Update app.py

app.py

@@ -20,12 +20,11 @@ import plotly.express as px
 
 # Load Dataset
 # Example: 'country' column for country names, other columns for years
-data = pd.read_csv("child_mortality_0_5_year_olds_dying_per_1000_born.csv")
+data = pd.read_csv("https://huggingface.co/spaces/jiyachachan/fp2/resolve/main/child_mortality_0_5_year_olds_dying_per_1000_born.csv")
 
 # Melt the data to long format for easier filtering
 data_melted = data.melt(id_vars=["country"], var_name="year", value_name="mortality_rate")
 data_melted["year"] = pd.to_numeric(data_melted["year"])
-
 # Streamlit App
 st.title("Global Child Mortality Rate (per 1000 children born)")
 st.write("""This interactive visualization provides an insightful overview of child mortality rates (number of deaths per 1,000 live births) across countries for a selected year.