I hereby claim:
- I am reuben on github.
- I am reuben_ (https://keybase.io/reuben_) on keybase.
- I have a public key whose fingerprint is B19B 574B E186 B1BF CD23 9A86 B21F EB8E D85D 838C
To claim this, I am signing this object:
""" | |
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` |
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"] |
#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 |
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 |
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 |
#!/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 |
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)') |
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, { |
I hereby claim:
To claim this, I am signing this object:
def model(batch_x, seq_length, dropout): | |
def clipped_relu(x): | |
return tf.minimum(tf.nn.relu(x), relu_clip) | |
with slim.arg_scope([slim.variable], device="/cpu:0"): | |
with slim.arg_scope([slim.fully_connected], activation_fn=clipped_relu): | |
with slim.arg_scope([slim.dropout], keep_prob=(1.0 - dropout)): | |
fc_1 = slim.dropout(slim.fully_connected(batch_x, n_hidden_1)) | |
fc_2 = slim.dropout(slim.fully_connected(fc_1, n_hidden_2)) | |
fc_3 = slim.dropout(slim.fully_connected(fc_2, n_hidden_3)) |