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from flask import Flask, request, jsonify, send_file
import tempfile
import whisper
import gtts
import os
from openai import OpenAI
client = OpenAI()

conversation = []

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import pyaudio
import wave
import requests
import os 
import sys
import webrtcvad

def record_audio(filename, duration=5):
    vad = webrtcvad.Vad(1)  # Set aggressiveness from 0 to 3
    sample_rate = 16000     # Sample rate suitable for VAD

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!curl -O https://calmcode.io/datasets/pokemon.json

import pandas
import weave
from weave.ecosystem import openai
from weave.ecosystem import umap
from weave.ecosystem import hdbscan

raw_data = pandas.read_json('./pokemon.json')

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import wandb

# 1: Define objective/training function
def objective(config):
    score = config.x ** 3 + config.y
    return score

def main():
    wandb.init(project='my-first-sweep')
    score = objective(wandb.config)

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import numpy as np

import torch
import torch.nn as nn
import numpy as np
import panel as pn
from ipywidgets import widgets
from ipywidgets import interact, interactive, fixed, interact_manual
from IPython.display import display
import holoviews as hv

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import numpy as np
import panel as pn
import holoviews as hv 
hv.extension("bokeh")
# hv.extension('matplotlib')
from holoviews.streams import Stream, Params
from scipy.io import wavfile
from scipy.signal import spectrogram

rate, data = wavfile.read('/filepath.wav')

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## See this blog for original post about jp_proxy_widget and wavesurfer.js https://blog.ouseful.info/2020/01/11/rapid-widget-prototyping-using-third-party-javascript-packages-in-jupyter-notebooks/ 

import jp_proxy_widget
import ipywidgets as widgets

widget = jp_proxy_widget.JSProxyWidget()

js = "https://unpkg.com/wavesurfer.js"
js2="https://unpkg.com/wavesurfer.js/dist/plugin/wavesurfer.spectrogram.min.js"
url = "https://ia902606.us.archive.org/35/items/shortpoetry_047_librivox/song_cjrg_teasdale_64kb.mp3"

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from ipywidgets import IntSlider, ToggleButton, Text
from IPython.display import display, Audio, Javascript
from scipy.io import wavfile
import numpy as np
from matplotlib import pyplot as plt
import ipywidgets

t = Text(value='0',
         description='Elapsed Time:',
         style = {'description_width': 'initial'},

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import scipy.io as sio
import numpy as np
import os
import gc
import six.moves.urllib as urllib
import cv2
import time
import xml.etree.cElementTree as ET
import random
import shutil as sh

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# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <[email protected]>