rmayormartins commited on
Commit
cd17fa0
1 Parent(s): e8182fc

Atualização app e do README

Browse files
Files changed (2) hide show
  1. README.md +10 -8
  2. app.py +1 -1
README.md CHANGED
@@ -13,18 +13,20 @@ license: ecl-2.0
13
  # GTM-Scope
14
 
15
  ## Description
16
- GTM-Scope is an interactive tool that allows users to upload .tm and .zip files to extract information about machine learning models trained with Google Teachable Machine.
 
 
17
 
18
  ## How to Use
19
- - Upload a .tm file to get basic model information.
20
- - Upload a corresponding .zip file to get detailed model information, including model structure and weight sizes.
21
- - You can upload both files to get a complete set of information.
22
 
23
  ## Additional Information
24
  This project was developed to facilitate the analysis and understanding of machine learning models. For suggestions or contributions, feel free to get in touch.
25
 
26
  Developed by Ramon Mayor Martins (2023)
27
- Email: rmayormartins@gmail.com
28
- Homepage: https://rmayormartins.github.io/
29
- Twitter: @rmayormartins
30
- GitHub: https://github.com/rmayormartins
 
13
  # GTM-Scope
14
 
15
  ## Description
16
+ GTM-Scope is an interactive tool that allows users to upload .tm and .zip (with json) files to extract information about machine learning models trained with Google Teachable Machine.
17
+ -The .tm file, accessible via 'Download project as a file' in Google Teachable Machine, provides basic model configurations like type, version, and training parameters.
18
+ -The .zip file, available after training a model, selecting 'TensorFlow.js', and clicking 'Download my model', offers a comprehensive view including metadata, model summary, and weight information.
19
 
20
  ## How to Use
21
+ 1. Upload a .tm file to get basic model information such as type, version, epochs, batch size, and learning rate.
22
+ 2. Upload a corresponding .zip file to get detailed model information, including TensorFlow.js metadata, model summary, and weight sizes.
23
+ 3. You can upload both files to get a complete set of information about your Google Teachable Machine model.
24
 
25
  ## Additional Information
26
  This project was developed to facilitate the analysis and understanding of machine learning models. For suggestions or contributions, feel free to get in touch.
27
 
28
  Developed by Ramon Mayor Martins (2023)
29
+ - Email: [rmayormartins@gmail.com](mailto:rmayormartins@gmail.com)
30
+ - Homepage: [https://rmayormartins.github.io/](https://rmayormartins.github.io/)
31
+ - Twitter: [@rmayormartins](https://twitter.com/rmayormartins)
32
+ - GitHub: [https://github.com/rmayormartins](https://github.com/rmayormartins)
app.py CHANGED
@@ -78,7 +78,7 @@ iface = gr.Interface(
78
  ],
79
  outputs=gr.HTML(),
80
  title="GTM-Scope",
81
- description="Upload a .tm or .zip file to extract its information."
82
  )
83
 
84
  iface.launch(debug=True)
 
78
  ],
79
  outputs=gr.HTML(),
80
  title="GTM-Scope",
81
+ description="Upload a .tm or .zip file to extract its information. A .tm or .zip (with json) file is generated by Google Teachable Machine. The .tm file provides basic model information such as type, version, training parameters, while the .zip file (with json), obtained after training and exporting the model in Tensorflow.js format, offers detailed insights including model structure, weight sizes, and other metadata."
82
  )
83
 
84
  iface.launch(debug=True)