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Runtime error
CesarLeblanc
commited on
Commit
•
7145ecb
1
Parent(s):
51f1003
app.py
CHANGED
@@ -2,11 +2,10 @@ import gradio as gr
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from transformers import pipeline
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import requests
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from bs4 import BeautifulSoup
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import random
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# Initialize models
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classification_model = pipeline("text-classification", model="
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mask_model = pipeline("fill-mask", model="
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def return_habitat_image(habitat_label):
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floraveg_url = f"https://floraveg.eu/habitat/overview/{habitat_label}"
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@@ -143,6 +142,7 @@ def masking(text):
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return text, image
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with gr.Blocks() as demo:
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gr.Markdown("""<h1 style="text-align: center;">Pl@ntBERT</h1>""")
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with gr.Tab("Vegetation plot classification"):
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@@ -150,13 +150,13 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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species = gr.Textbox(lines=2, label="Species", placeholder="Enter a list of comma-separated binomial names here.")
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top_k =
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with gr.Column():
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text_output_1 = gr.Textbox()
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text_output_2 = gr.Image()
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text_button = gr.Button("Classify")
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gr.Markdown("""<h5 style="text-align: center;">An example of input</h5>""")
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gr.Examples([["sparganium erectum, calystegia sepium, persicaria amphibia"]], [species], [text_output_1, text_output_2], classification, True)
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with gr.Tab("Missing species finding"):
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gr.Markdown("""<h3 style="text-align: center;">Finding the missing species!</h3>""")
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@@ -172,4 +172,4 @@ with gr.Blocks() as demo:
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text_button.click(classification, inputs=[species], outputs=[text_output_1, text_output_2])
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image_button.click(masking, inputs=[species_2], outputs=[image_output_1, image_output_2])
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demo.launch()
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from transformers import pipeline
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import requests
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from bs4 import BeautifulSoup
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# Initialize models
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classification_model = pipeline("text-classification", model="models/text_classification_model", tokenizer="models/text_classification_model")
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mask_model = pipeline("fill-mask", model="models/fill_mask_model", tokenizer="models/fill_mask_model", top_k=100)
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def return_habitat_image(habitat_label):
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floraveg_url = f"https://floraveg.eu/habitat/overview/{habitat_label}"
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return text, image
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with gr.Blocks() as demo:
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gr.Markdown("""<h1 style="text-align: center;">Pl@ntBERT</h1>""")
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with gr.Tab("Vegetation plot classification"):
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with gr.Row():
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with gr.Column():
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species = gr.Textbox(lines=2, label="Species", placeholder="Enter a list of comma-separated binomial names here.")
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top_k = gr.Slider(1, 5, value=1, label="Top-k", info="Choose between 1 and 5.")
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with gr.Column():
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text_output_1 = gr.Textbox()
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text_output_2 = gr.Image()
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text_button = gr.Button("Classify")
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gr.Markdown("""<h5 style="text-align: center;">An example of input</h5>""")
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gr.Examples([["sparganium erectum, calystegia sepium, persicaria amphibia", 1]], [species, top_k], [text_output_1, text_output_2], classification, True)
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with gr.Tab("Missing species finding"):
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gr.Markdown("""<h3 style="text-align: center;">Finding the missing species!</h3>""")
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text_button.click(classification, inputs=[species], outputs=[text_output_1, text_output_2])
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image_button.click(masking, inputs=[species_2], outputs=[image_output_1, image_output_2])
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demo.launch()
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