Update app.py

app.py

@@ -1,4 +1,23 @@
 # Install required libraries
+pip uninstall faiss-cpu
+pip install faiss-cpu
+pip install faiss-cpu==1.7.3
+pip install annoy
+from annoy import AnnoyIndex  # Importing annoy for vector search
+
+# Function to create an Annoy index from the embeddings
+def create_annoy_index(embeddings, num_trees=10):
+    index = AnnoyIndex(embeddings.shape[1], 'angular')  # Using angular distance metric
+    for i, emb in enumerate(embeddings):
+        index.add_item(i, emb)
+    index.build(num_trees)
+    return index
+
+# Function to retrieve the most relevant text using Annoy
+def retrieve_relevant_text(query, annoy_index, texts, top_k=3):
+    query_embedding = embedder.encode([query], convert_to_tensor=True)
+    indices = annoy_index.get_nns_by_vector(query_embedding[0], top_k)
+    return [texts[i] for i in indices]
 
 
 import os