Update conda environment

Author: Marcin Kardas

README.md

@@ -46,7 +46,7 @@ See the [evaluation](notebooks/evaluation.ipynb) notebook for the full example o
 You can download pretrained models here:
 
 - [axcell](https://github.com/paperswithcode/axcell/releases/download/v1.0/models.tar.xz) — an archive containing the taxonomy, abbreviations, table type classifier and table segmentation model. See the [results-extraction](notebooks/results-extraction.ipynb) notebook for an example of how to load and run the models 
-- [language model](https://github.com/paperswithcode/axcell/releases/download/v1.0/lm.xz) — [ULMFiT](https://arxiv.org/abs/1801.06146) language model pretrained on the ArxivPapers dataset
+- [language model](https://github.com/paperswithcode/axcell/releases/download/v1.0/lm.pth.xz) — [ULMFiT](https://arxiv.org/abs/1801.06146) language model pretrained on the ArxivPapers dataset
 
 ## Results
 

environment.yml

@@ -1,4 +1,4 @@
-name: xtables
+name: axcell
 channels:
 - conda-forge
 - defaults
@@ -7,9 +7,9 @@ dependencies:
 - html5lib=1.0.1
 - beautifulsoup4=4.7.1
 - lxml=4.3.4
-- pandas=0.24.2
+- pandas=0.25.3
 - beautifulsoup4=4.7.1
-- numpy=1.15.4
+- numpy=1.18.1
 - python=3.7.1
 - pyahocorasick=1.4.0
 - Unidecode=1.0.23
@@ -19,5 +19,19 @@ dependencies:
 - python-magic=0.4.15
 - docker-py=4.1.0
 - python-magic=0.4.15
-- html5lib=1.0.1
 - seaborn
+- docker-compose=1.25.5
+- freetype=2.10.1
+- numba=0.48.0
+- pip:
+    - sentencepiece
+    - elasticsearch==6.3.1
+    - elasticsearch-dsl==6.3.1
+    - sklearn
+    - regex
+    - scispacy
+    - psutil==5.6.7
+    - "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.5/en_core_web_sm-2.2.5.tar.gz"
+    - "https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.4/en_core_sci_sm-0.2.4.tar.gz"
+    - fastai==1.0.55
+    - .

setup.py

@@ -13,7 +13,7 @@
 #     text = read_file.read()
 # pattern = re.compile(r"^__version__ = ['\"]([^'\"]*)['\"]", re.MULTILINE)
 # version = pattern.search(text).group(1)
-version="1.0-alpha"
+version="1.0.0"
 
 # # Extract long_description
 # path = os.path.join(directory, 'README.md')