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| import gradio as gr | |
| import zipfile | |
| import json | |
| import pandas as pd | |
| from tensorflow.keras.models import model_from_json | |
| from collections import Counter | |
| def extract_zip_info(zip_path): | |
| with zipfile.ZipFile(zip_path, 'r') as zip_ref: | |
| file_list = zip_ref.namelist() | |
| metadata = model_json = None | |
| weights_file = None | |
| for file in file_list: | |
| if 'metadata.json' in file: | |
| with zip_ref.open(file) as f: | |
| metadata = json.load(f) | |
| elif 'model.json' in file: | |
| with zip_ref.open(file) as f: | |
| model_json = json.load(f) | |
| elif 'model.weights.bin' in file: | |
| weights_file = file | |
| if model_json: | |
| model_topology_json = model_json['modelTopology'] | |
| model_json_string = json.dumps(model_topology_json) | |
| model = model_from_json(model_json_string) | |
| summary = {'layer_counts': Counter()} | |
| extract_layer_info(model_topology_json['config']['layers'], summary) | |
| layer_counts_text = ', '.join([f'{k}: {v}' for k, v in summary['layer_counts'].items()]) | |
| else: | |
| layer_counts_text = "Modelo não encontrado" | |
| weights_info = {'size_bytes': zip_ref.getinfo(weights_file).file_size} if weights_file else {'size_bytes': 'Não encontrado'} | |
| return { | |
| 'metadata': metadata if metadata else 'Metadados não encontrados', | |
| 'model_summary': layer_counts_text, | |
| 'weights_info': weights_info | |
| } | |
| def extract_layer_info(layers, summary): | |
| for layer in layers: | |
| class_name = layer['class_name'] | |
| summary['layer_counts'][class_name] += 1 | |
| if class_name in ['Sequential', 'Model']: | |
| sub_layers = layer['config']['layers'] | |
| extract_layer_info(sub_layers, summary) | |
| def analyze_files(tm_file, zip_file): | |
| results = {} | |
| if tm_file is not None: | |
| tm_info = extract_tm_info(tm_file.name) | |
| results['tm_info'] = tm_info | |
| if zip_file is not None: | |
| zip_info = extract_zip_info(zip_file.name) | |
| results['zip_info'] = zip_info | |
| return pd.DataFrame([results]).to_html(escape=False) | |
| iface = gr.Interface( | |
| fn=analyze_files, | |
| inputs=[ | |
| gr.File(label="Upload .tm File"), | |
| gr.File(label="Upload .zip File") | |
| ], | |
| outputs=gr.HTML(), | |
| title="GTM-Scope", | |
| description="Upload a .tm or .zip file to extract its information." | |
| ) | |
| iface.launch(debug=True) | |