Spaces:
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add pdf ext code
Browse files
app.py
CHANGED
@@ -1,5 +1,7 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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@@ -40,6 +42,20 @@ def respond(
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yield response
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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@@ -59,6 +75,18 @@ demo = gr.ChatInterface(
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],
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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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import PyPDF2
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import io
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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yield response
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def extract_text_from_pdf(pdf_file):
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if pdf_file is None:
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return "No file uploaded."
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try:
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pdf_reader = PyPDF2.PdfReader(io.BytesIO(pdf_file))
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text = ""
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for page in pdf_reader.pages:
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text += page.extract_text() + "\n\n"
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return text.strip()
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except Exception as e:
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return f"An error occurred: {str(e)}"
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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],
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)
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pdf_interface = gr.Interface(
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fn=extract_text_from_pdf,
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inputs=gr.File(label="Upload PDF", type="binary"),
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outputs="text",
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title="PDF Text Extractor",
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description="Upload a PDF file to extract its text content."
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)
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demo = gr.TabbedInterface(
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[demo, pdf_interface],
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["Chat", "PDF Extractor"]
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)
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if __name__ == "__main__":
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demo.launch()
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