jdwebprogrammer

import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential

class SimpleGAN:
    def __init__(self, input_dim, generator_output_dim, discriminator_output_dim):
        self.input_dim = input_dim
        self.generator_output_dim = generator_output_dim

jdwebprogrammer

import numpy as np
import matplotlib.pyplot as plt
from sklearn.ensemble import IsolationForest

class AnomalyDetectionIsolationForest:
    def __init__(self, contamination=0.05, random_state=None):
        """
        Initialize the AnomalyDetectionIsolationForest instance.

        Parameters:

jdwebprogrammer

import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA

class DimensionalityReductionPCA:
    def __init__(self, n_components=None):
        """
        Initialize the DimensionalityReductionPCA instance.

        Parameters:

jdwebprogrammer

import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs

class KMeansClustering:
    def __init__(self, n_clusters=3, random_state=0):
        """
        Initialize the KMeansClustering instance.

jdwebprogrammer

import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs

# Generate synthetic data for clustering
data, _ = make_blobs(n_samples=300, centers=4, random_state=42)

# Create a K-Means clustering model
kmeans = KMeans(n_clusters=4, random_state=0)

jdwebprogrammer

import tempfile
from neon_tts_plugin_coqui import CoquiTTS

LANGUAGES = list(CoquiTTS.langs.keys())
coquiTTS = CoquiTTS()

def tts(text: str):
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        coquiTTS.get_tts(text, fp, speaker = {"language" : "en"})
        return fp.name

jdwebprogrammer

import tempfile
import gradio as gr
from neon_tts_plugin_coqui import CoquiTTS

LANGUAGES = list(CoquiTTS.langs.keys())
coquiTTS = CoquiTTS()

def tts(text: str, language: str):
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        coquiTTS.get_tts(text, fp, speaker = {"language" : language})

jdwebprogrammer

import json
from bs4 import BeautifulSoup

def html_to_json(html_file, output_file):
    with open(html_file, 'r') as f:
        soup = BeautifulSoup(f, 'lxml')
    
    data = {}
    for tag in soup.find_all():
        if not tag.name in data: