Jacobo commited on
Commit
fb46644
1 Parent(s): cb9ba15

first commit

Browse files

Files changed (4) hide show
  1. README.md +4 -4
  2. app.py +106 -0
  3. logo.png +0 -0
  4. requirements.txt +10 -0
README.md CHANGED
@@ -1,8 +1,8 @@
1
  ---
2
- title: Syntax
3
- emoji: 💩
4
- colorFrom: indigo
5
- colorTo: blue
6
  sdk: streamlit
7
  app_file: app.py
8
  pinned: false
1
  ---
2
+ title: Ancient_Greek_Spacy_Models
3
+ emoji: 🐨
4
+ colorFrom: yellow
5
+ colorTo: green
6
  sdk: streamlit
7
  app_file: app.py
8
  pinned: false
app.py ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import List, Sequence, Tuple, Optional, Dict, Union, Callable
2
+ import spacy
3
+ from spacy import displacy
4
+ from spacy.language import Language
5
+ import streamlit as st
6
+ from spacy_streamlit import visualize_parser
7
+ import base64
8
+ from PIL import Image
9
+ import deplacy
10
+ import graphviz
11
+
12
+
13
+
14
+
15
+
16
+ st.set_page_config(layout="wide")
17
+
18
+ st.title("Ancient Greek Analyzer")
19
+
20
+ st.markdown("Here you'll find four spaCy models for processing ancient Greek. They have been trained with the Universal Dependencies datasets *Perseus* and *Proiel*. We provide two types of models for each dataset. The '_lg' models were built with tok2vec pretrained embeddings and fasttext vectors, while the '_tfr' models have a transfomers layer. You can choose among models to compare their performance. More information about the models can be found in the [Huggingface Models Hub] (https://huggingface.co/Jacobo).")
21
+
22
+ st.sidebar.image("logo.png", use_column_width=False, width=150, caption="\n provided by Diogenet")
23
+
24
+ st.sidebar.title("Choose model:")
25
+ spacy_model = st.sidebar.selectbox("", ["grc_ud_perseus_lg", "grc_ud_proiel_lg"])
26
+
27
+ st.header("Text to analyze:")
28
+ text = st.text_area("", "Πλάτων ὁ Περικτιόνης τὸ γένος ἀνέφερεν εἰς Σόλωνα.")
29
+
30
+
31
+ nlp = spacy.load(spacy_model)
32
+ doc = nlp(text)
33
+
34
+ def get_html(html: str):
35
+ """Convert HTML so it can be rendered."""
36
+ WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem; margin-bottom: 2.5rem">{}</div>"""
37
+ # Newlines seem to mess with the rendering
38
+ html = html.replace("\n", " ")
39
+ return WRAPPER.format(html)
40
+
41
+ def get_svg(svg: str, style: str = "", wrap: bool = True):
42
+ """Convert an SVG to a base64-encoded image."""
43
+ b64 = base64.b64encode(svg.encode("utf-8")).decode("utf-8")
44
+ html = f'<img src="data:image/svg+xml;base64,{b64}" style="{style}"/>'
45
+ return get_html(html) if wrap else html
46
+
47
+ def visualize_parser(
48
+ doc: spacy.tokens.Doc,
49
+ *,
50
+ title: Optional[str] = "Dependency parse & part of speech",
51
+ key: Optional[str] = None,
52
+ ) -> None:
53
+ """Visualizer for dependency parses."""
54
+ if title:
55
+ st.header(title)
56
+ cols = st.columns(4)
57
+ split_sents = cols[0].checkbox(
58
+ "Split sentences", value=True, key=f"{key}_parser_split_sents"
59
+ )
60
+ options = {
61
+ "collapse_punct": cols[1].checkbox(
62
+ "Collapse punct", value=True, key=f"{key}_parser_collapse_punct"
63
+ ),
64
+ "compact": cols[3].checkbox("Compact mode", value=True, key=f"{key}_parser_compact"),
65
+ }
66
+ docs = [span.as_doc() for span in doc.sents] if split_sents else [doc]
67
+ for sent in docs:
68
+ html = displacy.render(sent, options=options, style="dep")
69
+ # Double newlines seem to mess with the rendering
70
+ html = html.replace("\n\n", "\n")
71
+ if split_sents and len(docs) > 1:
72
+ st.markdown(f"> {sent.text}")
73
+ st.write(get_svg(html), unsafe_allow_html=True)
74
+
75
+
76
+ visualize_parser(doc)
77
+
78
+ #graph_r = deplacy.render(doc)
79
+
80
+ #st.graphviz_chart(graph_r)
81
+
82
+
83
+ graph_dot = deplacy.dot(doc)
84
+
85
+ #graphviz.Source(deplacy.dot(doc))
86
+
87
+ st.graphviz_chart(graph_dot)
88
+
89
+
90
+
91
+
92
+
93
+ #st.sidebar.title("Model 2")
94
+ #spacy_model2 = st.sidebar.selectbox("Model 2", ["grc_ud_perseus_lg", "grc_ud_proiel_lg"])
95
+
96
+ #st.header("Text to analyze:")
97
+ #text = st.text_area("", "Πλάτων ὁ Περικτιόνης τὸ γένος ἀνέφερεν εἰς Σόλωνα.")
98
+
99
+
100
+ #nlp = spacy.load(spacy_model2)
101
+ #doc2 = nlp(text)
102
+
103
+ #visualize_parser(doc2)
104
+
105
+ #visualizers = ["pos", "dep"]
106
+ #spacy_streamlit.visualize(models, default_text,visualizers)
logo.png ADDED
Binary file
requirements.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
1
+ spacy==3.1.4
2
+ spacy-streamlit==1.0.2
3
+ watchdog==2.1.6
4
+ deplacy
5
+ graphviz
6
+ https://huggingface.co/Jacobo/grc_ud_perseus_lg/resolve/main/grc_ud_perseus_lg-any-py3-none-any.whl
7
+ https://huggingface.co/Jacobo/grc_ud_perseus_trf/resolve/main/grc_ud_perseus_trf-any-py3-none-any.whl
8
+
9
+
10
+