,\n", | ||
" 'dataset': 'en_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'IJvCtJIBWjgd5dmguFR5',\n", | ||
" 'dist': 0.41548398,\n", | ||
" 'dataset': 'en_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None},\n", | ||
" {'doc_id': 'IZvDtJIBWjgd5dmgFlR2',\n", | ||
" 'dist': 0.41548398,\n", | ||
" 'dataset': 'en_speech.wav',\n", | ||
" 'e_kosh_id': '',\n", | ||
" 'text': None,\n", | ||
" 'metadata': None}]" | ||
] | ||
}, | ||
"execution_count": 14, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Searching for hindi speech\n", | ||
"\n", | ||
"search_audio(audio_urls[1])" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "8fa416ed-7c52-4ef8-858a-635348ab4c2f", | ||
"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": "3.11.8" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |