Update README.md

README.md

@@ -1,13 +1,3 @@
----
-title: T5S
-emoji: 💯
-colorFrom: yellow
-colorTo: red
-sdk: streamlit
-app_file: src/visualization/visualize.py
-pinned: false
----
-
 <h1 align="center">t5s</h1>
 
 T5 Summarisation Using Pytorch Lightning, DVC, DagsHub and HuggingFace Spaces
@@ -85,49 +75,12 @@ t5s visualize
 ```
 And this would create a streamlit app for testing
 
- 
-Project Organization
-------------
-
-    ├── LICENSE
-    ├── Makefile           <- Makefile with commands like `make dirs` or `make clean`
-    ├── README.md          <- The top-level README for developers using this project.
-    ├── data
-    │   ├── processed      <- The final, canonical data sets for modeling.
-    │   └── raw            <- The original, immutable data dump.
-    │
-    ├── models             <- Trained and serialized models, model predictions, or model summaries
-    │
-    ├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
-    │                         the creator's initials, and a short `-` delimited description, e.g.
-    │                         `1.0-jqp-initial-data-exploration`.
-    ├── references         <- Data dictionaries, manuals, and all other explanatory materials.
-    │
-    ├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
-    │   └── metrics.txt    <- Relevant metrics after evaluating the model.
-    │   └── training_metrics.txt    <- Relevant metrics from training the model.
-    │
-    ├── requirements.txt   <- The requirements file for reproducing the analysis environment
-    │
-    ├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
-    ├── src                <- Source code for use in this project.
-    │   ├── __init__.py    <- Makes src a Python module
-    │   │
-    │   ├── data           <- Scripts to download or generate data
-    │   │   └── make_dataset.py
-    │   │   └── process_data.py
-    │   │
-    │   ├── models         <- Scripts to train models 
-    │   │   ├── predict_model.py
-    │   │   └── train_model.py
-    │   │   └── evaluate_model.py
-    │   │   └── model.py
-    │   │
-    │   └── visualization  <- Scripts to create exploratory and results oriented visualizations
-    │       └── visualize.py
-    │
-    ├── tox.ini            <- tox file with settings for running tox; see tox.testrun.org
-    └── data.dvc          <- Traing a model on the processed data.
-
-
---------
+---
+title: T5S
+emoji: 💯
+colorFrom: yellow
+colorTo: red
+sdk: streamlit
+app_file: src/visualization/visualize.py
+pinned: false
+---