SajjadAyoubi commited on
Commit
c3b6f23
·
1 Parent(s): 53f43bd

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -13,7 +13,7 @@ links = np.load('data.npy', allow_pickle=True)
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  def get_html(url_list):
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- html = "<div style='margin-top: 50px; max-width: 1000px; display: flex; flex-wrap: wrap; justify-content: space-evenly'>"
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  for url in url_list:
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  html2 = f"<img style='height: 200px; margin: 2px' src='{escape(url)}'>"
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  html = html + html2
@@ -21,7 +21,7 @@ def get_html(url_list):
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  return html
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- def image_search(query, top_k=8):
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  with torch.no_grad():
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  text_embedding = text_encoder(**tokenizer(query, return_tensors='pt')).pooler_output
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  values, indices = torch.cosine_similarity(text_embedding, image_embeddings).sort(descending=True)
@@ -32,8 +32,7 @@ description = '''
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  # Persian (fa) image search
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  - Enter your query and hit enter
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- ## Built with [CLIP-fa](https://github.com/sajjjadayobi/CLIPfa) model
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- - Made with ❤️ in my basement
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  '''
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  def get_html(url_list):
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+ html = "<div style='margin-top: 50px; max-width: 1100px; display: flex; flex-wrap: wrap; justify-content: space-evenly'>"
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  for url in url_list:
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  html2 = f"<img style='height: 200px; margin: 2px' src='{escape(url)}'>"
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  html = html + html2
 
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  return html
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+ def image_search(query, top_k=10):
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  with torch.no_grad():
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  text_embedding = text_encoder(**tokenizer(query, return_tensors='pt')).pooler_output
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  values, indices = torch.cosine_similarity(text_embedding, image_embeddings).sort(descending=True)
 
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  # Persian (fa) image search
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  - Enter your query and hit enter
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+ Built with [CLIP-fa](https://github.com/sajjjadayobi/CLIPfa) model and 25k images from Unsplash
 
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  '''
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