remove unused file

github_retriever.py

@@ -1,63 +0,0 @@
-from llama_hub.github_repo import GithubRepositoryReader, GithubClient
-from llama_index import download_loader, GPTVectorStoreIndex
-from llama_index import LLMPredictor, VectorStoreIndex, ServiceContext
-from langchain.llms import AzureOpenAI
-from langchain.embeddings.openai import OpenAIEmbeddings
-from llama_index import LangchainEmbedding, ServiceContext
-from llama_index import StorageContext, load_index_from_storage
-from dotenv import load_dotenv
-import os
-import pickle
-
-
-def main() -> None:
-    # define embedding
-    embedding = LangchainEmbedding(OpenAIEmbeddings(chunk_size=1))
-    # define LLM
-    llm_predictor = LLMPredictor(
-        llm=AzureOpenAI(
-            engine="text-davinci-003",
-            model_name="text-davinci-003",
-        )
-    )
-
-    # configure service context
-    service_context = ServiceContext.from_defaults(
-        llm_predictor=llm_predictor, embed_model=embedding
-    )
-    download_loader("GithubRepositoryReader")
-    docs = None
-    if os.path.exists("docs/docs.pkl"):
-        with open("docs/docs.pkl", "rb") as f:
-            docs = pickle.load(f)
-
-    if docs is None:
-        github_client = GithubClient(os.getenv("GITHUB_TOKEN"))
-        loader = GithubRepositoryReader(
-            github_client,
-            owner="ctripcorp",
-            repo="x-pipe",
-            filter_directories=(
-                [".", "doc"],
-                GithubRepositoryReader.FilterType.INCLUDE,
-            ),
-            filter_file_extensions=([".md"], GithubRepositoryReader.FilterType.INCLUDE),
-            verbose=True,
-            concurrent_requests=10,
-        )
-
-        docs = loader.load_data(branch="master")
-
-        with open("docs/docs.pkl", "wb") as f:
-            pickle.dump(docs, f)
-
-    index = GPTVectorStoreIndex.from_documents(docs, service_context=service_context)
-
-    query_engine = index.as_query_engine(service_context=service_context)
-    response = query_engine.query("如何使用X-Pipe?")
-    print(response)
-
-
-if __name__ == "__main__":
-    load_dotenv()
-    main()