app.py

import gradio as gr
import pandas as pd
import matplotlib.pyplot as plt
import io
import google.generativeai as genai
from PIL import Image

def process_file(api_key, file, instructions):
    genai.configure(api_key=api_key)
    model = genai.GenerativeModel('gemini-2.5-pro-preview-03-25')

    # Read file
    if file.name.endswith('.csv'):
        df = pd.read_csv(file.name)
    else:
        df = pd.read_excel(file.name)

    # Updated prompt with valid matplotlib styles
    prompt = f"""Generate 3 matplotlib codes with these requirements:
    1. Start with: plt.figure(figsize=(16,9), dpi=120)
    2. Use one of these styles: ggplot, bmh, dark_background, fast
    3. Include: title, labels, grid, legend if needed
    4. Different chart types (bar, line, scatter, etc)
    
    Data columns: {list(df.columns)}
    Sample data: {df.head(3).to_dict()}
    User instructions: {instructions or 'None'}
    
    Format exactly as:
    # Visualization 1
    plt.figure(figsize=(16,9), dpi=120)
    plt.style.use('ggplot')  # Example valid style
    [code]
    plt.tight_layout()
    """

    response = model.generate_content(prompt)
    code_blocks = response.text.split("# Visualization ")[1:4]

    visualizations = []
    for i, block in enumerate(code_blocks, 1):
        try:
            cleaned_code = '\n'.join([
                line.strip() for line in block.split('\n') 
                if line.strip() and not line.startswith('```')
            ])
            
            buf = io.BytesIO()
            plt.figure(figsize=(16, 9), dpi=120)
            
            # Execute code with safe environment
            exec_env = {
                'df': df,
                'plt': plt,
                'pd': pd
            }
            exec(cleaned_code, exec_env)
            
            plt.tight_layout()
            plt.savefig(buf, format='png', bbox_inches='tight')
            plt.close()
            
            buf.seek(0)
            visualizations.append(Image.open(buf))
        except Exception as e:
            print(f"Visualization {i} Error: {str(e)}")
            visualizations.append(None)

    return visualizations + [None]*(3-len(visualizations))

# Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Data Visualization Tool")
    
    with gr.Row():
        api_key = gr.Textbox(label="Gemini API Key", type="password")
        file = gr.File(label="Upload CSV/Excel", file_types=[".csv", ".xlsx"])
    
    instructions = gr.Textbox(label="Custom Instructions")
    submit = gr.Button("Generate Visualizations")
    
    with gr.Row():
        outputs = [gr.Image(label=f"Visualization {i+1}") for i in range(3)]

    submit.click(
        process_file,
        inputs=[api_key, file, instructions],
        outputs=outputs
    )

demo.launch()