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Update app.py
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app.py
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@@ -3,7 +3,7 @@ import requests
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from bs4 import BeautifulSoup
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from html_to_markdown import convert_to_markdown
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import re
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from llama_index.core.node_parser import
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from llama_index.core.schema import Document, MetadataMode
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import textstat # For readability metrics
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@@ -81,19 +81,41 @@ class WebpageContentProcessor:
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return f"An unexpected error occurred: {e}"
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def parse_markdown_into_chunks(self, markdown_content: str) -> list:
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if not markdown_content or "Error" in markdown_content:
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return []
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doc = Document(text=markdown_content)
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parser = MarkdownNodeParser(include_metadata=True)
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nodes = parser.get_nodes_from_documents([doc])
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structured_chunks = []
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for i, node in enumerate(nodes):
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content = node.get_content(metadata_mode=MetadataMode.NONE).strip()
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if not content:
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continue
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return structured_chunks
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class ChunkManager:
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@@ -306,4 +328,4 @@ with tab2:
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st.rerun()
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st.subheader("Final Document")
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st.text_area("Compiled Markdown", manager.get_final_markdown(), height=400, disabled=False, key="final_markdown")
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from bs4 import BeautifulSoup
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from html_to_markdown import convert_to_markdown
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import re
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from llama_index.core.node_parser import SentenceSplitter
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from llama_index.core.schema import Document, MetadataMode
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import textstat # For readability metrics
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return f"An unexpected error occurred: {e}"
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def parse_markdown_into_chunks(self, markdown_content: str) -> list:
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"""
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Parses markdown content into chunks using a sentence splitter for more
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reliable chunking than header-based splitting.
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"""
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if not markdown_content or "Error" in markdown_content:
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return []
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# Use SentenceSplitter for more reliable chunking based on size,
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# rather than relying on Markdown headers which may not exist.
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parser = SentenceSplitter(
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chunk_size=2000, # Characters per chunk
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chunk_overlap=200 # Characters to overlap between chunks
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)
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doc = Document(text=markdown_content)
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nodes = parser.get_nodes_from_documents([doc])
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structured_chunks = []
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for i, node in enumerate(nodes):
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content = node.get_content(metadata_mode=MetadataMode.NONE).strip()
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if not content:
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continue
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# Generate a title from the first non-empty line of the chunk
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first_line = next((line for line in content.split('\n') if line.strip()), "")
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title = (first_line[:75] + '...') if len(first_line) > 75 else first_line
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if not title:
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title = f"Chunk {i+1}"
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structured_chunks.append({
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"id": i,
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"title": title,
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"content": content
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})
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return structured_chunks
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class ChunkManager:
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st.rerun()
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st.subheader("Final Document")
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st.text_area("Compiled Markdown", manager.get_final_markdown(), height=400, disabled=False, key="final_markdown")
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