reuben

from torch import nn
from torch.utils.data import DataLoader, Dataset


class MyModel(nn.Module):
    def __init__(self):
        super().__init__()

    def forward(self, x):
        return x

reuben

:root {
  --uc-toolbar-height: 32px;
}

:root:not([uidensity="compact"]) {
  --uc-toolbar-height: 34px;
}

#TabsToolbar > * {
  visibility: collapse !important;

reuben

"""
Example of how to synthesize speech using the Coqui Studio API.
Streams the download/playback of the audio.

Usage:

  $ COQUI_API_TOKEN="put your API token here" python coqui_api_stream.py --text "Hi there!"

To specify the voice to use, pass eg: `--voice 98d4af7d-aca0-4a70-a26e-4ca59023a248`

reuben

import sys
import requests
import argparse
import json
import os
from requests_toolbelt.multipart.encoder import MultipartEncoder


try:
    API_TOKEN = os.environ["COQUI_API_TOKEN"]

reuben

#include <FastLED.h>

#define LED_PIN     13
#define NUM_LEDS    54
#define BRIGHTNESS  64
#define LED_TYPE    WS2811
#define COLOR_ORDER GRB
CRGB leds[NUM_LEDS];

#define UPDATES_PER_SECOND 100

reuben

Client ID project/deepspeech/worker/macos-heavy-b-1 does not have sufficient scopes and is missing the following scopes:

```
auth:websocktunnel-token:taskcluster-net/proj-deepspeech.ds-macos-heavy-b-1.60099
```

This request requires the client to satisfy the following scope expression:

```
auth:websocktunnel-token:taskcluster-net/proj-deepspeech.ds-macos-heavy-b-1.60099

reuben

Client ID project/deepspeech/worker/macos-heavy-b-1 does not have sufficient scopes and is missing the following scopes:

```
auth:websocktunnel-token:taskcluster-net/proj-deepspeech.ds-macos-heavy-b-1.60099
```

This request requires the client to satisfy the following scope expression:

```
auth:websocktunnel-token:taskcluster-net/proj-deepspeech.ds-macos-heavy-b-1.60099

reuben

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
from __future__ import absolute_import, division, print_function

import argparse
import itertools
import tempfile
import os
import shlex
import shutil

reuben

import argparse
import deepspeech as ds
import numpy as np
import shlex
import subprocess
import sys

parser = argparse.ArgumentParser(description='DeepSpeech speech-to-text from microphone')
parser.add_argument('--model', required=True,
                    help='Path to the model (protocol buffer binary file)')

reuben

diff --git a/src/jobs.js b/src/jobs.js
index 6ea979e..fbbed59 100644
--- a/src/jobs.js
+++ b/src/jobs.js
@@ -554,7 +554,11 @@ exports.initApp = function(app) {
             if (groupsModule.canAccessJob(req.user, dbjob)) {
                 let jobdir = _getJobDir(dbjob)
                 res.status(200).type('tar.gz')
-                tar.pack(jobdir).pipe(zlib.createGzip()).pipe(res)
+                tar.pack(jobdir, {