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import gradio as gr
import pandas as pd
from PIL import Image
# Function to read CSV and show preview
def read_csv(file):
df = pd.read_csv(file.name)
return df.head() # Show only the first 5 rows for preview
# Function to upload and display an image
def upload_image(image_file):
img = Image.open(image_file.name)
return img
# Function to select CSV display options (Preview or Full View)
def toggle_view(file, view_type):
df = pd.read_csv(file.name)
if view_type == "Preview":
return df.head() # Show the first 5 rows for preview
return df # Show the entire data
# Creating Gradio Interface
with gr.Blocks() as demo:
# Create a menu bar
gr.HTML("""
<div style="background-color:#f5f5f5;padding:10px;border-radius:5px;">
<h3 style="margin:0;">CSV and Image Viewer App</h3>
</div>
""")
# Image Upload Section
with gr.Row():
image_input = gr.File(label="Upload Image", type="filepath", file_count="single")
image_output = gr.Image(type="pil")
image_input.change(upload_image, inputs=image_input, outputs=image_output)
# CSV File Upload Section
with gr.Row():
file_input = gr.File(label="Upload CSV File", type="filepath")
file_output = gr.DataFrame()
# Radio buttons to select CSV view type (Preview or Full)
view_selector = gr.Radio(label="View Type", choices=["Preview", "Full View"], value="Preview")
file_input.change(toggle_view, inputs=[file_input, view_selector], outputs=file_output)
view_selector.change(toggle_view, inputs=[file_input, view_selector], outputs=file_output)
demo.launch()
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