Update app.py

app.py

@@ -43,36 +43,6 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet")) as demo:
 
 demo.launch()
 
-rag.py:
-from sentence_transformers import SentenceTransformer
-import faiss
-import numpy as np
-
-# load model only once
-embedder = SentenceTransformer('all-MiniLM-L6-v2')
-
-class VectorStore:
-    def __init__(self):
-        self.texts = []
-        self.embeddings = []
-        self.index = None
-
-    def add_texts(self, texts):
-        """Add list of texts to the store."""
-        new_embeds = embedder.encode(texts)
-        self.texts.extend(texts)
-        self.embeddings.extend(new_embeds)
-        self.index = faiss.IndexFlatL2(new_embeds.shape[1])
-        self.index.add(np.array(self.embeddings))
-
-    def retrieve(self, query, top_k=3):
-        """Return top-k relevant texts for the query."""
-        if not self.index:
-            return []
-        query_embed = embedder.encode([query])
-        D, I = self.index.search(np.array(query_embed), k=top_k)
-        return [self.texts[i] for i in I[0]]
-
 scarper.py:
 import requests
 from bs4 import BeautifulSoup