Update app.py

app.py

@@ -2,20 +2,20 @@ import streamlit as st
 import pandas as pd
 import plotly.express as px
 
-# Load the Excel file
-def load_data(file_path):
-    return pd.read_excel(file_path)
+# Load the Excel file from a URL
+def load_data(url):
+    return pd.read_excel(url)
 
 # Function to filter data
-def filter_data(df, region, start_date, end_date):
-    filtered_df = df[(df['Region'] == region) &
-                     (df['Start Date'] >= start_date) &
-                     (df['End Date'] <= end_date)]
+def filter_data(df, location_region, priority, month):
+    filtered_df = df[(df['Location Region'] == location_region) &
+                     (df['Priority'] == priority) &
+                     (df['Month'] == month)]
     return filtered_df
 
 # Function to create timeline
 def create_timeline(df):
-    fig = px.timeline(df, x_start="Start Date", x_end="End Date", y="Conference Name", color="Region", title="Conference Timeline")
+    fig = px.timeline(df, x_start="Actual Date", x_end="Actual Date", y="Name", color="Location Region", title="Conference Timeline")
     fig.update_yaxes(categoryorder="total ascending")
     return fig
 
@@ -23,23 +23,25 @@ def create_timeline(df):
 def main():
     st.title("AI Conferences Timeline")
 
-    # Load data
-    file_path = "AI-Conferences.xls"  # Update with the correct path if needed
-    data = load_data(file_path)
+    # Load data from URL
+    url = "https://huggingface.co/datasets/Bexaga/AI-Conference/resolve/main/AI%20conferences%202025.xlsx"
+    data = load_data(url)
 
     # Sidebar for filters
     st.sidebar.header("Filter Options")
-    regions = data['Region'].unique()
-    selected_region = st.sidebar.selectbox("Select Region", regions)
-    start_date = st.sidebar.date_input("Start Date", data['Start Date'].min())
-    end_date = st.sidebar.date_input("End Date", data['End Date'].max())
+    location_regions = data['Location Region'].unique()
+    selected_location_region = st.sidebar.selectbox("Select Location Region", location_regions)
+    priorities = data['Priority'].unique()
+    selected_priority = st.sidebar.selectbox("Select Priority", priorities)
+    months = data['Month'].unique()
+    selected_month = st.sidebar.selectbox("Select Month", months)
 
     # Filter data based on user input
-    filtered_data = filter_data(data, selected_region, start_date, end_date)
+    filtered_data = filter_data(data, selected_location_region, selected_priority, selected_month)
 
     # Display filtered data
     st.subheader("Filtered Conferences")
-    st.dataframe(filtered_data)
+    st.dataframe(filtered_data[['Category', 'Name', 'Priority', 'Coverage', 'Month', 'Actual Date', 'Date status', 'URL', 'Location Region', 'Location']])
 
     # Create and display timeline
     st.subheader("Conference Timeline")