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Update app.py
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app.py
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@@ -1,10 +1,170 @@
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import gradio as gr
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import requests
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import os
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import re
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import mimetypes
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"""Downloads a file from a URL and returns the local file path."""
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if not url.startswith("http://") and not url.startswith("https://"):
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url = "http://" + url # Prepend "http://" if not present
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@@ -28,20 +188,35 @@ def download_file(url):
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with open(temp_filename, 'wb') as f:
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for chunk in response.iter_content(chunk_size=8192000):
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f.write(chunk)
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except requests.exceptions.MissingSchema:
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return "Error: Invalid URL format. Even after adding 'http://', the URL is still invalid."
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except requests.exceptions.ConnectionError:
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return "Error: Could not connect to the server. Please check your internet connection."
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except requests.exceptions.RequestException as e:
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return f"Error downloading file: {e}"
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iface = gr.Interface(
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fn=
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inputs=
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-
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"This tool is designed for use with Hugging Face Chat Tools: "
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"[https://hf.co/chat/tools/66f1a8159d41ad4398ebb711](https://hf.co/chat/tools/66f1a8159d41ad4398ebb711)",
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concurrency_limit=None
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import PyPDF2
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from openpyxl import load_workbook
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from pptx import Presentation
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import gradio as gr
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import io
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import re
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import zipfile
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import xml.etree.ElementTree as ET
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import filetype
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import requests
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import os
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import mimetypes
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# Constants
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CHUNK_SIZE = 32000
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# --- Utility Functions ---
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def xml2text(xml):
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"""Extracts text from XML data."""
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text = u''
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root = ET.fromstring(xml)
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for child in root.iter():
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text += child.text + " " if child.text is not None else ''
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return text
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def clean_text(content):
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"""Cleans text content based on the 'clean' parameter."""
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content = content.replace('\n', ' ')
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content = content.replace('\r', ' ')
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content = content.replace('\t', ' ')
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content = re.sub(r'\s+', ' ', content)
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return content
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def split_content(content, chunk_size=CHUNK_SIZE):
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"""Splits content into chunks of a specified size."""
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chunks = []
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for i in range(0, len(content), chunk_size):
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chunks.append(content[i:i + chunk_size])
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return chunks
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# --- Document Reading Functions ---
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def extract_text_from_docx(docx_data, clean=True):
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"""Extracts text from DOCX files."""
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text = u''
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zipf = zipfile.ZipFile(io.BytesIO(docx_data))
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filelist = zipf.namelist()
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header_xmls = 'word/header[0-9]*.xml'
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for fname in filelist:
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if re.match(header_xmls, fname):
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text += xml2text(zipf.read(fname))
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doc_xml = 'word/document.xml'
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text += xml2text(zipf.read(doc_xml))
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footer_xmls = 'word/footer[0-9]*.xml'
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for fname in filelist:
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if re.match(footer_xmls, fname):
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text += xml2text(zipf.read(fname))
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zipf.close()
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if clean:
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text = clean_text(text)
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return text, len(text)
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def extract_text_from_pptx(pptx_data, clean=True):
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"""Extracts text from PPT files."""
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text = u''
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zipf = zipfile.ZipFile(io.BytesIO(pptx_data))
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filelist = zipf.namelist()
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# Extract text from slide notes
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notes_xmls = 'ppt/notesSlides/notesSlide[0-9]*.xml'
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for fname in filelist:
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if re.match(notes_xmls, fname):
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text += xml2text(zipf.read(fname))
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# Extract text from slide content (shapes and text boxes)
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slide_xmls = 'ppt/slides/slide[0-9]*.xml'
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for fname in filelist:
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if re.match(slide_xmls, fname):
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text += xml2text(zipf.read(fname))
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zipf.close()
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if clean:
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text = clean_text(text)
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return text, len(text)
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def read_document(file_path, clean=True):
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with open(file_path, "rb") as f:
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file_content = f.read()
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kind = filetype.guess(file_content)
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if kind is None:
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mime = "text"
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else:
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mime = kind.mime
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if mime == "application/pdf":
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try:
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pdf_reader = PyPDF2.PdfReader(io.BytesIO(file_content))
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content = ''
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for page in range(len(pdf_reader.pages)):
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content += pdf_reader.pages[page].extract_text()
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if clean:
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content = clean_text(content)
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return content, len(repr(content))
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except Exception as e:
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return f"Error reading PDF: {e}", 0
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elif mime == "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet":
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try:
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wb = load_workbook(io.BytesIO(file_content))
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content = ''
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for sheet in wb.worksheets:
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for row in sheet.rows:
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for cell in row:
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if cell.value is not None:
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content += str(cell.value) + ' '
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if clean:
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content = clean_text(content)
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return content, len(repr(content))
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except Exception as e:
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return f"Error reading XLSX: {e}", 0
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elif mime == "text/plain":
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try:
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content = file_content.decode('utf-8')
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if clean:
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content = clean_text(content)
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return content, len(repr(content))
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except Exception as e:
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return f"Error reading TXT file: {e}", 0
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elif mime == "text/csv":
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try:
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content = file_content.decode('utf-8')
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if clean:
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content = clean_text(content)
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return content, len(repr(content))
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except Exception as e:
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return f"Error reading CSV file: {e}", 0
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elif mime == "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
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try:
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return extract_text_from_docx(file_content, clean)
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except Exception as e:
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return f"Error reading DOCX: {e}", 0
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elif mime == "application/vnd.openxmlformats-officedocument.presentationml.presentation":
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try:
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return extract_text_from_pptx(file_content, clean)
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except Exception as e:
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return f"Error reading PPTX: {e}", 0
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else:
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try:
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content = file_content.decode('utf-8')
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if clean:
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content = clean_text(content)
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return content, len(repr(content))
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except Exception as e:
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return f"Error reading file: {e}", 0
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def download_and_process_file(url, clean=True):
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"""Downloads a file from a URL and returns the local file path."""
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if not url.startswith("http://") and not url.startswith("https://"):
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url = "http://" + url # Prepend "http://" if not present
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with open(temp_filename, 'wb') as f:
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for chunk in response.iter_content(chunk_size=8192000):
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f.write(chunk)
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# Check if it's an image type
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kind = filetype.guess(temp_filename)
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if kind and kind.mime.startswith('image/'):
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return f"", 0 # Return markdown image syntax if it's an image
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else:
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return read_document(temp_filename, clean) # Otherwise, process as a document
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except requests.exceptions.MissingSchema:
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return "Error: Invalid URL format. Even after adding 'http://', the URL is still invalid.", 0
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except requests.exceptions.ConnectionError:
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return "Error: Could not connect to the server. Please check your internet connection.", 0
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except requests.exceptions.RequestException as e:
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return f"Error downloading file: {e}", 0
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# --- Gradio Interface ---
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iface = gr.Interface(
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fn=download_and_process_file,
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inputs=[
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gr.Textbox(lines=1, placeholder="Enter URL of the file"),
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gr.Checkbox(label="Clean Text", value=True),
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],
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outputs=[
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gr.Textbox(label="Document Content/Image Markdown"),
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gr.Number(label="Document Length (characters)"),
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],
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title="Enhanced File Processor for Hugging Face Chat Tools",
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description="Enter the URL of site and extract its content"
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"This tool is designed for use with Hugging Face Chat Tools: "
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"[https://hf.co/chat/tools/66f1a8159d41ad4398ebb711](https://hf.co/chat/tools/66f1a8159d41ad4398ebb711)",
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concurrency_limit=None
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