edit app.py

.gitignore

@@ -1,2 +1,4 @@
 .venv/
 __pycache__/
+
+.DS_Store

app.py

@@ -62,34 +62,30 @@ open_domain_examples = [
 
 zero_shot_examples = [
  [
- "examples/Ursus-arctos.jpeg",
- "brown bear\nblack bear\npolar bear\nkoala bear\ngrizzly bear",
+ "examples/Acropora-gemmifera.jpg",
+ "Acropora aculeus\nAcropora acuminata\nAcropora anthocercis\nAcropora appressa\nAcropora arabensis"
  ],
- ["examples/milk-snake.png", "coral snake\nmilk snake"],
- ["examples/coral-snake.jpeg", "coral snake\nmilk snake"],
+ ["examples/porities_lobata.jpg", "Porities lobata\nPorites astreoides"],
+ ["examples/Euphyllia_paraancora.jpg", "Euphyllia paraancora\nEuphyllia paradivisa"],
  [
- "examples/Carnegiea-gigantea.png",
- "Carnegiea gigantea\nSchlumbergera opuntioides\nMammillaria albicoma",
+ "examples/Montipora_patula.jpg",
+ "Montipora patula\nMontipora peltiformis \nMontipora saudii\nMontipora caliculata\nMontipora capitata\nMontipora cebuensis\nMontipora carinata",
  ],
  [
- "examples/Amanita-muscaria.jpeg",
- "Amanita fulva\nAmanita vaginata (grisette)\nAmanita calyptrata (coccoli)\nAmanita crocea\nAmanita rubescens (blusher)\nAmanita caesarea (Caesar's mushroom)\nAmanita jacksonii (American Caesar's mushroom)\nAmanita muscaria (fly agaric)\nAmanita pantherina (panther cap)",
+ "examples/Astreopora_listeri.jpg",
+ "Animalia Cnidaria Anthozoa Scleractinia Acroporidae Acropora hyacinthus\nAnimalia Cnidaria Anthozoa Scleractinia Acroporidae Acropora aculeus\nAnimalia Cnidaria Anthozoa Scleractinia Acroporidae Acropora anthocercis\nAnimalia Cnidaria Anthozoa Scleractinia Acroporidae Acropora millepora\nAnimalia Cnidaria Anthozoa Scleractinia Acroporidae Acropora gemmifera",
  ],
  [
- "examples/Actinostola-abyssorum.png",
- "Animalia Cnidaria Hexacorallia Actiniaria Actinostolidae Actinostola abyssorum\nAnimalia Cnidaria Hexacorallia Actiniaria Actinostolidae Actinostola bulbosa\nAnimalia Cnidaria Hexacorallia Actiniaria Actinostolidae Actinostola callosa\nAnimalia Cnidaria Hexacorallia Actiniaria Actinostolidae Actinostola capensis\nAnimalia Cnidaria Hexacorallia Actiniaria Actinostolidae Actinostola carlgreni",
+ "examples/Turbinaria_heronensis.jpg",
+ "Turbinaria heronensis\nTurbinaria mesenterina\nTurbinaria patula\nTurbinaria peltata",
  ],
  [
- "examples/Sarcoscypha-coccinea.jpeg",
- "scarlet elf cup (coccinea)\nscharlachroter kelchbecherling (austriaca)\ncrimson cup (dudleyi)\nstalked scarlet cup (occidentalis)",
+ "examples/Montipora_peltiformis.jpg",
+ "Montipora peltiformis\nMontipora capricornis\nMontipora carinata\nMontipora cebuensis\nMontipora circumvallata",
  ],
  [
- "examples/Onoclea-hintonii.jpg",
- "Onoclea attenuata\nOnoclea boryana\nOnoclea hintonii\nOnoclea intermedia\nOnoclea sensibilis",
- ],
- [
- "examples/Onoclea-sensibilis.jpg",
- "Onoclea attenuata\nOnoclea boryana\nOnoclea hintonii\nOnoclea intermedia\nOnoclea sensibilis",
+ "examples/Agaricia_agaricites.jpg",
+ "Agaricia agaricites\nAgaricia fragilis\nAgaricia grahamae\nAgaricia humilis\nAgaricia lamarcki",
  ],
 ]
 
@@ -215,31 +211,31 @@ if __name__ == "__main__":
  
  with gr.Column():
  # display sample image of top predicted taxon
- sample_img = gr.Image(label = "Sample Image of Predicted Taxon", 
- height = 400, 
- show_download_button = False)
+ # sample_img = gr.Image(label = "Sample Image of Predicted Taxon", 
+ # height = 400, 
+ # show_download_button = False)
  
- taxon_url = gr.HTML(label = "More Information", 
- elem_id = "url"
- )
-
- with gr.Row():
- with gr.Column():
- rank_dropdown = gr.Dropdown(
- label="Taxonomic Rank",
- info="Which taxonomic rank to predict. Fine-grained ranks (genus, species) are more challenging.",
- choices=ranks,
- value="Species",
- type="index",
- )
- open_domain_btn = gr.Button("Submit", variant="primary")
- with gr.Column():
+ # taxon_url = gr.HTML(label = "More Information", 
+ # elem_id = "url"
+ # )
  open_domain_output = gr.Label(
  num_top_classes=k,
  label="Prediction",
  show_label=True,
  value=None,
  )
+
+
+ with gr.Row():
+ rank_dropdown = gr.Dropdown(
+ label="Taxonomic Rank",
+ info="Which taxonomic rank to predict. Fine-grained ranks (genus, species) are more challenging.",
+ choices=ranks,
+ value="Species",
+ type="index",
+ )
+ open_domain_btn = gr.Button("Submit", variant="primary")
+ 
  # open_domain_flag_btn = gr.Button("Flag Mistake", variant="primary")
 
  with gr.Row():
@@ -273,11 +269,11 @@ if __name__ == "__main__":
  with gr.Row():
  with gr.Column():
  classes_txt = gr.Textbox(
- placeholder="Canis familiaris (dog)\nFelis catus (cat)\n...",
+ placeholder="Montipora peltiformis \nMontipora saudii...",
  lines=3,
  label="Classes",
  show_label=True,
- info="Use taxonomic names where possible; include common names if possible.",
+ info="Use taxonomic names",
  )
  zero_shot_btn = gr.Button("Submit", variant="primary")