Update documentation based on user feedback (#1141)

docs/components/data-sources/pdf-file.mdx

@@ -1,14 +1,31 @@
 ---
-title: '📰 PDF file'
+title: '📰 PDF'
 ---
 
-To add any pdf file, use the data_type as `pdf_file`. Eg:
+You can load any pdf file from your local file system or through a URL.
+
+## Setup
+Install the following packages for loading youtube videos which help in transcription.
+
+```bash
+pip install pytube youtube-transcript-api
+```
+
+## Usage
+
+### Load from a local file
 
 ```python
 from embedchain import App
-
 app = App()
+app.add('/path/to/file.pdf', data_type='pdf_file')
+```
 
+### Load from URL
+
+```python
+from embedchain import App
+app = App()
 app.add('https://arxiv.org/pdf/1706.03762.pdf', data_type='pdf_file')
 app.query("What is the paper 'attention is all you need' about?", citations=True)
 # Answer: The paper "Attention Is All You Need" proposes a new network architecture called the Transformer, which is based solely on attention mechanisms. It suggests that complex recurrent or convolutional neural networks can be replaced with a simpler architecture that connects the encoder and decoder through attention. The paper discusses how this approach can improve sequence transduction models, such as neural machine translation.
@@ -23,25 +40,11 @@ app.query("What is the paper 'attention is all you need' about?", citations=True
 #             ...
 #         }
 #     ),
-#     (
-#         'Attention Visualizations Input ...',
-#         {
-#             'page': 12,
-#             'url': 'https://arxiv.org/pdf/1706.03762.pdf',
-#             'score': 0.41679039679873736,
-#             ...
-#         }
-#     ),
-#     (
-#         'sequence learning ...',
-#         {
-#             'page': 10,
-#             'url': 'https://arxiv.org/pdf/1706.03762.pdf',
-#             'score': 0.4188303600897153,
-#             ...
-#         }
-#     )
 # ]
 ```
 
-Note that we do not support password protected pdfs.
+We also store the page number under the key `page` with each chunk that helps understand where the answer is coming from. You can fetch the `page` key while during retrieval (refer to the example given above).
+
+<Note>
+Note that we do not support password protected pdf files.
+</Note>