Code Editor for app.py

import streamlit as st
import pandas as pd
from io import StringIO

st.title("File Uploader Demo")

st.write("Upload a file and see its contents:")

# Single file uploader
uploaded_file = st.file_uploader("Choose a file")

if uploaded_file is not None:
    st.success(f"File uploaded: {uploaded_file.name}")
    
    # Display file details
    st.write(f"**File name:** {uploaded_file.name}")
    st.write(f"**File type:** {uploaded_file.type}")
    st.write(f"**File size:** {uploaded_file.size} bytes")
    
    # Try to read the file based on its type
    try:
        if uploaded_file.type == "text/csv":
            # Read as CSV
            df = pd.read_csv(uploaded_file)
            st.write("**CSV Content:**")
            st.table(df)
        elif uploaded_file.type == "text/plain":
            # Read as text
            stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
            string_data = stringio.read()
            st.write("**Text Content:**")
            st.text(string_data)
        elif uploaded_file.type.startswith("image/"):
            # Display image
            st.write("**Image Preview:**")
            st.image(uploaded_file)
        else:
            # Show raw bytes for other file types
            bytes_data = uploaded_file.getvalue()
            st.write("**Raw bytes (first 1000 characters):**")
            st.text(str(bytes_data[:1000]))
    except Exception as e:
        st.error(f"Error reading file: {str(e)}")

st.divider()

# Multiple file uploader
st.write("Upload multiple files:")
uploaded_files = st.file_uploader(
    "Choose multiple files", 
    accept_multiple_files=True
)

if uploaded_files:
    st.success(f"{len(uploaded_files)} files uploaded")
    
    for i, uploaded_file in enumerate(uploaded_files):
        st.write(f"**File {i+1}:** {uploaded_file.name} ({uploaded_file.size} bytes)")

st.divider()

# Specific file type uploader
st.write("Upload only CSV files:")
csv_file = st.file_uploader(
    "Choose a CSV file", 
    type=['csv']
)

if csv_file is not None:
    df = pd.read_csv(csv_file)
    st.write("**CSV Data:**")
    st.table(df)

st.divider()

# Image uploader
st.write("Upload only image files:")
image_file = st.file_uploader(
    "Choose an image", 
    type=['png', 'jpg', 'jpeg', 'gif']
)

if image_file is not None:
    st.image(image_file, caption="Uploaded Image", use_column_width=True)