feature: get indicators from hf dataset

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import pandas as pd
+from datasets import load_dataset
 
 # Initialize total counts
 total_yes_count = 0
@@ -35,7 +36,8 @@ def calculate_overall_percentage():
 
 
 # Load data
-df = pd.read_csv("fmti-indicators.csv")
+dataset = load_dataset("mariagrandury/fmti-indicators")
+df = pd.DataFrame(dataset["train"])
 grouped = df.groupby(["Domain", "Subdomain"])
 
 # Create an interface per group of indicators

requirements.txt

@@ -1,3 +1,4 @@
+datasets==2.15.0
 gradio==4.5.0
 pypdf2==3.0.1
 requests==2.31.0