add dockerfile for pip

Dockerfile.pip

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+# This Dockerfile contains a python environment with scispacy and the relevant models installed.
+
+FROM python:3.6.8-jessie
+
+ENV LC_ALL=C.UTF-8
+ENV LANG=C.UTF-8
+
+WORKDIR /stage/scispacy
+
+RUN pip install scispacy
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_sm-0.1.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_md-0.1.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_craft_md-0.1.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bc5cdr_md-0.1.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bionlp13cg_md-0.1.0.tar.gz
+RUN pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_jnlpba_md-0.1.0.tar.gz
+
+# TODO(Mark): Move this to a library test when we release a new version.
+COPY test_pip_models.py test_pip_models.py
+
+ENTRYPOINT ["python"]

test_pip_models.py

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+
+
+import spacy
+
+
+def test_scispacy_models_can_load():
+
+    small = spacy.load("en_core_sci_sm")
+    medium = spacy.load("en_core_sci_md")
+    craft = spacy.load("en_ner_craft_md")
+    jnlpba = spacy.load("en_ner_jnlpba_md")
+    bc5cdr = spacy.load("en_ner_bc5cdr_md")
+    bionlp = spacy.load("en_ner_bionlp13cg_md")
+    print("All models can load!")
+
+if __name__ == "__main__":
+    test_scispacy_models_can_load()