adding code for displaying df and png

app.py

@@ -10,6 +10,7 @@ import pydicom.datadict as dd
 import shutil
 import papermill as pm 
 import subprocess 
+from PIL import Image
 
 st.write(os.listdir())
 
@@ -89,5 +90,10 @@ if st.button("Run inference"):
         )
 
     # show classification results df 
+    st.write(pd.load_csv('classification_results.df'))
+
+    # show image 
+    image_path = 'image_for_classification.png'
+    image = Image.open(image_path).convert('L')
+    st.image(image, caption='input image for classification', use_column_width=True)
 
-    # show image 

requirements.txt

@@ -14,4 +14,5 @@ matplotlib==3.7.1
 scikit-learn==1.2.2
 sklearn-pandas
 numpy==1.25.2
-git+https://github.com/rordenlab/dcm2niix.git 
+git+https://github.com/rordenlab/dcm2niix.git 
+pillow