Update README.md

README.md

@@ -12,9 +12,10 @@ Currently, this model is trained on **7.1 million Plant DNA promoter sequences**
 References:
 - [GitHub Repository](https://github.com/gurveervirk/florabert/)
 - [Kaggle Dataset](https://www.kaggle.com/datasets/gurveersinghvirk/florabert-base)
+- [Video Demo](https://youtu.be/WZzjHH740kw)
 
-To get predictions from **DNA promoter sequences of plants**, add your text file containing the sequences (1 sequence per line) to the data folder and call the main() function from prediction.py with your file name.
-For example
+To get predictions from **DNA promoter sequences of plants** from console / command-line directly, add your text file containing the sequences (1 sequence per line) to the data folder and call the main() function from prediction.py with your file name.
+For example:
 
 - Update ```main("test.txt")``` with your file name
 - Now, run ```python prediction.py```
@@ -23,7 +24,7 @@ The results will be visible in tabular format in the console.
 For example,
 | tassel |  base  | anther | middle |  ear   | shoot  |  tip   |  root  |
 |--------|--------|--------|--------|--------|--------|--------|--------|
-| 0.4235 | 0.3031 | 0.3657 | 0.3663 | 0.2787 | 0.3809 | 0.4167 | 0.2861 |
+| 8.65 | 7.901 | 2.004 | 8.4001 | 7.523 | 6.23 | 9.0112 | 8.221 |
 
 The values in the table correspond to TPM values for the tissues in the plants. TPM values are normalized gene expression values.