Update app.py

app.py

@@ -2,52 +2,79 @@ import gradio as gr
 import pandas as pd
 import matplotlib.pyplot as plt
 import io
-import google.generativeai as genai
 from PIL import Image, ImageDraw, ImageFont
-import ast
-import re
 import traceback
 
 def process_file(api_key, file, instructions):
-    # Function implementation goes here
-    pass  # Add proper indentation for actual implementation
+    try:
+        # Read uploaded file
+        if file.name.endswith('.csv'):
+            df = pd.read_csv(file.name)
+        elif file.name.endswith('.xlsx'):
+            df = pd.read_excel(file.name)
+        else:
+            raise ValueError("Unsupported file format")
+
+        # Generate sample visualizations (replace with actual logic)
+        fig1, ax1 = plt.subplots()
+        df.plot(kind='bar', ax=ax1)
+        ax1.set_title("Sample Bar Chart")
+        
+        fig2, ax2 = plt.subplots()
+        df.plot(kind='line', ax=ax2)
+        ax2.set_title("Sample Line Chart")
+        
+        fig3, ax3 = plt.subplots()
+        df.plot(kind='hist', ax=ax3)
+        ax3.set_title("Sample Histogram")
+
+        # Convert plots to PIL Images
+        def fig_to_image(fig):
+            buf = io.BytesIO()
+            fig.savefig(buf, format='png')
+            buf.seek(0)
+            return Image.open(buf)
 
-def sanitize_code(code_block, columns):
-    # Function implementation goes here
-    pass  # Add proper indentation for actual implementation
+        return [
+            fig_to_image(fig1),
+            fig_to_image(fig2),
+            fig_to_image(fig3)
+        ]
 
-def execute_plot_code(code, df):
-    # Function implementation goes here
-    pass  # Add proper indentation for actual implementation
+    except Exception as e:
+        error_message = f"{str(e)}\n{traceback.format_exc()}"
+        return [generate_error_image(error_message)] * 3
 
 def generate_error_image(message):
     """Create error indication image with message"""
     try:
-        img = Image.new('RGB', (1920, 1080), color=(255, 255, 255))
+        img = Image.new('RGB', (800, 400), color=(255, 255, 255))
         draw = ImageDraw.Draw(img)
-        
-        # Use default font
         font = ImageFont.load_default()
         
-        # Calculate text position
-        text_width, text_height = draw.textsize(message, font=font)
-        x = (1920 - text_width) / 2
-        y = (1080 - text_height) / 2
-        
-        # Draw message
-        draw.text((x, y), message, font=font, fill=(255, 0, 0))
-        
+        # Wrap text
+        lines = []
+        for line in message.split('\n'):
+            if len(line) > 80:
+                lines.extend([line[i:i+80] for i in range(0, len(line), 80)])
+            else:
+                lines.append(line)
+
+        y_text = 10
+        for line in lines[:20]:  # Limit to 20 lines
+            draw.text((10, y_text), line, font=font, fill=(255, 0, 0))
+            y_text += 15
+
         return img
     except Exception as e:
-        # Fallback if text rendering fails
-        return Image.new('RGB', (1920, 1080), color=(255, 255, 255))
+        return Image.new('RGB', (800, 400), color=(255, 255, 255))
 
 # Gradio interface
 with gr.Blocks(theme=gr.themes.Default(spacing_size="lg")) as demo:
     gr.Markdown("# Professional Data Visualizer")
     
     with gr.Row():
-        api_key = gr.Textbox(label="Gemini API Key", type="password")
+        api_key = gr.Textbox(label="API Key", type="password")
         file = gr.File(label="Upload Data File", file_types=[".csv", ".xlsx"])
     
     instructions = gr.Textbox(label="Visualization Instructions")