Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(
+    "token-classification",
+    model="DanielDDDS/hebrew-recipe-modification-ner",
+    aggregation_strategy="simple"
+)
+
+def predict(text):
+    if isinstance(text, list):
+        text = text[0]
+    preds = pipe(text)
+    return {"results": preds}
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(label="Hebrew comment", placeholder="אפשר להחליף חמאה בשמן קוקוס"),
+    outputs="json",
+    title="Hebrew Recipe Modification Extractor",
+    description="Extract recipe modifications from Hebrew YouTube comments",
+    allow_flagging="never"
+)
+
+demo.queue(max_size=10).launch()