Update app.py

app.py

@@ -1,24 +1,24 @@
-import json
-from llama_index.core.tools import QueryEngineTool, ToolMetadata
-from llama_index.core.agent import ReActAgent
-from llama_index.llms.ollama import Ollama
-from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, Settings
-from llama_index.embeddings.huggingface import HuggingFaceEmbedding
-from llama_index.llms.ollama import Ollama
-from llama_index.core import Settings
-from llama_index.llms.groq import Groq
-import os
-documents = SimpleDirectoryReader("data").load_data()
-
-# bge-base embedding model
-Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5")
-
-# ollama
-Settings.llm =Groq(model="mixtral-8x7b-32768", api_key="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")
-
-index = VectorStoreIndex.from_documents(
-    documents,
-)
-query_engine = index.as_query_engine()
-response = query_engine.query("What did the author do growing up?")
+import json
+from llama_index.core.tools import QueryEngineTool, ToolMetadata
+from llama_index.core.agent import ReActAgent
+from llama_index.llms.ollama import Ollama
+from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, Settings
+from llama_index.embeddings.huggingface import HuggingFaceEmbedding
+from llama_index.llms.ollama import Ollama
+from llama_index.core import Settings
+from llama_index.llms.groq import Groq
+import os
+documents = SimpleDirectoryReader("data").load_data()
+
+# bge-base embedding model
+Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5")
+
+# ollama
+Settings.llm =Groq(model="mixtral-8x7b-32768", api_key="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")
+
+index = VectorStoreIndex.from_documents(
+    documents,
+)
+query_engine = index.as_query_engine()
+response = query_engine.query("What did the author do growing up?")
 print(response)