add support for Docker + ovh ai platform

Dockerfile

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+FROM python:3.7
+
+EXPOSE 8501
+
+WORKDIR /workspace
+
+COPY requirements.txt common_voice.py ./
+
+RUN pip install -r requirements.txt
+
+EXPOSE 8501
+
+CMD ["streamlit", "run", "common_voice.py"]

dl_all_data.py

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+from datasets import load_dataset
+
+def cache_dataset(language,split=None):
+    dat=load_dataset("common_voice",language,split=split)
+    if split:
+        return pd.DataFrame(dat)
+    else:
+        return dat
+
+language_codes=['ab', 'ar', 'as', 'br', 'ca', 'cnh', 'cs', 'cv', 'cy', 'de', 'dv', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy-NL', 'ga-IE', 'hi', 'hsb', 'hu', 'ia', 'id', 'it', 'ja', 'ka', 'kab', 'ky', 'lg', 'lt', 'lv', 'mn', 'mt', 'nl', 'or', 'pa-IN', 'pl', 'pt', 'rm-sursilv', 'rm-vallader', 'ro', 'ru', 'rw', 'sah', 'sl', 'sv-SE', 'ta', 'th', 'tr', 'tt', 'uk', 'vi', 'vot', 'zh-CN', 'zh-HK', 'zh-TW']
+
+pool = Pool(processes=len(language_codes))
+
+pool.map(cache_dataset, language_codes)

run_me.sh

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+ovhai job run -v cache@GRA/dataset/cache:/root/.cache:RW:cache -p 8501 -v cache@GRA/workspace:/workspace:RW:cache --unsecure-http databuzzword/streamlit-common-voice