Update README.md

README.md

@@ -8,7 +8,7 @@ inference: false
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is intended to predict emotions (valence, arousal) in written stories. For all details see [the paper (TODO)](#) and [the accompanying github repo (TODO)](#).
+This model is intended to predict emotions (valence, arousal) in written stories. For all details see [the paper (TODO)](#) and [the accompanying github repo](https://github.com/lc0197/emotional_trajectories_stories).
 
 
 
@@ -37,14 +37,14 @@ are meant to be the predictions for the sentence preceding it. All other tokens'
 
 ![image](tales_vertical.png)
 
-The [accompanying repo](TODO) provides a convenient script to use the model for prediction.
+The [accompanying repo](https://github.com/lc0197/emotional_trajectories_stories) provides a convenient script to use the model for prediction.
 
 ### Model Sources
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [Github](TODO)
-- **Paper:** [ArXiv](TODO)
+- **Repository:** [Github](https://github.com/lc0197/emotional_trajectories_stories)
+- **Paper:** [ArXiv](#)
 
 ## Uses
 
@@ -53,7 +53,7 @@ This model is intended to predict emotions (valence, arousal) in written stories
 Please note that the model is not production-ready and provided here for demonstration purposes only. 
 For details on the datasets used, please refer to the [paper (TODO)](#).
 
-In the [github repository](TODO), a convenient script to predict V/A in existing texts is provided. Example call: 
+In the [github repository](https://github.com/lc0197/emotional_trajectories_stories), a convenient script to predict V/A in existing texts is provided. Example call: 
 
 ``
 python3 predict.py --input_csv input_file.csv --output_csv output_file.csv --checkpoint_dir chrlukas/stories-emotion-c4 --window_size 4 --batch_size 4