Upload app.py

app.py

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+import gradio as gr
+import torch
+from transformers import AutoTokenizer, AutoModel
+
+def get_embeddings(text):
+    tokenizer = AutoTokenizer.from_pretrained("GroNLP/bert-base-dutch-cased")
+    model = AutoModel.from_pretrained("GroNLP/bert-base-dutch-cased", output_hidden_states=True)
+    sent = str(text)
+    encoded = tokenizer.encode_plus(sent, return_tensors="pt")
+    with torch.no_grad():
+        output = model(**encoded)
+
+    states = output.hidden_states
+    return states
+
+iface = gr.Interface(fn=get_embeddings,inputs="text",outputs="text")
+iface.launch()