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# Assembly AI speech to text | |
def assemblyai_stt(audio_filename): | |
with open(audio_filename , "rb") as f: | |
response = requests.post(base_url + "/upload", | |
headers=headers, | |
data=f) | |
upload_url = response.json()["upload_url"] | |
data = { | |
"audio_url": upload_url |
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# PyTube function for YouTube video | |
def save_audio(url): | |
yt = YouTube(url) | |
video = yt.streams.filter(only_audio=True).first() | |
out_file = video.download() | |
base, ext = os.path.splitext(out_file) | |
file_name = base + '.mp3' | |
try: | |
os.rename(out_file, file_name) | |
except WindowsError: |
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import streamlit as st | |
import fastai | |
from deoldify.visualize import * | |
def image_colorizer(url): | |
colorizer = get_image_colorizer(artistic=True) | |
source_url = url | |
render_factor = 35 | |
watermarked = True |
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# -*- coding: utf-8 -*- | |
"""Reverse SD.ipynb | |
Automatically generated by Colaboratory. | |
Original file is located at | |
https://colab.research.google.com/drive/1ci11cstH7uM9SPb6q2hb7f-IiZHYvcDq | |
""" | |
!pip install clip-interrogator==0.6.0 |
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HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem">{}</div>""" |
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from fastapi import FastAPI | |
import pickle | |
import numpy as np | |
from sklearn.feature_extraction.text import TfidfVectorizer | |
from sklearn.naive_bayes import MultinomialNB | |
app = FastAPI() | |
# Load the Tfidf and Naive Bayes models | |
tfidf = pickle.load(open("tf_idf.pkt", "rb")) |
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# -*- coding: utf-8 -*- | |
"""Toxicity Classifier NLP.ipynb | |
Automatically generated by Colaboratory. | |
Original file is located at | |
https://colab.research.google.com/drive/1UUZzQgrRUcLujGxbmhE30AlQALMsYXCm | |
""" | |
# Commented out IPython magic to ensure Python compatibility. |
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import noisereduce as nr | |
from scipy.io import wavfile | |
# load data | |
rate, data = wavfile.read("voice_with_noise.wav") | |
# perform noise reduction | |
reduced_noise = nr.reduce_noise(y=data, sr=rate) It was originally published on https://www.apriorit.com/ |
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from pydub import AudioSegment | |
mysound = AudioSegment.from_wav("stereo_infile.wav") | |
# set mono channel | |
mysound = mysound.set_channels(1) | |
# save the result | |
mysound.export("mono_outfile.wav", format="wav") It was originally published on https://www.apriorit.com/ |
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## How to activate anaconda from terminal? | |
1. open terminal and write: | |
``` | |
conda activate | |
``` | |
It will show base activated succesfully. | |
## How to deactivate anaconda from terminal? | |
``` | |
conda deactivate |