10zinten commited on
Commit
ae4c24d
1 Parent(s): 57c0246

add literary_bo+esukhia_katen wordvectors

Browse files
.gitattributes CHANGED
@@ -27,3 +27,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  *.wordvectors filter=lfs diff=lfs merge=lfs -text
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  classical_bo.wordvectors.vectors.npy filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  *.wordvectors filter=lfs diff=lfs merge=lfs -text
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  classical_bo.wordvectors.vectors.npy filter=lfs diff=lfs merge=lfs -text
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+ word2vec.wordvectors.vectors.npy filter=lfs diff=lfs merge=lfs -text
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+ word2vec.wordvectorr filter=lfs diff=lfs merge=lfs -text
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+ word2vec.wordvectors filter=lfs diff=lfs merge=lfs -text
app.py CHANGED
@@ -1,7 +1,7 @@
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  from gensim.models import KeyedVectors
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  import gradio as gr
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- word_vectors_path = "classical_bo.wordvectors"
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  wv = KeyedVectors.load(str(word_vectors_path), mmap='r')
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  def format_to_html(sim_output):
@@ -38,9 +38,9 @@ def find_similarity(wordA, wordB):
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  return max([float(sim), 0.0])
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  title = "Word Similarity With Literary Word2Vec"
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- examples = ["སེམས་", "བླ་མ་", "སྟོབས་"]
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- assert isinstance(find_similarity(examples[0], examples[1]), float)
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  assert isinstance(find_similarity("ར་", "B"), str)
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  demo = gr.Interface(
@@ -48,7 +48,7 @@ demo = gr.Interface(
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  inputs=[gr.inputs.Textbox("Word A"), gr.inputs.Textbox("Word B")],
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  outputs="text",
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  title=title,
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- # examples=examples
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  ).launch()
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  # demo = gr.Blocks()
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  from gensim.models import KeyedVectors
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  import gradio as gr
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+ word_vectors_path = "word2vec.wordvectors"
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  wv = KeyedVectors.load(str(word_vectors_path), mmap='r')
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  def format_to_html(sim_output):
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  return max([float(sim), 0.0])
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  title = "Word Similarity With Literary Word2Vec"
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+ examples = [["བླ་མ་", "སློབ་མ་"], ["སྟོབས་", "ཤུགས་"]]
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+ assert isinstance(find_similarity(examples[0][1], examples[0][1]), float)
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  assert isinstance(find_similarity("ར་", "B"), str)
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  demo = gr.Interface(
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  inputs=[gr.inputs.Textbox("Word A"), gr.inputs.Textbox("Word B")],
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  outputs="text",
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  title=title,
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+ examples=examples
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  ).launch()
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  # demo = gr.Blocks()
classical_bo.wordvectors → word2vec.wordvectors RENAMED
@@ -1,3 +1,3 @@
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+ oid sha256:8849ebf43aed6ee87555dc789607dcb678030c3ec109b585e00941aa592df6ab
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+ size 10307724
classical_bo.wordvectors.vectors.npy → word2vec.wordvectors.vectors.npy RENAMED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 52513728
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+ oid sha256:57536a58a006f8a858b50a75a64f6f0431688b2d6939999fbd40cbe2ed8eb7dc
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