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115129b
1
Parent(s):
0a57d81
Update app.py
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app.py
CHANGED
@@ -24,7 +24,6 @@ pinecone.init(api_key=PINECONE_API_KEY, environment=PINECONE_ENV)
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from langchain.llms import GooglePalm
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from langchain.chains import RetrievalQAWithSourcesChain
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llm=GooglePalm(google_api_key=GOOGLE_API_KEY, temperature=1, max_output_tokens=2048)
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'''
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vectorStore = Pinecone.from_existing_index('tennis', instructor_embeddings)
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retriever = vectorStore.as_retriever(search_kwargs={"k": 3})
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qa_chain_instrucEmbed = RetrievalQAWithSourcesChain.from_chain_type(llm=llm,
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@@ -33,8 +32,6 @@ qa_chain_instrucEmbed = RetrievalQAWithSourcesChain.from_chain_type(llm=llm,
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return_source_documents=True,
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verbose=True
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)
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'''
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qa_chain_instrucEmbed = None
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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@@ -49,12 +46,6 @@ theme = gr.themes.Monochrome(
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],
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)
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YOUTUBE_VIDEO_EMBED_HTML='''
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<iframe width="560" height="315" src="https://www.youtube.com/embed/lsVNAh7X_i8"
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title="YouTube video player" frameborder="0" allow="accelerometer; autoplay;
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clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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'''
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def generate(question):
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ret = qa_chain_instrucEmbed(question)
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print(str(ret))
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from langchain.llms import GooglePalm
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from langchain.chains import RetrievalQAWithSourcesChain
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llm=GooglePalm(google_api_key=GOOGLE_API_KEY, temperature=1, max_output_tokens=2048)
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vectorStore = Pinecone.from_existing_index('tennis', instructor_embeddings)
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retriever = vectorStore.as_retriever(search_kwargs={"k": 3})
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qa_chain_instrucEmbed = RetrievalQAWithSourcesChain.from_chain_type(llm=llm,
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return_source_documents=True,
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verbose=True
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)
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theme = gr.themes.Monochrome(
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primary_hue="indigo",
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],
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)
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def generate(question):
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ret = qa_chain_instrucEmbed(question)
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print(str(ret))
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