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)