Create app.py

app.py

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+import gradio as gr
+from setfit import SetFitModel
+
+# Download from Hub and run inference
+model = SetFitModel.from_pretrained("peter2000/vulnerable-groups-setfit")
+
+
+group_dict = {
+    1: 'Women and girls',
+ 2: 'Children and youth',
+ 3: 'Landlocked countries',
+ 4: 'Outdoor workers',
+ 5: 'Riverine and flood-prone areas',
+ 6: 'Small-scale farmers',
+ 7: 'Men and boys',
+ 8: 'Small island developing states (SIDS)',
+ 9: 'Fisherfolk and fishing communities',
+ 10: 'Children with disabilities',
+ 11: 'Low-income households',
+ 12: 'Rural communities',
+ 13: 'Pregnant women and new mothers',
+ 14: 'Young adults',
+ 15: 'Urban slums',
+ 16: 'Gender non-conforming individuals',
+ 17: 'Remote communities',
+ 18: 'Older adults and the elderly',
+ 19: 'Elderly population',
+ 20: 'Mountain communities',
+ 21: 'People with disabilities',
+ 22: 'Indigenous peoples',
+ 23: 'Informal settlements and slums',
+ 24: 'Coastal communities',
+ 25: 'Informal sector workers',
+ 26: 'Drought-prone regions',
+ 27: 'People with pre-existing health conditions',
+ 28: 'Small-scale farmers and subsistence agriculture',
+ 29: 'Migrants and displaced populations'}
+
+def predict(text):
+    preds = model(text)[0].item()
+    return preds
+    return group_dict[preds]
+
+gradio_ui = gr.Interface(
+    fn=predict,
+    title="Predict reference to vulnerable groups",
+    description="This Space showcases.",
+    inputs=[
+        gr.inputs.Textbox(lines=5, label="Paste some text here"),
+    ],
+    outputs=[
+        gr.outputs.Textbox(label="Vulnerable group"),
+   
+    ],
+    examples=[
+        ["To promote gender equality and empower men and boys as agents of change in climate adaptation efforts, we aim to engage 300,000 men and boys in gender-responsive climate change adaptation initiatives by 2030, focusing on capacity building, leadership development, and community engagement."], 
+        ["To preserve the traditional knowledge and resources of indigenous peoples in the face of climate change, we commit to protecting and restoring 2 million hectares of indigenous peoples' traditional lands by 2030, focusing on sustainable land management practices, ecosystem restoration, and the conservation of biodiversity"]
+    ],
+)
+
+gradio_ui.launch(debug=True)