CesarLeblanc commited on
Commit
f5a3585
1 Parent(s): ccf126e

Update app.py

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -36,6 +36,7 @@ def return_habitat_image(habitat_label, habitat_score, confidence):
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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  if habitat_score*100 < confidence:
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
 
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  image = gr.Image(value=image_url)
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  return image
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@@ -52,6 +53,7 @@ def return_species_image(species):
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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  else:
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
 
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  image = gr.Image(value=image_url)
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  return image
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@@ -72,7 +74,7 @@ def masking(text, task):
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  pred = model(masked_text, top_k=1)
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  new_species = [pred[i][0]['token_str'] for i in range(len(pred))]
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  new_species = ' '.join(new_species)
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- text = text + ', ' + new_species
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  image = return_species_image(new_species)
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  return text, image
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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  if habitat_score*100 < confidence:
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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+ image_url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQoQPZxckzsiQyFh9w7Z7aJ38d23lvLQFj4QemMFjw2lvc18iQrzDYf7EzzmD7cFdfbsZU&usqp=CAU"
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  image = gr.Image(value=image_url)
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  return image
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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  else:
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  image_url = "https://www.salonlfc.com/wp-content/uploads/2018/01/image-not-found-scaled-1150x647.png"
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+ image_url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQoQPZxckzsiQyFh9w7Z7aJ38d23lvLQFj4QemMFjw2lvc18iQrzDYf7EzzmD7cFdfbsZU&usqp=CAU"
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  image = gr.Image(value=image_url)
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  return image
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  pred = model(masked_text, top_k=1)
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  new_species = [pred[i][0]['token_str'] for i in range(len(pred))]
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  new_species = ' '.join(new_species)
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+ text = f"The last species from this vegetation plot is probably {new_species}."
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  image = return_species_image(new_species)
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  return text, image
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