added code and files

app.py

@@ -0,0 +1,50 @@
+import os
+import streamlit as st
+from PIL import Image
+
+from inference import get_predictions
+
+
+st.title('Handwriting Recognition Demo')
+
+sample_files = os.listdir('./data/sample_images')
+tot_index = len(sample_files)
+sample_path = './data/sample_images'
+
+if 'image_index' not in st.session_state:
+    st.session_state['image_index'] = 4
+
+if 'which_button' not in st.session_state:
+    st.session_state['which_button'] = 'sample_button'
+
+st.write('**Select from sample images**')
+
+st.write("Select one from these available samples: ")
+current_index = st.session_state['image_index']
+current_image = Image.open(os.path.join(sample_path, sample_files[current_index]))
+
+# next = st.button('next_image')
+prev_button, next_button = st.columns(2)
+with prev_button:
+    prev = st.button('prev_image')
+with next_button:
+    next = st.button('next_image')
+if prev:
+    current_index = (current_index - 1) % tot_index
+if next:
+    current_index = (current_index + 1) % tot_index
+st.session_state['image_index'] = current_index
+sample_image = Image.open(os.path.join(sample_path, sample_files[current_index]))
+st.image(sample_image, caption='Chosen image')
+
+# use_sample_image = st.button("Use this Sample")
+# if use_sample_image is True:
+#     st.session_state['which_button'] = 'sample_button'
+
+predict_clicked = st.button("Get prediction")
+if predict_clicked:
+    which_button = st.session_state['which_button']
+    if which_button == 'sample_button':
+        predictions = get_predictions(sample_image)
+    st.markdown('**The model predictions along with their probabilities are :**')
+    st.write(predictions)