Commit
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164e312
0
Parent(s):
data_viewer
Browse files
app.py
ADDED
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@@ -0,0 +1,205 @@
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| 1 |
+
import gradio as gr
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| 2 |
+
import json
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| 3 |
+
import pandas as pd
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| 4 |
+
from typing import Dict, List
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| 5 |
+
import numpy as np
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| 6 |
+
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| 7 |
+
def flatten_dict(d: Dict, parent_key: str = '', sep: str = '.') -> Dict:
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| 8 |
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items = []
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| 9 |
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for k, v in d.items():
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| 10 |
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new_key = f"{parent_key}{sep}{k}" if parent_key else k
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| 11 |
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if isinstance(v, dict):
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| 12 |
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items.extend(flatten_dict(v, new_key, sep=sep).items())
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| 13 |
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else:
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| 14 |
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items.append((new_key, v))
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| 15 |
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return dict(items)
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| 16 |
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| 17 |
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def create_preview(text: str, max_length: int = 50) -> str:
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| 18 |
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if not isinstance(text, str):
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| 19 |
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text = str(text)
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| 20 |
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if len(text) <= max_length:
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| 21 |
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return text
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| 22 |
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return text[:max_length] + "..."
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| 23 |
+
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| 24 |
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class JsonViewer:
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| 25 |
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def __init__(self):
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| 26 |
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self.data = None
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| 27 |
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self.df = None
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| 28 |
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| 29 |
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def load_json(self, file):
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| 30 |
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if file is None:
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| 31 |
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return None, None
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| 32 |
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| 33 |
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try:
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| 34 |
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# Read JSON file
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| 35 |
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if isinstance(file, str):
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| 36 |
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with open(file, 'r', encoding='utf-8') as f:
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| 37 |
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self.data = json.load(f)
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| 38 |
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else:
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| 39 |
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content = file.decode('utf-8')
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| 40 |
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self.data = json.loads(content)
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| 41 |
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| 42 |
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# Convert to DataFrame
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| 43 |
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if isinstance(self.data, dict):
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| 44 |
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self.df = pd.DataFrame([self.data])
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| 45 |
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elif isinstance(self.data, list):
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| 46 |
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self.df = pd.DataFrame(self.data)
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| 47 |
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else:
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| 48 |
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raise ValueError("JSON must contain either a dictionary or a list of dictionaries")
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| 49 |
+
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| 50 |
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# Create preview for all columns
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| 51 |
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preview_df = self.df.copy()
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| 52 |
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for col in preview_df.columns:
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| 53 |
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preview_df[col] = preview_df[col].apply(create_preview)
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| 54 |
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| 55 |
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return preview_df, self.df.index.tolist()
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| 56 |
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except Exception as e:
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| 57 |
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return f"Error loading JSON: {str(e)}", None
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| 58 |
+
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| 59 |
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def get_full_row(self, index):
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| 60 |
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if self.df is None or index is None:
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| 61 |
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return "Please load a JSON file first"
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| 62 |
+
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| 63 |
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try:
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| 64 |
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row = self.df.iloc[int(index)]
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| 65 |
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formatted_data = json.dumps(row.to_dict(), indent=2)
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| 66 |
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return formatted_data
|
| 67 |
+
except Exception as e:
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| 68 |
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return f"Error displaying row: {str(e)}"
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| 69 |
+
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| 70 |
+
def create_interface():
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| 71 |
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viewer = JsonViewer()
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| 72 |
+
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| 73 |
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with gr.Blocks(css="""
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| 74 |
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#full_content {
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| 75 |
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font-family: monospace;
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| 76 |
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}
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| 77 |
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.content-container {
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| 78 |
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display: flex;
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| 79 |
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flex-wrap: wrap;
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| 80 |
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gap: 20px;
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| 81 |
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padding: 15px;
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| 82 |
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background: #f5f5f5;
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| 83 |
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border-radius: 5px;
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| 84 |
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}
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| 85 |
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.content-section {
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| 86 |
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flex: 1;
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| 87 |
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min-width: 300px;
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| 88 |
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background: white;
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| 89 |
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padding: 15px;
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| 90 |
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border-radius: 5px;
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| 91 |
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box-shadow: 0 1px 3px rgba(0,0,0,0.1);
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| 92 |
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}
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| 93 |
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.section-title {
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| 94 |
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font-weight: bold;
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| 95 |
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color: #444;
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| 96 |
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margin-bottom: 10px;
