Update app.py

app.py

@@ -85,14 +85,14 @@ for doc in documents:
 embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
 chunk_embeddings = embedding_model.encode(all_chunks)
 embedding_dim = chunk_embeddings.shape[1]
-index = faiss.IndexFlatL2(embedding_dim)
-index.add(np.array(chunk_embeddings))
+faiss_index = faiss.IndexFlatL2(embedding_dim)
+faiss_index.add(np.array(chunk_embeddings))
 
 generator = pipeline("text-generation", model="gpt2", max_length=256)
 
 def retrieve_context(query: str, k: int = 5) -> List[str]:
     query_embedding = embedding_model.encode([query])
-    distances, indices = index.search(np.array(query_embedding), k)
+    distances, indices = faiss_index.search(np.array(query_embedding), k)
     return [all_chunks[idx] for idx in indices[0] if idx < len(all_chunks)]
 
 def generate_answer(query: str) -> str:
@@ -238,7 +238,7 @@ async def chat_endpoint(payload: dict):
     return {"answer": answer}
 
 @app.get("/")
-async def index():
+async def index_endpoint():
     index_path = current_dir / "index.html"
     html_content = index_path.read_text()
     return HTMLResponse(content=html_content)