Spaces:
Running
Running
Commit
·
1d2c336
1
Parent(s):
85952ea
query
Browse files- .gitignore +1 -0
- app.py +8 -2
.gitignore
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@@ -0,0 +1 @@
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.streamlit
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app.py
CHANGED
@@ -25,7 +25,7 @@ OPENAI_CHAT_MODELS = [
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]
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-
def
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model_name = "BAAI/bge-small-en-v1.5"
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model_kwargs = {"device": "cpu"}
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encode_kwargs = {"normalize_embeddings": True}
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@@ -35,6 +35,11 @@ def load_pinecone_vectorstore():
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encode_kwargs=encode_kwargs,
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query_instruction="Represent this question for searching relevant passages: ",
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)
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pc = PineconeClient(api_key=st.secrets["pinecone_api_key"])
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index = pc.Index(st.secrets["pinecone_index_name"])
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vectorstore = Pinecone(
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@@ -48,5 +53,6 @@ def load_pinecone_vectorstore():
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vectorstore = load_pinecone_vectorstore()
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-
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st.write(docs)
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]
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def load_bge_embeddings():
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model_name = "BAAI/bge-small-en-v1.5"
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model_kwargs = {"device": "cpu"}
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encode_kwargs = {"normalize_embeddings": True}
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encode_kwargs=encode_kwargs,
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query_instruction="Represent this question for searching relevant passages: ",
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)
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return emb_fn
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def load_pinecone_vectorstore():
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emb_fn = load_bge_embeddings()
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pc = PineconeClient(api_key=st.secrets["pinecone_api_key"])
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index = pc.Index(st.secrets["pinecone_index_name"])
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vectorstore = Pinecone(
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vectorstore = load_pinecone_vectorstore()
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query = st.text_area("Enter query")
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docs = vectorstore.similarity_search_with_score(query)
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st.write(docs)
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