init

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+nlp.p filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+import os
+import pickle
+# os.system('python -m spacy download en_core_web_sm')
+import spacy
+from spacy import displacy
+
+nlp = pickle.load(open("nlp.p", 'rb'))
+# nlp = model.to_disc('my_model')
+# nlp = spacy.from_disk("../spacy/final_2/")
+
+def text_analysis(text):
+    doc = nlp(text)
+    html = displacy.render(doc, style="ent", page=True)
+    html = (
+        "<div style='max-width:100%; max-height:360px; overflow:auto'>"
+        + html
+        + "</div>"
+    )
+    pos_count = {
+        "char_count": len(text),
+        "token_count": len(doc.ents),
+    }
+    # pos_tokens = []
+    #
+    # for token in doc:
+    #     pos_tokens.extend([(token.text, "NOUN"), (" ", None)])
+
+    return pos_count, html
+
+demo = gr.Interface(
+    text_analysis,
+    gr.Textbox(placeholder="Enter sentence here..."),
+    ["json", "html"],
+    examples=[
+        ["Создать задачу : Подготовить отчет к 15:00 завтра на Анну"],
+        ["Создать заметку: Проверить документацию к 9 : 30 утра завтра на Дениса"],
+    ],
+)
+
+demo.launch()

nlp.p

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48758dbea75c3029d4867481b9e0335f12e4f64c264b0ffad5970dc75f603f49
+size 4082413

requirements.txt

@@ -0,0 +1 @@
+spacy