removed chroma index which is generated from only 1 book

data/chromadb_1024_512/chroma-collections.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1d0e4364f9a67d91e3185cc597297b8651ca02bdfddb8467767c8a71cbb89d4e
-size 557

data/chromadb_1024_512/chroma-embeddings.parquet

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8b050c60c5fd263355aabc3cc35e6308930cb4b8a1929e7209b6777da0782d59
-size 7513430

data/chromadb_1024_512/index/id_to_uuid_44a39155-bdc7-450c-8532-01db0e4b66cc.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4eb4fe05362f4052e3af173b0915e9758bb7bc7f9f681850e765cbde35d8783f
-size 47652

data/chromadb_1024_512/index/index_44a39155-bdc7-450c-8532-01db0e4b66cc.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5a26db7cd65749049856321b4aef559a0ffbef7f4286131c1bcd5f5dc4cc3849
-size 4743996

data/chromadb_1024_512/index/index_metadata_44a39155-bdc7-450c-8532-01db0e4b66cc.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ae5e0c780f18efa625dc2d0ad2d60328b51d2842cac144446196e4032e7c2c43
-size 105

data/chromadb_1024_512/index/uuid_to_id_44a39155-bdc7-450c-8532-01db0e4b66cc.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:49aab2d749c5650688e4b1b566d8773889ca59d92ea2083d04fd5882a626ecc0
-size 55737

data/questions.txt

@@ -1,4 +1,4 @@
-What's PCI DSS?
-Can you summarize the changes made from PCI DSS version 3.2.1 to version 4.0?
-tell me more on new requirements for vulnerability assessments and penetration testing
-more on penetration testing
+What's AI?
+life in AI era
+machine learning
+generative model

test.py

@@ -88,7 +88,6 @@ custom_handler = MyCustomHandler()
 qa_chain.init(
     custom_handler, n_threds=n_threds, hf_pipeline_device_type=hf_pipeline_device_type
 )
-qa = qa_chain.get_chain()
 end = timer()
 print(f"Completed in {end - start:.3f}s")
 
@@ -128,7 +127,7 @@ while True:
     custom_handler.reset()
 
     start = timer()
-    result = qa({"question": query, "chat_history": chat_history})
+    result = qa_chain.call({"question": query, "chat_history": chat_history})
     end = timer()
     print(f"Completed in {end - start:.3f}s")
 
@@ -142,6 +141,7 @@ while True:
     if standalone_question is not None:
         print(f"Load relevant documents for standalone question: {standalone_question}")
         start = timer()
+        qa = qa_chain.get_chain()
         docs = qa.retriever.get_relevant_documents(standalone_question)
         end = timer()