Upload 3 files
Browse files- README.md +12 -0
- app.py +89 -0
- requirements.txt +5 -0
README.md
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---
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title: Zero Shot Text Classification
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emoji: 👀
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colorFrom: purple
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colorTo: gray
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sdk: gradio
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sdk_version: 3.4.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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from transformers import pipeline
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classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
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def zeroShotClassification(text_input, candidate_labels):
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labels = [label.strip(' ') for label in candidate_labels.split(',')]
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output = {}
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prediction = classifier(text_input, labels)
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for i in range(len(prediction['labels'])):
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output[prediction['labels'][i]] = prediction['scores'][i]
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return output
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examples = [["One day I will see the world", "travel, live, die, future"]]
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css = """
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footer {display:none !important}
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.output-markdown{display:none !important}
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.gr-button-primary {
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z-index: 14;
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height: 43px;
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width: 130px;
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left: 0px;
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top: 0px;
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padding: 0px;
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cursor: pointer !important;
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background: none rgb(17, 20, 45) !important;
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border: none !important;
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text-align: center !important;
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font-family: Poppins !important;
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font-size: 14px !important;
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font-weight: 500 !important;
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color: rgb(255, 255, 255) !important;
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line-height: 1 !important;
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border-radius: 12px !important;
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transition: box-shadow 200ms ease 0s, background 200ms ease 0s !important;
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box-shadow: none !important;
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}
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.gr-button-primary:hover{
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z-index: 14;
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height: 43px;
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width: 130px;
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left: 0px;
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top: 0px;
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padding: 0px;
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cursor: pointer !important;
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background: none rgb(66, 133, 244) !important;
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border: none !important;
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text-align: center !important;
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font-family: Poppins !important;
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font-size: 14px !important;
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font-weight: 500 !important;
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color: rgb(255, 255, 255) !important;
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line-height: 1 !important;
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border-radius: 12px !important;
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transition: box-shadow 200ms ease 0s, background 200ms ease 0s !important;
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box-shadow: rgb(0 0 0 / 23%) 0px 1px 7px 0px !important;
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}
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.hover\:bg-orange-50:hover {
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--tw-bg-opacity: 1 !important;
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background-color: rgb(229,225,255) !important;
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}
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.to-orange-200 {
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--tw-gradient-to: rgb(37 56 133 / 37%) !important;
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}
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.from-orange-400 {
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--tw-gradient-from: rgb(17, 20, 45) !important;
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--tw-gradient-to: rgb(255 150 51 / 0);
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--tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to) !important;
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}
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.group-hover\:from-orange-500{
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--tw-gradient-from:rgb(17, 20, 45) !important;
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--tw-gradient-to: rgb(37 56 133 / 37%);
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--tw-gradient-stops: var(--tw-gradient-from), var(--tw-gradient-to) !important;
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}
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.group:hover .group-hover\:text-orange-500{
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--tw-text-opacity: 1 !important;
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color:rgb(37 56 133 / var(--tw-text-opacity)) !important;
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}
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"""
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demo = gr.Interface(fn=zeroShotClassification, inputs=[gr.Textbox(label="Input"), gr.Textbox(label="Candidate Labels")], outputs=gr.Label(label="Classification"), title="Zero Shot Text Classification | Data Science Dojo", examples=examples, css=css)
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demo.launch()
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requirements.txt
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| 1 |
+
gradio
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| 2 |
+
torch
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| 3 |
+
timm
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| 4 |
+
sentencepiece
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| 5 |
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transformers
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