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DeepSoft-Tech
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1
Parent(s):
f935900
Update app.py
Browse files
app.py
CHANGED
@@ -18,35 +18,36 @@ if st.button("Connect to Search Engine Database", type="primary"):
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key = st.text_input("Enter a key:", "")
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namespace = st.text_input("Enter a table name:", "")
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# initialize connection to pinecone (get API key at app.pinecone.io)
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query = st.text_input("Enter a search query:", "")
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key = st.text_input("Enter a key:", "")
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namespace = st.text_input("Enter a table name:", "")
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# initialize connection to pinecone (get API key at app.pinecone.io)
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if key:
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api_key = os.environ.get('PINECONE_API_KEY') or key
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# configure client
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pc = Pinecone(api_key=api_key)
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from pinecone import ServerlessSpec
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cloud = os.environ.get('PINECONE_CLOUD') or 'aws'
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region = os.environ.get('PINECONE_REGION') or 'us-east-1'
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spec = ServerlessSpec(cloud=cloud, region=region)
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# connect to index
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index = pc.Index(index_name)
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st.write('Successfully connected to your Search Engine DB!')
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st.write('Start searching...')
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query = st.text_input("Enter a search query:", "")
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# If the user has entered a search query, search the Pinecone index with the query
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if query:
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# Upsert the embeddings for the query into the Pinecone index
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query_embeddings = model.encode(query).tolist()
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# now query
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xc = index.query(vector=query_embeddings, top_k=10, namespace=namespace, include_metadata=True)
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# Display the search results
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st.write(f"Search results for '{query}':")
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for result in xc['matches']:
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st.write(f"{round(result['score'], 2)}: {result['metadata']['meta_text']}")
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