Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer, util
+import torch
+
+model = SentenceTransformer('all-MiniLM-L6-v2')
+
+# Dummy FAQ user
+faq = {
+    "uid123": [
+        {"q": "Apakah bisa COD?", "a": "Bisa, seluruh Indonesia"},
+        {"q": "Apakah ada garansi?", "a": "Garansi 7 hari"},
+    ]
+}
+
+def chatbot(uid, question):
+    user_faq = faq.get(uid, [])
+    if not user_faq:
+        return "FAQ belum tersedia."
+
+    questions = [item["q"] for item in user_faq]
+    answers = [item["a"] for item in user_faq]
+
+    embeddings = model.encode(questions, convert_to_tensor=True)
+    query_embedding = model.encode(question, convert_to_tensor=True)
+
+    similarity = util.pytorch_cos_sim(query_embedding, embeddings)
+    best_idx = torch.argmax(similarity).item()
+
+    return answers[best_idx]
+
+# Gradio Interface (bisa dipanggil via API juga)
+iface = gr.Interface(
+    fn=chatbot,
+    inputs=["text", "text"],
+    outputs="text",
+    examples=[["uid123", "Apakah bisa bayar di tempat?"]],
+    allow_flagging="never",
+    title="Biruu Chatbot API"
+)
+
+iface.launch()