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import gradio as gr |
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from transformers import pipeline |
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AVAILABLE_MODELS = [ |
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"mjwong/multilingual-e5-large-instruct-xnli-anli", |
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"mjwong/multilingual-e5-base-xnli-anli", |
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"mjwong/multilingual-e5-large-xnli-anli", |
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"mjwong/mcontriever-msmarco-xnli", |
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"mjwong/mcontriever-xnli" |
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] |
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def classify_text(model_name, text, labels): |
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classifier = pipeline("zero-shot-classification", model=model_name) |
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labels_list = [label.strip() for label in labels.split(",")] |
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result = classifier(text, candidate_labels=labels_list) |
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return {label: score for label, score in zip(result["labels"], result["scores"])} |
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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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""" |
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iface = gr.Interface( |
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fn=classify_text, |
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inputs=[ |
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gr.Dropdown(AVAILABLE_MODELS, label="Choose Model"), |
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gr.Textbox(label="Enter Text", placeholder="Type or paste text here..."), |
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gr.Textbox(label="Enter Labels (comma-separated)", placeholder="e.g., sports, politics, technology") |
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], |
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outputs=gr.Label(label="Classification Scores"), |
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title="Zero-Shot Text Classifier", |
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description="Select a model, enter text, and a set of labels to classify it using a zero-shot classification model.", |
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examples=examples, |
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css=css |
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) |
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if __name__ == "__main__": |
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iface.launch() |
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