Spaces:
Sleeping
Sleeping
Update README.md
Browse files
README.md
CHANGED
@@ -1,12 +1,40 @@
|
|
1 |
---
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
7 |
-
|
8 |
-
|
9 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
---
|
11 |
|
12 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
|
|
1 |
---
|
2 |
+
---
|
3 |
+
overview:
|
4 |
+
description: >
|
5 |
+
This project is a Language Model (LLM) Summarizer that utilizes the
|
6 |
+
power of
|
7 |
+
|
8 |
+
Hugging Face's Transformers library to generate summaries from given text content.
|
9 |
+
|
10 |
+
The application is designed to simplify the summarization process, making it easy
|
11 |
+
|
12 |
+
for users to generate concise summaries for large volumes of text.
|
13 |
+
getting_started:
|
14 |
+
steps:
|
15 |
+
- create_virtual_environment: >
|
16 |
+
Create a virtual environment in Python using
|
17 |
+
[venv](https://docs.python.org/3/library/venv.html)
|
18 |
+
|
19 |
+
to manage project dependencies.
|
20 |
+
- install_dependencies: >
|
21 |
+
Run the following command to install the required packages
|
22 |
+
from the `requirements.txt` file:
|
23 |
+
|
24 |
+
```bash
|
25 |
+
|
26 |
+
pip install -r requirements.txt
|
27 |
+
|
28 |
+
```
|
29 |
+
- set_huggingface_api_token: >
|
30 |
+
- Obtain your Hugging Face API token from [Hugging
|
31 |
+
Face](https://huggingface.co/).
|
32 |
+
|
33 |
+
- Set the `HUGGINGFACEHUB_API_TOKEN` environment variable with your Hugging Face API key.
|
34 |
+
Also, ensure that the `api` variable in the code matches your key.
|
35 |
+
- run_application: |
|
36 |
+
Execute the main
|
37 |
+
|
38 |
---
|
39 |
|
40 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|