kaushikbar
commited on
Commit
·
3861998
1
Parent(s):
3692b96
added multi-label as a radio button user input
Browse files
app.py
CHANGED
@@ -93,22 +93,22 @@ def prep_examples():
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example_labels16 = "Under the leadership of Nadella;;Despite the leadership of Nadella;;And Nadella had nothing to do with it;;Under the leadership of Pichai"
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examples = [
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[example_text1, example_labels1],
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[example_text2, example_labels2],
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[example_text3, example_labels3],
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[example_text4, example_labels4],
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[example_text5, example_labels5],
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[example_text6, example_labels6],
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[example_text7, example_labels7],
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[example_text8, example_labels8],
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[example_text9, example_labels9],
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[example_text10, example_labels10],
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[example_text11, example_labels11],
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[example_text12, example_labels12],
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[example_text13, example_labels13],
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[example_text14, example_labels14],
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[example_text15, example_labels15],
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[example_text16, example_labels16]]
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return examples
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@@ -154,12 +154,13 @@ def detect_lang(sequence, labels):
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return seq_lang
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def sequence_to_classify(sequence, labels):
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lang = 'en' #detect_lang(sequence, labels)
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classifier = classifiers[lang]
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label_clean = str(labels).split(";;")
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-
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predicted_labels = response['labels']
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predicted_scores = response['scores']
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@@ -169,6 +170,7 @@ def sequence_to_classify(sequence, labels):
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sequence,
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predicted_labels))
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return clean_output
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iface = gr.Interface(
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@@ -180,8 +182,10 @@ iface = gr.Interface(
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placeholder="Text here..."),
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gr.inputs.Textbox(lines=2,
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label="Please enter the candidate labels (separated by 2 consecutive semicolons)...",
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placeholder="Labels here separated by ;;")
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#interpretation="default",
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examples=prep_examples())
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example_labels16 = "Under the leadership of Nadella;;Despite the leadership of Nadella;;And Nadella had nothing to do with it;;Under the leadership of Pichai"
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examples = [
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[example_text1, example_labels1, False],
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[example_text2, example_labels2, False],
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[example_text3, example_labels3, False],
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[example_text4, example_labels4, True],
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[example_text5, example_labels5, True],
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[example_text6, example_labels6, False],
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[example_text7, example_labels7, False],
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[example_text8, example_labels8, False],
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[example_text9, example_labels9, True],
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[example_text10, example_labels10, False],
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[example_text11, example_labels11, False],
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[example_text12, example_labels12, False],
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[example_text13, example_labels13, False],
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[example_text14, example_labels14, False],
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[example_text15, example_labels15, False],
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[example_text16, example_labels16, False]]
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return examples
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return seq_lang
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+
def sequence_to_classify(sequence, labels, multi_label):
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lang = 'en' #detect_lang(sequence, labels)
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classifier = classifiers[lang]
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label_clean = str(labels).split(";;")
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print("**** multi_label: ", multi_label)
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response = classifier(sequence, label_clean, multi_label=multi_label)
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predicted_labels = response['labels']
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predicted_scores = response['scores']
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sequence,
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predicted_labels))
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print("++++clean_output: ", clean_output)
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return clean_output
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iface = gr.Interface(
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placeholder="Text here..."),
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gr.inputs.Textbox(lines=2,
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label="Please enter the candidate labels (separated by 2 consecutive semicolons)...",
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placeholder="Labels here separated by ;;"),
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gr.inputs.Textbox(choices=[False, True],
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label="Multi-label?"],
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outputs=gr.outputs.Label(num_top_classes=5),
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#interpretation="default",
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examples=prep_examples())
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