Update app.py

app.py

@@ -7,6 +7,8 @@ from llama_index.core import Settings
 from llama_index.embeddings.huggingface import HuggingFaceEmbedding
 from llama_index.llms.gemini import Gemini
 from llama_index.core.postprocessor import SimilarityPostprocessor
+from llama_index.core.storage.docstore import SimpleDocumentStore
+from llama_index.core import StorageContext, load_index_from_storage
 
 HF_TOKEN=os.environ['token_r']
 API_KEY=os.environ["GOOGLE_API_KEY"]
@@ -50,7 +52,11 @@ embed_model = HuggingFaceEmbedding(model_name=embed_model_name)
 Settings.llm = llm
 Settings.embed_model = embed_model
 
-#to-do: get data
+# rebuild storage context
+storage_context = StorageContext.from_defaults(persist_dir="VectorStore")
+# load index
+index_persisted = load_index_from_storage(storage_context, index_id="vector_index")
+
 
 async def run_function_on_text(top_k,study_obj,study_type,phase,purpose,allocation,intervention_model,Masking,conditions,interventions,location_countries,removed_location_countries):