Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Available models for zero-shot classification
+AVAILABLE_MODELS = [
+    "mjwong/multilingual-e5-large-instruct-xnli-anli",
+    "mjwong/multilingual-e5-base-xnli-anli",
+    "mjwong/multilingual-e5-large-xnli-anli",
+    "mjwong/mcontriever-msmarco-xnli",
+    "mjwong/mcontriever-xnli"
+]
+
+def classify_text(model_name, text, labels):
+    classifier = pipeline("zero-shot-classification", model=model_name)
+    labels_list = [label.strip() for label in labels.split(",")]
+    result = classifier(text, candidate_labels=labels_list)
+    return {label: score for label, score in zip(result["labels"], result["scores"])}
+
+# Example Input
+examples = [["One day I will see the world", "travel, live, die, future"]]
+
+# Define the Gradio interface
+css = """
+footer {display:none !important}
+.output-markdown{display:none !important}
+.gr-button-primary {
+    z-index: 14;
+    height: 43px;
+    width: 130px;
+    left: 0px;
+    top: 0px;
+    padding: 0px;
+    cursor: pointer !important; 
+    background: none rgb(17, 20, 45) !important;
+    border: none !important;
+    text-align: center !important;
+    font-family: Poppins !important;
+    font-size: 14px !important;
+    font-weight: 500 !important;
+    color: rgb(255, 255, 255) !important;
+    line-height: 1 !important;
+    border-radius: 12px !important;
+    transition: box-shadow 200ms ease 0s, background 200ms ease 0s !important;
+    box-shadow: none !important;
+}
+.gr-button-primary:hover{
+    z-index: 14;
+    height: 43px;
+    width: 130px;
+    left: 0px;
+    top: 0px;
+    padding: 0px;
+    cursor: pointer !important;
+    background: none rgb(66, 133, 244) !important;
+    border: none !important;
+    text-align: center !important;
+    font-family: Poppins !important;
+    font-size: 14px !important;
+    font-weight: 500 !important;
+    color: rgb(255, 255, 255) !important;
+    line-height: 1 !important;
+    border-radius: 12px !important;
+    transition: box-shadow 200ms ease 0s, background 200ms ease 0s !important;
+    box-shadow: rgb(0 0 0 / 23%) 0px 1px 7px 0px !important;
+}
+"""
+
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=[
+        gr.Dropdown(AVAILABLE_MODELS, label="Choose Model"),
+        gr.Textbox(label="Enter Text", placeholder="Type or paste text here..."),
+        gr.Textbox(label="Enter Labels (comma-separated)", placeholder="e.g., sports, politics, technology")
+    ],
+    outputs=gr.Label(label="Classification Scores"),
+    title="Zero-Shot Text Classifier",
+    description="Select a model, enter text, and a set of labels to classify it using a zero-shot classification model.",
+    examples=examples,
+    css=css
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()