Clement Delteil Wazzabeee
🐠
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| import streamlit as st | |
| import requests | |
| from streamlit_lottie import st_lottie | |
| # Define a function that we can use to load lottie files from a link. | |
| @st.cache_data() | |
| def load_lottieurl(url: str): | |
| r = requests.get(url) | |
| if r.status_code != 200: | |
| return None |
Wazzabeee
/ wav_to_tfrecord.py
Created
April 23, 2023 22:41
Python script that converts WAV files to TFRecord format with label one hot encoded
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| import os | |
| import tensorflow as tf | |
| import librosa | |
| import numpy as np | |
| def _int64_feature(value): | |
| return tf.train.Feature(int64_list=tf.train.Int64List(value=[value])) | |
| def _bytes_feature(value): | |
| return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) |
Wazzabeee
/ get_wav_duration.py
Last active
August 3, 2025 03:36
Get total duration of WAV files in given directory
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| import os | |
| import sys | |
| import wave | |
| # Get the path to the directory from the command-line argument | |
| if len(sys.argv) < 2: | |
| print("Usage: python script.py <directory>") | |
| sys.exit(1) | |
| root_dir = sys.argv[1] |
Wazzabeee
/ mp3_to_wav.py
Created
April 23, 2023 21:39
Convert MP3 files to WAV files with specified sampling rate
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| import os | |
| import argparse | |
| import subprocess | |
| import shutil | |
| from pathlib import Path | |
| def convert_mp3_to_wav(mp3_file_path, output_dir, sample_rate): | |
| # extract the file name and extension | |
| mp3_file_name = os.path.basename(mp3_file_path) |
Wazzabeee
/ test_simple.py
Created
January 21, 2023 18:41
Python script used in PlotNeuralNet package
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| import sys | |
| sys.path.append('../') | |
| from pycore.tikzeng import * | |
| # defined your arch | |
| arch = [ | |
| to_head( '..' ), | |
| to_cor(), | |
| to_begin(), | |
| to_Conv("conv1", 512, 64, offset="(0,0,0)", to="(0,0,0)", height=64, depth=64, width=2 ), |
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| \pic[shift={(0,0,0)}] at (0,0,0) | |
| {Box={ | |
| name=conv1, | |
| caption= , | |
| xlabel={{64, }}, | |
| zlabel=512, | |
| fill=\ConvColor, | |
| height=64, | |
| width=2, | |
| depth=64 |
Wazzabeee
/ CNN_ChatGPT.tex
Last active
January 21, 2023 01:37
LaTeX code generated from ChatGPT to visualize a Convolutional Neural Network (CNN) from the PlotNeuralNet package
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| \documentclass[border=15pt, multi, tikz]{standalone} | |
| \usepackage{import} | |
| \subimport{layers/}{init} | |
| \usetikzlibrary{positioning} | |
| \def\ConvColor{rgb:yellow,5;red,2.5;white,5} | |
| \def\ConvReluColor{rgb:yellow,5;red,5;white,5} | |
| \def\PoolColor{rgb:red,1;black,0.3} | |
| \begin{document} |
Wazzabeee
/ test_simple.tex
Created
January 21, 2023 00:40
LaTeX code generated from test_simple.py using PlotNeuralNet package
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| \documentclass[border=8pt, multi, tikz]{standalone} | |
| \usepackage{import} | |
| \subimport{../layers/}{init} | |
| \usetikzlibrary{positioning} | |
| \usetikzlibrary{3d} %for including external image | |
| \def\ConvColor{rgb:yellow,5;red,2.5;white,5} | |
| \def\ConvReluColor{rgb:yellow,5;red,5;white,5} | |
| \def\PoolColor{rgb:red,1;black,0.3} | |
| \def\UnpoolColor{rgb:blue,2;green,1;black,0.3} |
Wazzabeee
/ twitter_cron_job.pyw
Last active
January 19, 2023 01:37
Python script used to automate the scraping of recent tweets using a custom query via the Twitter API and the Tweepy library to build a dataset. This dataset contains tweets about Elon Musk's person and was used for sentimental analysis purposes.
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| import json | |
| import os | |
| import tweepy as tw | |
| CONSUMER_KEY = 'XXXXXXXXXXXXXXXXXXXXXXXXX' | |
| CONSUMER_SECRET = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' | |
| ACCESS_TOKEN = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' | |
| ACCESS_TOKEN_SECRET = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' | |
| BEARER_TOKEN = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' \ |