Support Excel File Upload in Data Analysis Agent

Description:

The current implementation of the data-analysis-agent in community/data-analysis-agent only allows CSV files for upload and analysis:

file = st.file_uploader("Choose CSV", type=["csv"])

However, many data analysts frequently work with Microsoft Excel files (.xlsx or .xls) in addition to CSV. To enhance usability and broaden adoption, the file uploader should support both CSV and Excel formats.

Proposed Enhancement:

Update the st.file_uploader line to accept both csv and xlsx file types.

Add logic to detect the file extension and load using either:

pd.read_csv(file) for CSV

pd.read_excel(file) for Excel

Benefit:

This change will make the tool more flexible for data analysts and users who prefer working with Excel formats, which are common in business and research environments.

In community/data-analysis-agent, individua il file uploader di Streamlit e il punto di ingresso circostante per il caricamento dei dati. Leggi come viene gestito attualmente l’upload dei CSV, quindi verifica che l’uploader accetti le estensioni CSV ed Excel e che ogni formato utilizzi il loader pandas corrispondente. Il lavoro è completato quando sia i file CSV sia quelli Excel possono essere caricati e analizzati senza modificare il comportamento esistente dei CSV.