Create app.py

app.py

@@ -0,0 +1,106 @@
+import streamlit as st
+import pandas as pd
+from datasets import load_dataset
+
+
+# Load data
+@st.cache_data  # Cache data for performance improvement
+def load_data():
+    dataset = load_dataset("santhosh/day_in_history", split="train")
+    df = pd.DataFrame(dataset)
+    return df
+
+
+# Function to process user input (date) and return description and reference
+def process_date(day, month, year=None):
+    # Filter data based on selected date
+    if year is None or year == "":
+        filtered_data = df[(df["month"] == month) & (df["day"] == int(day))]
+    else:
+        filtered_data = df[
+            (df["year"] == int(year)) & (df["month"] == month) & (df["day"] == int(day))
+        ]
+
+    if not filtered_data.empty:
+        # Prepare empty lists to store descriptions and references
+        descriptions = []
+        references = []
+
+        # Loop through filtered data and append descriptions and references
+        for index, row in filtered_data.iterrows():
+            descriptions.append(row["event_description"])
+            references.append(row["reference"])
+
+        # Return lists of descriptions and references
+        return descriptions
+    else:
+        return [f"No data found for selected date {year} {month} {day}"]
+
+
+def main():
+    df = load_data()
+    # Page title and header
+    st.title("Day in History")
+    with st.form("my_form"):
+        st.header("Select a date to view results")
+        col1, col2, col3 = st.columns(3)
+        # Datepicker
+        with col1:
+            selected_day = st.selectbox("Select Day", range(1, 32), index=14)
+        with col2:
+            selected_month = st.selectbox(
+                "Select Month",
+                [
+                    "January",
+                    "February",
+                    "March",
+                    "April",
+                    "May",
+                    "June",
+                    "July",
+                    "August",
+                    "September",
+                    "October",
+                    "November",
+                    "December",
+                ],
+                index=7,
+            )
+        with col3:
+            selected_year = st.number_input(
+                "Enter Year (optional)", min_value=0, max_value=9999, value=None
+            )
+        submitted = st.form_submit_button("Submit")
+    if submitted:
+        # Process data based on selected date
+        if selected_year is None or selected_year == "":
+            filtered_data = df[
+                (df["month"] == selected_month) & (df["day"] == int(selected_day))
+            ]
+        else:
+            filtered_data = df[
+                (df["year"] == int(selected_year))
+                & (df["month"] == selected_month)
+                & (df["day"] == int(selected_day))
+            ]
+
+        # Display results
+        if not filtered_data.empty:
+            st.subheader("Search Results")
+
+            for index, row in filtered_data.iterrows():
+                container = st.container(border=True)
+                container.title(f"{row['year']} {row['month']} {row['day']}")
+                container.markdown(
+                    f"{row['event_description']}", unsafe_allow_html=True
+                )
+                if row["reference"] is not None:
+                    container.markdown(f"{row['reference']}", unsafe_allow_html=True)
+        else:
+            st.warning(
+                f"No data found for selected date {selected_year} {selected_month} {selected_day}"
+            )
+
+
+if __name__ == "__main__":
+    main()