Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+from span_marker import SpanMarkerModel
+
+
+def function(messages):
+    # Download from the 🤗 Hub
+    model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-acronyms")
+    # Run inference
+    # text = st.text_area('enter some text:')
+    
+    if text:
+        out = model.predict(messages)
+    
+         return st.json(out)
+
+
+demo = gr.ChatInterface(fn=function, type="messages", examples=["hello", "hola", "merhaba"], title="Abbreviation-Detector")