Create app.py

app.py

@@ -0,0 +1,27 @@
+import streamlit as st
+import json
+from datasets import load_dataset
+
+st.set_page_config(page_title="Bot Issues", layout="wide")
+st.title("Bot Issues")
+
+@st.cache()
+def load_data():
+    ds = load_dataset("loubnabnl/bot_issues", split="train")
+    return ds
+
+def print_issue(events):
+    for event in events:
+        print("-" * 75)
+        masked_author = f"masked as {event['masked_author']}" if "masked_author" in event else ""
+        st.write(f"author: {event['author']} {masked_author}, {event['action']} {event['type']}: {event['title']}")
+        st.write(f"text: {event['text']}")
+
+samples = load_data()
+col1, _ = st.columns([2, 4])
+with col1:
+    index_example = st.number_input(f"Index of the chosen example from the existing {len(samples)}", min_value=0, max_value=max_docs-1, value=0, step=1)
+
+st.write(f"Issue size: {samples[index_example]['text_size_bots']}\n\n")
+print_issue(samples[index_example]["old_events"])
+