Update app.py

app.py

@@ -120,8 +120,12 @@ index = VectorStoreIndex(embed_model=embed_model, storage_context=storage_contex
 
 # Define and load documents with embeddings
 documents = [
-    {"text": "Your document text here", "embedding": [0.1, 0.2, 0.3]},
+    {
+        "text": "Your document text here", "embedding": [0.1, 0.2, 0.3],
+        'cricket': DirectoryLoader('/content/cricket', glob="*.pdf", loader_cls=PyPDFLoader).load(),
+        'fifa': DirectoryLoader('/content/fifa', glob="*.pdf", loader_cls=PyPDFLoader).load(),
     # Add more documents as needed
+    },
 ]
 
 # Load documents into ChromaDB using VectorStoreIndex
@@ -135,4 +139,6 @@ query_engine = RetrieverQueryEngine(auto_retriever)
 
 # Query documents using the RetrieverQuery Engine
 response = query_engine.query("Your query here")
-print(response)
+print(response)
+
+