diff --git a/README.md b/README.md
index 1815a6b..ffc4fd6 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,11 @@ A flexible deep neural network framework for predicting the transcript distribut
 - numpy 1.21.6
 - pandas 1.4.4
 - scikit-learn 1.0.2
-
+- tqdm
+- logzero
+- ruamel.yaml
+- click
+- torchvision
 
 ## Data Available
 The data used in our research can be downloaded from https://zenodo.org/record/8063157
@@ -24,7 +28,7 @@ mkdir saved_model
 
 2. Run preprocess.py to generate positive samples between spatial transcriptomics.
 ```
-python prerocess.py -c ./configure/osmFISH_Zeisel.yaml
+python preprocess.py -c ./configure/osmFISH_Zeisel.yaml
 ```
 
 3. Run main.py to train and predict the transcript distribution of the spatial transcriptomics.
diff --git a/preprocess.py b/preprocess.py
index 92b187b..36e2aa1 100644
--- a/preprocess.py
+++ b/preprocess.py
@@ -11,6 +11,8 @@
 
 from utils import read_pkl, save_pkl
 
+import click
+import main
 
 @click.command()
 @click.option('-c', '--config', type=click.Path(exists=True))
@@ -53,4 +55,3 @@ def get_lasso(config):
 
 if __name__=='__main__':
     main()
-    
\ No newline at end of file