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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) | |