parler-tts-descriptions-v2.ipynb

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   "source": [
    "### Prepare Huggingface Access"
   ]
  },
  {
   "cell_type": "code",
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    "tags": []
   },
   "outputs": [],
   "source": [
    "from huggingface_hub import HfApi, HfFolder\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "853a33e0",
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     "status": "completed"
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    "tags": []
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   "outputs": [],
   "source": [
    "os.environ['HF_TOKEN'] = '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'"
   ]
  },
  {
   "cell_type": "code",
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     "status": "completed"
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    "tags": []
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   "outputs": [],
   "source": [
    "hf_api = HfApi()\n",
    "HfFolder.save_token(os.environ['HF_TOKEN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "efa02571",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logged in as: Amadeus99\n"
     ]
    }
   ],
   "source": [
    "user_info = hf_api.whoami()\n",
    "print(f\"Logged in as: {user_info['name']}\")"
   ]
  },
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   "source": [
    "### Load Dataset"
   ]
  },
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       "README.md:   0%|          | 0.00/1.04k [00:00<?, ?B/s]"
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       "train-00000-of-00001.parquet:   0%|          | 0.00/7.71M [00:00<?, ?B/s]"
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      "text/plain": [
       "Generating train split:   0%|          | 0/20440 [00:00<?, ? examples/s]"
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   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "dataset = load_dataset(\"Amadeus99/youtube-transcript-dataset-processed\")"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "import random\n",
    "\n",
    "def generate_description(row):\n",
    "    templates = [\n",
    "        \"A {gender} delivers a speech in {speech_monotony} manner. The recording is {reverberation} with {sdr_noise}. The pace of speech is {speaking_rate}.\",\n",
    "        \"In a {reverberation} environment, a {gender} speaks with {speech_monotony} voice and the speech is {sdr_noise}. The delivery pace is {speaking_rate}.\",\n",
    "        \"The speech is given by a {gender} in {speech_monotony} tone. It is recorded in a {reverberation} setting with {sdr_noise}. The speaker delivers it at a {speaking_rate} pace.\",\n",
    "        \"A {gender} speaks in a {speech_monotony} tone. The speech is recorded in a {reverberation} environment with {sdr_noise}. The delivery pace is {speaking_rate}.\",\n",
    "        \"A {gender} speaker delivers their speech in {speech_monotony} voice. The recording is {reverberation} with {sdr_noise}. The pace of delivery is {speaking_rate}.\",\n",
    "    ]\n",
    "    \n",
    "    # Randomly select a template\n",
    "    template = random.choice(templates)\n",
    "    \n",
    "    # Format and return the description\n",
    "    return template.format(\n",
    "        gender=row[\"gender\"],\n",
    "        speech_monotony=row[\"speech_monotony\"],\n",
    "        reverberation=row[\"reverberation\"],\n",
    "        sdr_noise=row[\"sdr_noise\"],\n",
    "        speaking_rate=row[\"speaking_rate\"]\n",
    "    )\n"
   ]
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       "Map:   0%|          | 0/20440 [00:00<?, ? examples/s]"
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   "source": [
    "processed_dataset = dataset.map(\n",
    "    lambda row: {\"text_description\": generate_description(row)},\n",
    "    batched=False\n",
    ")"
   ]
  },
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       "Uploading the dataset shards:   0%|          | 0/1 [00:00<?, ?it/s]"
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       "CommitInfo(commit_url='https://huggingface.co/datasets/Amadeus99/youtube-transcript-dataset-processed/commit/4c9caa7b7f8ce778b740dcf25df4f4690778e044', commit_message='Upload dataset', commit_description='', oid='4c9caa7b7f8ce778b740dcf25df4f4690778e044', pr_url=None, repo_url=RepoUrl('https://huggingface.co/datasets/Amadeus99/youtube-transcript-dataset-processed', endpoint='https://huggingface.co', repo_type='dataset', repo_id='Amadeus99/youtube-transcript-dataset-processed'), pr_revision=None, pr_num=None)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processed_dataset.push_to_hub(\"youtube-transcript-dataset-processed\")"
   ]
  }
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