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gradio_pdf

PyPI - Version Static Badge Static Badge

Easily display PDFs in Gradio

Installation

pip install gradio_pdf

Usage

import gradio as gr
from _app import demo as app
import os

_docs = {'PDF': {'description': 'A base class for defining methods that all input/output components should have.', 'members': {'__init__': {'value': {'type': 'Any', 'default': 'None', 'description': None}, 'height': {'type': 'int | None', 'default': 'None', 'description': None}, 'label': {'type': 'str | None', 'default': 'None', 'description': None}, 'info': {'type': 'str | None', 'default': 'None', 'description': None}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': None}, 'container': {'type': 'bool', 'default': 'True', 'description': None}, 'scale': {'type': 'int | None', 'default': 'None', 'description': None}, 'min_width': {'type': 'int | None', 'default': 'None', 'description': None}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': None}, 'visible': {'type': 'bool', 'default': 'True', 'description': None}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': None}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': None}, 'render': {'type': 'bool', 'default': 'True', 'description': None}, 'load_fn': {'type': 'Callable[..., Any] | None', 'default': 'None', 'description': None}, 'every': {'type': 'float | None', 'default': 'None', 'description': None}}, 'postprocess': {'value': {'type': 'str | None', 'description': None}}, 'preprocess': {'return': {'type': 'str', 'description': None}, 'value': None}}, 'events': {'change': {'type': None, 'default': None, 'description': ''}, 'upload': {'type': None, 'default': None, 'description': ''}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'PDF': []}}}
    
abs_path = os.path.join(os.path.dirname(__file__), "css.css")

with gr.Blocks(
    css=abs_path,
    theme=gr.themes.Default(
        font_mono=[
            gr.themes.GoogleFont("Inconsolata"),
            "monospace",
        ],
    ),
) as demo:
    gr.Markdown(
"""
# `gradio_pdf`

<div style="display: flex; gap: 7px;">
<a href="https://pypi.org/project/gradio_pdf/" target="_blank"><img alt="PyPI - Version" src="https://img.shields.io/pypi/v/gradio_pdf"></a> <a href="https://github.com/freddyaboulton/gradio-pdf/issues" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/Issues-white?logo=github&logoColor=black"></a> <a href="https://huggingface.co/spaces/freddyaboulton/gradio_pdf/discussions" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/%F0%9F%A4%97%20Discuss-%23097EFF?style=flat&logoColor=black"></a>
</div>

Easily display PDFs in Gradio
""", elem_classes=["md-custom"], header_links=True)
    app.render()
    gr.Markdown(
"""
## Installation

```bash
pip install gradio_pdf

Usage

import gradio as gr
from gradio_pdf import PDF
from pdf2image import convert_from_path
from transformers import pipeline
from pathlib import Path

dir_ = Path(__file__).parent

p = pipeline(
    "document-question-answering",
    model="impira/layoutlm-document-qa",
)

def qa(question: str, doc: str) -> str:
    img = convert_from_path(doc)[0]
    output = p(img, question)
    return sorted(output, key=lambda x: x["score"], reverse=True)[0]['answer']


demo = gr.Interface(
    qa,
    [gr.Textbox(label="Question"), PDF(label="Document")],
    gr.Textbox(),
    examples=[["What is the total gross worth?", str(dir_ / "invoice_2.pdf")],
              ["Whos is being invoiced?", str(dir_ / "sample_invoice.pdf")]]
)

if __name__ == "__main__":
    demo.launch()

""", elem_classes=["md-custom"], header_links=True)

gr.Markdown("""

PDF

Initialization

""", elem_classes=["md-custom"], header_links=True)

gr.ParamViewer(value=_docs["PDF"]["members"]["__init__"], linkify=[])


gr.Markdown("### Events")
gr.ParamViewer(value=_docs["PDF"]["events"], linkify=['Event'])




gr.Markdown("""

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

  • When used as an Input, the component only impacts the input signature of the user function.
  • When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

def predict(
   value: str
) -> str | None:
   return value

""", elem_classes=["md-custom", "PDF-user-fn"], header_links=True)

demo.load(None, js=r"""function() {
const refs = {};
const user_fn_refs = {
      PDF: [], };
requestAnimationFrame(() => {

    Object.entries(user_fn_refs).forEach(([key, refs]) => {
        if (refs.length > 0) {
            const el = document.querySelector(`.${key}-user-fn`);
            if (!el) return;
            refs.forEach(ref => {
                el.innerHTML = el.innerHTML.replace(
                    new RegExp("\\b"+ref+"\\b", "g"),
                    `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
                );
            })
        }
    })
    
    Object.entries(refs).forEach(([key, refs]) => {
        if (refs.length > 0) {
            const el = document.querySelector(`.${key}`);
            if (!el) return;
            refs.forEach(ref => {
                el.innerHTML = el.innerHTML.replace(
                    new RegExp("\\b"+ref+"\\b", "g"),
                    `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
                );
            })
        }
    })
})

}

""")

demo.launch()


## `PDF`

### Initialization

<table>
<thead>
<tr>
<th align="left">name</th>
<th align="left" style="width: 25%;">type</th>
<th align="left">default</th>
<th align="left">description</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><code>value</code></td>
<td align="left" style="width: 25%;">

```python
Any
None None height 
int | None
None None label 
str | None
None None info 
str | None
None None show_label 
bool | None
None None container 
bool
True None scale 
int | None
None None min_width 
int | None
None None interactive 
bool | None
None None visible 
bool
True None elem_id 
str | None
None None elem_classes 
list[str] | str | None
None None render 
bool
True None load_fn 
Callable[Ellipsis, Any] | None
None None every 
float | None
None None starting_page 
int | None
1 None

Events

name description
change
upload

User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

  • When used as an Input, the component only impacts the input signature of the user function.
  • When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

  • As output: Is passed, the preprocessed input data sent to the user's function in the backend.
  • As input: Should return, the output data received by the component from the user's function in the backend.
def predict(
    value: str
) -> str | None:
    return value

gradio-pdf's People

Contributors

freddyaboulton avatar maltenlz avatar

Stargazers

Elias Kouskoumvekakis avatar avatar Nilick avatar avatar Lee Harrold avatar

Watchers

avatar

Forkers

sanjumsanthosh maltenlz

gradio-pdf's Issues

upgrading to current cc development?

I've been fighting to try and set up a development environment for this component, when I realized this was released using probably 3.41.0... this was shortly before the codebase became modularized and more extensible, starting around February.

maybe we can get some AI assistance or, IDK even.. but I want to add more features, and it would be nice to use latest development.

maybe it would be easier to just rebuild this from scratch with the new "cc" module

Blocks example

Is this able to be easily used with Gradio 'Blocks' as opposed to 'Interface'? Are there any examples?

Other functions

Thanks for your work! Excellent and useful component!
if possible, add some functions like maxmizing(minimizing) the pics, rotating the pics and so on.
Many thanks for your excellent work!

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