app.py

import streamlit as st
import pandas as pd
from transformers import pipeline

st.title("Zali Ai Dashboard for Data Analysis and Machine Learning")

# Sidebar menu
st.sidebar.header("Menu")
uploaded_file = st.sidebar.file_uploader("Upload a file", type=['csv', 'xlsx'])

if uploaded_file is not None:
    # Read the uploaded file
    df = pd.read_csv(uploaded_file)

    # Data Analysis Section
    st.subheader("Data Analysis")
    st.write(df.head())

    # Charts and Graphs
    st.subheader("Data Visualization")
    # Add your data visualization code here

    # Machine Learning Section
    st.subheader("Machine Learning Analysis")

    # Perform machine learning analysis using Hugging Face Transformers
    ml_pipeline = pipeline(task="text-classification", model="textattack/bert-base-uncased-imdb")
    text = "Replace this with your text data from the uploaded file"
    result = ml_pipeline(text)
    st.write("Machine Learning Result:")
    st.write(result)