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Update app.py
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app.py
CHANGED
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@@ -10,7 +10,8 @@ from langchain.llms import HuggingFaceHub
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from htmltemplates import css, bot_template, user_template
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def get_text_chunks(text):
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-
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chunk_size=1000,
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chunk_overlap=200,
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@@ -18,6 +19,10 @@ def get_text_chunks(text):
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)
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chunks = text_splitter.split_text(text)
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return chunks
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def get_pdf_text(pdf_docs):
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text = ""
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@@ -28,9 +33,13 @@ def get_pdf_text(pdf_docs):
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return text
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def get_vectorstore(text_chunks):
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vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
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return vectorstore
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def get_conversation_chain(vectorstore):
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llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature": 0.5, "max_length": 512})
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from htmltemplates import css, bot_template, user_template
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def get_text_chunks(text):
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try:
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text_splitter = RecursiveCharacterTextSplitter(
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chunk_size=1000,
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chunk_overlap=200,
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)
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chunks = text_splitter.split_text(text)
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return chunks
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except Exception as e:
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st.error(f"Error in get_text_chunks:{e}")
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return []
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def get_pdf_text(pdf_docs):
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text = ""
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return text
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def get_vectorstore(text_chunks):
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try:
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embeddings = HuggingFaceInstructEmbeddings(model_name="hkunlp/instructor-xl")
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vectorstore = FAISS.from_texts(texts=text_chunks, embedding=embeddings)
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return vectorstore
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except Exception as e:
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st.error(f"Error in get_vectorstore:{e}")
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return None
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def get_conversation_chain(vectorstore):
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llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature": 0.5, "max_length": 512})
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