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app.py
CHANGED
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@@ -11,14 +11,15 @@ from langchain.chains.question_answering import load_qa_chain
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st.set_page_config('preguntaDOC')
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st.header("Pregunta a tu PDF")
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OPENAI_API_KEY = st.text_input('OpenAI API Key', type='password')
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@st.cache_resource
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def create_embeddings(
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pdf_reader = PdfReader(pdf)
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text = ""
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for
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size=800,
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@@ -32,9 +33,9 @@ def create_embeddings(pdf):
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return knowledge_base
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if
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knowledge_base = create_embeddings(
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user_question = st.text_input("Haz una pregunta sobre
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if user_question:
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os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY
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@@ -43,4 +44,4 @@ if pdf_obj:
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chain = load_qa_chain(llm, chain_type="stuff")
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respuesta = chain.run(input_documents=docs, question=user_question)
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st.write(respuesta)
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st.set_page_config('preguntaDOC')
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st.header("Pregunta a tu PDF")
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OPENAI_API_KEY = st.text_input('OpenAI API Key', type='password')
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pdf_files = st.file_uploader("Carga tus documentos", type="pdf", accept_multiple_files=True, on_change=st.cache_resource.clear)
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@st.cache_resource
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def create_embeddings(pdfs):
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text = ""
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for pdf in pdfs:
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pdf_reader = PdfReader(pdf)
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for page in pdf_reader.pages:
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text += page.extract_text()
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size=800,
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return knowledge_base
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if pdf_files:
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knowledge_base = create_embeddings(pdf_files)
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user_question = st.text_input("Haz una pregunta sobre tus PDFs:")
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if user_question:
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os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY
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chain = load_qa_chain(llm, chain_type="stuff")
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respuesta = chain.run(input_documents=docs, question=user_question)
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st.write(respuesta)
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