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similarity_word2vec
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  1. .gitattributes +1 -4
  2. README.md +4 -4
  3. app.py +29 -0
  4. inference_dict_for_word2vec.pkl +3 -0
  5. requirements.txt +0 -0
  6. text_to_seq.pkl +3 -0
  7. web_pages/index.html +16 -0
  8. word2vec_65_epochs.h5 +3 -0
.gitattributes CHANGED
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README.md CHANGED
@@ -1,10 +1,10 @@
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  ---
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  title: Similarity Word2vec
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- emoji: 🚀
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- colorFrom: gray
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- colorTo: pink
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  sdk: gradio
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- sdk_version: 3.29.0
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  app_file: app.py
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  pinned: false
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  ---
 
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  ---
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  title: Similarity Word2vec
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+ emoji: 🐠
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+ colorFrom: indigo
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+ colorTo: purple
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  sdk: gradio
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+ sdk_version: 3.1.4
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  app_file: app.py
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  pinned: false
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  ---
app.py ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+
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+ import pickle
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+ from tensorflow.keras.models import load_model
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+ from scipy import spatial
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+ import gradio as gr
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+
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+ model = load_model('word2vec_65_epochs.h5')
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+ model.pop()
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+ with open('text_to_seq.pkl', 'rb') as f:
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+ tokenizer = pickle.load(f)
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+ with open('inference_dict_for_word2vec.pkl', 'rb') as f:
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+ inference_dict = pickle.load(f)
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+
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+
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+ def get_answer(text):
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+ similarities = []
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+ ans = []
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+ seq = tokenizer.texts_to_sequences([text])
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+ pred = model.predict(seq)
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+ for j,i in enumerate(model.layers[0].get_weights()[0]):
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+ similarities.append([(1 - spatial.distance.cosine(pred[0], i)),j])
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+ similarities = sorted(similarities,key=lambda x: x[0],reverse=True)
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+ for i in range(10):
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+ ans.append((inference_dict[similarities[i][1]],similarities[i][0]))
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+ return f"{ans}"
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+
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+ demo = gr.Interface(fn=get_answer, inputs="text", outputs="label")
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+ demo.launch()
inference_dict_for_word2vec.pkl ADDED
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requirements.txt ADDED
Binary file (6.44 kB). View file
 
text_to_seq.pkl ADDED
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web_pages/index.html ADDED
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+ <!DOCTYPE html>
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+ <html lang="en">
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+ <head>
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+ <meta charset="UTF-8">
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+ <meta http-equiv="X-UA-Compatible" content="IE=edge">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+ <title>Find Similar Words</title>
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+ </head>
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+ <body>
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+ <form action="/predict" method="post">
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+ Enter a word: <input name="input_data" type="text"/>
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+ <input type="submit" value="PREDICT">
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+ </form>
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+
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+ </body>
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+ </html>
word2vec_65_epochs.h5 ADDED
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