Delete app.py

app.py

@@ -1,18 +0,0 @@
-import gradio as gr
-pip install torch
-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()