Add app file

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pipeline (token classification)
+token_classifier = pipeline("token-classification", model="WesScivetti/SNACS_English", aggregation_strategy="simple")
+
+def classify_tokens(text):
+    results = token_classifier(text)
+    output = ""
+    for entity in results:
+        output += f"{entity['word']} ({entity['entity_group']}, score={entity['score']:.2f})\n"
+    return output.strip()
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=classify_tokens,
+    inputs=gr.Textbox(lines=4, placeholder="Enter a sentence..."),
+    outputs="text",
+    title="Token Classification with Transformers",
+    description="Named Entity Recognition (NER) using Hugging Face Transformers"
+)
+
+iface.launch()