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| 97 |
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padding-bottom: 5px;
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| 98 |
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border-bottom: 2px solid #eee;
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| 99 |
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}
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| 100 |
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.section-content {
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| 101 |
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white-space: pre-wrap;
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| 102 |
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line-height: 1.5;
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| 103 |
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}
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| 104 |
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.content-key {
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| 105 |
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font-weight: bold;
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| 106 |
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color: #444;
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| 107 |
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padding-right: 10px;
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| 108 |
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}
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| 109 |
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.content-value {
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| 110 |
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display: block;
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| 111 |
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padding-left: 0;
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| 112 |
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margin-top: 5px;
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| 113 |
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}
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| 114 |
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""") as interface:
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| 115 |
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gr.Markdown("# JSON Data Viewer")
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| 116 |
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| 117 |
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with gr.Row():
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| 118 |
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file_input = gr.File(label="Upload JSON file")
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| 119 |
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| 120 |
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with gr.Row():
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| 121 |
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preview_table = gr.Dataframe(
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| 122 |
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value=pd.DataFrame(),
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| 123 |
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label="Data Preview",
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| 124 |
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interactive=True,
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| 125 |
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wrap=True,
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| 126 |
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row_count=(5, "dynamic")
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| 127 |
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)
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| 128 |
+
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| 129 |
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with gr.Row():
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| 130 |
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full_content = gr.HTML(
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| 131 |
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label="Full Content",
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| 132 |
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elem_id="full_content"
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| 133 |
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)
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| 134 |
+
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| 135 |
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def update_table(file):
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| 136 |
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preview, _ = viewer.load_json(file)
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| 137 |
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if isinstance(preview, pd.DataFrame):
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| 138 |
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return preview
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| 139 |
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return pd.DataFrame()
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| 140 |
+
|
| 141 |
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def show_full_content(evt: gr.SelectData):
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| 142 |
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if viewer.df is None:
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| 143 |
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return "Please load a JSON file first"
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| 144 |
+
try:
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| 145 |
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row = viewer.df.iloc[evt.index[0]]
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| 146 |
+
row_dict = row.to_dict()
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| 147 |
+
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| 148 |
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sections = {
|
| 149 |
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'Video Info': ['vid', 'video_url', 'title', 'category', 'extended_description'],
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| 150 |
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'Content': ['description'],
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| 151 |
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'Additional Info': ['vqa']
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| 152 |
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}
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| 153 |
+
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| 154 |
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formatted_sections = []
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| 155 |
+
for section_title, keys in sections.items():
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| 156 |
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section_content = []
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| 157 |
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for key in keys:
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| 158 |
+
if key in row_dict:
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| 159 |
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value = row_dict[key]
|
| 160 |
+
if isinstance(value, str):
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| 161 |
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value = value.replace('\\n', '<br>')
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| 162 |
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value = value.replace('\\"', '"')
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| 163 |
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value = value.replace('<br>', '<br> ')
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| 164 |
+
section_content.append(
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| 165 |
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f'<span class="content-key">{key}:</span>'
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| 166 |
+
f'<span class="content-value">{value}</span>'
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| 167 |
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)
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| 168 |
+
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| 169 |
+
if section_content:
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| 170 |
+
formatted_section = f"""
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| 171 |
+
<div class="content-section">
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| 172 |
+
<div class="section-title">{section_title}</div>
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| 173 |
+
<div class="section-content">
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| 174 |
+
{'<br>'.join(section_content)}
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| 175 |
+
</div>
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| 176 |
+
</div>
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| 177 |
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"""
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| 178 |
+
formatted_sections.append(formatted_section)
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| 179 |
+
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| 180 |
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formatted_data = f"""
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| 181 |
+
<div class="content-container">
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| 182 |
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{''.join(formatted_sections)}
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| 183 |
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</div>
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| 184 |
+
"""
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| 185 |
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return formatted_data
|
| 186 |
+
except Exception as e:
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| 187 |
+
return f"Error displaying row: {str(e)}"
|
| 188 |
+
|
| 189 |
+
file_input.change(
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| 190 |
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fn=update_table,
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| 191 |
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inputs=[file_input],
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| 192 |
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outputs=[preview_table]
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| 193 |
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)
|
| 194 |
+
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| 195 |
+
preview_table.select(
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| 196 |
+
fn=show_full_content,
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| 197 |
+
inputs=None,
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| 198 |
+
outputs=[full_content]
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| 199 |
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)
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| 200 |
+
|
| 201 |
+
return interface
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| 202 |
+
|
| 203 |
+
if __name__ == "__main__":
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| 204 |
+
demo = create_interface()
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| 205 |
+
demo.launch(share=True)
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