Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("Auparima/thaifood-embed")
+
+def embed_text(text):
+    emb = model.encode(text)
+    return str(emb[:10])
+
+demo = gr.Interface(
+    fn=embed_text,
+    inputs="text",
+    outputs="text",
+    title="ThaiFood Embedding Model"
+)
+
+demo.launch()