Spaces:
Sleeping
Sleeping
Add prompt for own openai api key
Browse files
app.py
CHANGED
@@ -11,13 +11,19 @@ with open("guide1.txt") as f:
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text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = "\n")
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texts = text_splitter.split_text(hitchhikersguide)
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docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
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def make_inference(query):
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docs = docsearch.get_relevant_documents(query)
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return(chain.run(input_documents=docs, question=query))
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@@ -28,9 +34,10 @@ if __name__ == "__main__":
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gr.Interface(
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make_inference,
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[
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gr.inputs.Textbox(lines=2, label="Query"),
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],
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gr.outputs.Textbox(label="Response"),
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title="🗣️TalkToMyDoc📄",
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description="🗣️TalkToMyDoc📄 is a tool that allows you to ask questions about a document. In this case - Hitch Hitchhiker's Guide to the Galaxy.",
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).launch()
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text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = "\n")
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texts = text_splitter.split_text(hitchhikersguide)
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chain = None
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embeddings = None
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docsearch = None
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def make_inference(openai_api_key, query):
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global chain, embeddings, docsearch
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if chain is None:
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chain = load_qa_chain(OpenAI(temperature=0, openai_api_key=openai_api_key.strip()), chain_type="stuff")
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embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
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docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
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docs = docsearch.get_relevant_documents(query)
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return(chain.run(input_documents=docs, question=query))
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gr.Interface(
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make_inference,
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[
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gr.inputs.Textbox(lines=1, label="OpenAI API Key"),
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gr.inputs.Textbox(lines=2, label="Query"),
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],
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gr.outputs.Textbox(label="Response"),
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title="🗣️TalkToMyDoc📄",
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description="🗣️TalkToMyDoc📄 is a tool that allows you to ask questions about a document. In this case - Hitch Hitchhiker's Guide to the Galaxy.",
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).launch()
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