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.

Dans community/data-analysis-agent, trouvez le chargeur de fichiers Streamlit et le point d’entrée de chargement des données qui l’entoure. Lisez comment le chargement actuel des CSV est géré, puis vérifiez que le chargeur accepte les extensions CSV et Excel et que chaque format utilise le chargeur pandas correspondant. La tâche est terminée lorsque les fichiers CSV et Excel peuvent tous deux être téléversés et analysés sans modifier le comportement existant des CSV.