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Ludovic Moncla
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5287b31
1
Parent(s):
4a51b31
Update app.py
Browse files
app.py
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import gradio as gr
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from transformers import
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# Load your fine-tuned CamemBERT NER model
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model_name = "GEODE/camembert-base-edda-span-classification"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForTokenClassification.from_pretrained(model_name)
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def extract_coordinates(text):
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# Run NER
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entities = ner_pipeline(text)
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@@ -21,11 +30,11 @@ def extract_coordinates(text):
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else:
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return "No coordinates found"
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def norm_coordinates(text):
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# Example input text
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input_text = "extract_coordinates: " + text
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with gr.Column():
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out_text = gr.Textbox(label="Extracted coordinates (fine-tuned CamemBERT NER)")
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run_btn.click(fn=extract_coordinates, inputs=inp, outputs=out_text)
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import gradio as gr
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from transformers import pipeline
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binary_classifier = pipeline("text-classification", model="GEODE/bert-base-multilingual-cased-binary-classifier-edda-coords")
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ner_pipeline = pipeline("token-classification", model="GEODE/camembert-base-edda-span-classification", aggregation_strategy="simple")
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generator = pipeline("text2text-generation", model="GEODE/mt5-small-coords-norm")
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def detect_coordinates(text):
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# Run binary classification
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result = binary_classifier(text)
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if result[0]['label'] == 'Positive':
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return "Coordinates found"
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else:
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return "No coordinates found"
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def extract_coordinates(text):
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if detect_coordinates(text) == "No coordinates found":
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return "No coordinates found"
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# Run NER
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entities = ner_pipeline(text)
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else:
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return "No coordinates found"
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# bert-base-multilingual-cased-binary-classifier-edda-coords
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def norm_coordinates(text):
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if detect_coordinates(text) == "No coordinates found":
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return "No coordinates found"
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# Example input text
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input_text = "extract_coordinates: " + text
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with gr.Column():
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out_text = gr.Textbox(label="Extracted coordinates (fine-tuned CamemBERT NER)")
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run_btn.click(fn=detect_coordinates, inputs=inp, outputs=out_text)
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out_text = gr.Textbox(label="Extracted coordinates (fine-tuned CamemBERT NER)")
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run_btn.click(fn=extract_coordinates, inputs=inp, outputs=out_text)
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