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Create app.py
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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)