Update app.py
Browse filesHe actualizado el archivo app.py para incluir la funcionalidad de llama-index-readers-docling como un método de conversión adicional.
app.py
CHANGED
@@ -1,71 +1,60 @@
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import gradio as gr
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from docling.document_converter import DocumentConverter
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import json
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import tempfile
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import os
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def
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try:
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# Initialize the converter and load the document
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converter = DocumentConverter()
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result = converter.convert(file.name)
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# Create temporary file for download
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temp_dir = tempfile.gettempdir()
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if output_format == "Markdown":
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converted_text = result.document.export_to_markdown()
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file_extension = ".md"
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else:
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converted_text = result.document.export_to_json()
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file_extension = ".json"
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# Create output file
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output_filename = os.path.splitext(os.path.basename(file.name))[0] + file_extension
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output_path = os.path.join(temp_dir, output_filename)
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# Write content to file
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(converted_text)
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metadata = {
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"Filename": file.name,
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"File Size": f"{os.path.getsize(file.name) / 1024:.2f} KB",
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"Output Format": output_format,
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"Conversion Status": "Success"
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}
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return (
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converted_text,
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metadata,
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output_path,
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gr.update(visible=True),
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"✅ Document converted successfully!"
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)
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except Exception as e:
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error_metadata = {
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return (
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"",
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error_metadata,
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None,
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gr.update(visible=False),
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"❌ Error during conversion"
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)
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# Custom CSS
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custom_css = """
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:root {
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--primary-color: #2563eb;
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@@ -132,7 +121,6 @@ body {
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}
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"""
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# Create Gradio interface
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with gr.Blocks(css=custom_css) as app:
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gr.HTML(
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"""
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</div>
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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with gr.Group():
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value="Markdown",
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elem_classes="gr-input"
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)
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convert_button = gr.Button(
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"🔄 Convert Document",
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variant="primary",
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elem_classes=["gr-button"]
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)
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status_message = gr.Textbox(
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label="Status",
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interactive=False,
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visible=False,
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elem_classes="gr-padded"
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)
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with gr.Column(scale=2):
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with gr.Group():
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gr.Markdown("### Conversion Output")
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visible=False,
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elem_classes="gr-padded"
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)
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# Event handlers
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convert_button.click(
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fn=
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inputs=[file_input, format_input],
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outputs=[
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output_text,
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output_metadata,
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download_button,
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download_button,
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status_message
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]
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)
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app.launch(debug=True, share=True)
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import gradio as gr
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from docling.document_converter import DocumentConverter
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from llama_index.readers.docling import DoclingReader
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import json
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import tempfile
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import os
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def convert_document_docling(file, output_format):
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try:
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reader = DoclingReader(export_type=DoclingReader.ExportType.JSON if output_format == "JSON" else DoclingReader.ExportType.MARKDOWN)
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docs = reader.load_data(file_path=file.name)
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converted_text = docs[0].text
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temp_dir = tempfile.gettempdir()
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output_filename = os.path.splitext(os.path.basename(file.name))[0] + (".json" if output_format == "JSON" else ".md")
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output_path = os.path.join(temp_dir, output_filename)
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(converted_text)
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metadata = {
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"Filename": file.name,
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"File Size": f"{os.path.getsize(file.name) / 1024:.2f} KB",
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"Output Format": output_format,
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"Conversion Status": "Success",
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"Method": "llama-index-readers-docling"
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}
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return converted_text, metadata, output_path, gr.update(visible=True), "✅ Document converted successfully!"
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except Exception as e:
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error_metadata = {"Error": str(e), "Status": "Failed"}
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return "", error_metadata, None, gr.update(visible=False), "❌ Error during conversion"
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def convert_document_original(file, output_format):
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try:
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converter = DocumentConverter()
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result = converter.convert(file.name)
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temp_dir = tempfile.gettempdir()
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if output_format == "Markdown":
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converted_text = result.document.export_to_markdown()
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file_extension = ".md"
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else:
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converted_text = result.document.export_to_json()
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file_extension = ".json"
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output_filename = os.path.splitext(os.path.basename(file.name))[0] + file_extension
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output_path = os.path.join(temp_dir, output_filename)
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with open(output_path, 'w', encoding='utf-8') as f:
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f.write(converted_text)
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metadata = {
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"Filename": file.name,
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"File Size": f"{os.path.getsize(file.name) / 1024:.2f} KB",
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"Output Format": output_format,
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"Conversion Status": "Success",
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"Method": "docling"
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}
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return converted_text, metadata, output_path, gr.update(visible=True), "✅ Document converted successfully!"
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except Exception as e:
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error_metadata = {"Error": str(e), "Status": "Failed"}
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return "", error_metadata, None, gr.update(visible=False), "❌ Error during conversion"
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custom_css = """
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:root {
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--primary-color: #2563eb;
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}
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"""
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with gr.Blocks(css=custom_css) as app:
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gr.HTML(
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"""
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</div>
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"""
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)
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with gr.Row():
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with gr.Column(scale=1):
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with gr.Group():
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value="Markdown",
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elem_classes="gr-input"
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)
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method_input = gr.Radio(
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choices=["docling", "llama-index-readers-docling"],
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label="Conversion Method",
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value="docling",
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elem_classes="gr-input"
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)
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convert_button = gr.Button(
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"🔄 Convert Document",
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variant="primary",
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elem_classes=["gr-button"]
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)
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status_message = gr.Textbox(
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label="Status",
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interactive=False,
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visible=False,
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elem_classes="gr-padded"
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)
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with gr.Column(scale=2):
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with gr.Group():
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gr.Markdown("### Conversion Output")
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visible=False,
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elem_classes="gr-padded"
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)
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convert_button.click(
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fn=lambda file, format, method: convert_document_docling(file, format) if method == "llama-index-readers-docling" else convert_document_original(file, format),
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inputs=[file_input, format_input, method_input],
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outputs=[output_text, output_metadata, download_button, download_button, status_message]
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)
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app.launch(debug=True, share=True)
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