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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+thirukkural_english_index.faiss filter=lfs diff=lfs merge=lfs -text
+thirukkural_tamil_index.faiss filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,33 @@
+from fastapi import FastAPI, Query
+from pydantic import BaseModel
+import faiss
+import pickle
+import numpy as np
+from sentence_transformers import SentenceTransformer
+
+app = FastAPI()
+
+# Load Sentence Transformer Model
+model = SentenceTransformer("sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
+
+# Load Data
+with open("thirukkural_data.pkl", "rb") as f:
+    kural_data = pickle.load(f)
+
+# Load FAISS indexes
+english_index = faiss.read_index("thirukkural_english_index.faiss")
+tamil_index = faiss.read_index("thirukkural_tamil_index.faiss")
+
+class QueryRequest(BaseModel):
+    query: str
+    lang: str  # "ta" or "en"
+    top_k: int = 3
+
+@app.post("/search/")
+def search_kural(req: QueryRequest):
+    emb = model.encode([req.query])
+    index = tamil_index if req.lang == "ta" else english_index
+    D, I = index.search(np.array(emb).astype("float32"), req.top_k)
+
+    results = [kural_data[i] for i in I[0]]
+    return {"results": results}

requirements.txt

@@ -0,0 +1,5 @@
+fastapi
+uvicorn
+sentence-transformers
+faiss-cpu
+numpy

thirukkural_data.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:020c5183553e412dc4fd9d078ab7658845d228757a1cc4aeabbff27f03080e96
+size 6408821

thirukkural_english_index.faiss

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd8553f27be00ba4fd89983f7b3e470299bfe7e314d25ba245a9b7844a60bf23
+size 4085805

thirukkural_tamil_index.faiss

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a4d766ab42db8b788a1c54b661cdab75644e912ad1c63357e200729894ff73c
+size 4085805