@@ -41,7 +41,7 @@ This repository includes both the infrastructure and Python files needed so that
4141
4242### Architecture diagram
4343
44- ![ Architecture diagram: Microsoft Entra managed identity connecting to Azure AI services] ( ./diagram .png )
44+ ![ Architecture diagram: Microsoft Entra managed identity connecting to Azure AI services] ( ./readme_diagram .png )
4545
4646## Getting started
4747
@@ -132,12 +132,14 @@ A related option is VS Code Dev Containers, which will open the project in your
132132
1331333. Run an example by running either `python example_file.py` or selecting the `Run` button on the opened file. Available examples:
134134
135- * `extract_github_issue.py`: Fetches a public issue using the GitHub API, and then extracts details.
136- * `extract_github_repo.py`: Fetches a public README using the GitHub API, and then extracts details.
137- * `extract_image_graph.py`: Parses a local image of a graph and extracts details like title, axis, legend.
138- * `extract_image_table.py`: Parses a local image with tables and extracts nested tabular data.
139- * `extract_pdf_receipt.py`: Parses a local PDF using `pymupdf`, which converts it to Markdown, and extracts order details.
140- * `extract_webpage.py`: Parses a blog post using `BeautifulSoup`, and extracts title, description, and tags.
135+ | Script filename | Description |
136+ |---------------------------|-----------------------------------------------------------------------------|
137+ | `extract_github_issue.py` | Fetches a public issue using the GitHub API, and then extracts details. |
138+ | `extract_github_repo.py` | Fetches a public README using the GitHub API, and then extracts details. |
139+ | `extract_image_graph.py` | Parses a local image of a graph and extracts details like title, axis, legend. |
140+ | `extract_image_table.py` | Parses a local image with tables and extracts nested tabular data. |
141+ | `extract_pdf_receipt.py` | Parses a local PDF using `pymupdf`, which converts it to Markdown, and extracts order details. |
142+ | `extract_webpage.py` | Parses a blog post using `BeautifulSoup`, and extracts title, description, and tags. |
141143
142144## Guidance
143145
0 commit comments