Delete app.py

app.py

@@ -1,42 +0,0 @@
-import pandas as pd
-import faiss
-import pickle
-from sentence_transformers import SentenceTransformer
-import numpy as np
-import gzip
-
-# ===== CONFIG =====
-CSV_PATH = "data.csv"
-INDEX_PATH = "faiss.index"
-META_PATH = "metadata.pkl.gz"
-
-# ===== LOAD DATA =====
-df = pd.read_csv(CSV_PATH)
-texts = df["text"].astype(str).tolist()
-statuses = df["status"].astype(str).tolist()
-
-model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
-
-# ===== EMBEDDING BATCH =====
-embeddings = []
-batch_size = 64
-
-for i in range(0, len(texts), batch_size):
-    batch_texts = texts[i:i+batch_size]
-    batch_emb = model.encode(batch_texts, convert_to_numpy=True)
-    embeddings.append(batch_emb)
-
-embeddings = np.vstack(embeddings)
-
-# ===== FAISS =====
-dim = embeddings.shape[1]
-index = faiss.IndexFlatL2(dim)
-index.add(embeddings.astype("float32"))
-
-# ===== SAVE =====
-faiss.write_index(index, INDEX_PATH)
-
-with gzip.open(META_PATH, "wb") as f:
-    pickle.dump({"texts": texts, "statuses": statuses}, f)
-
-print(f"✅ Index built with {len(texts)} records")