devjas1 commited on
Commit
e2ae453
Β·
1 Parent(s): 529bbd6

(UI/UX): update sidebar content for clarity and add links to resources

Browse files
Files changed (1) hide show
  1. app.py +29 -22
app.py CHANGED
@@ -5,11 +5,11 @@ This is an adapted version of the Streamlit app optimized for Hugging Face Space
5
  It maintains all the functionality of the original app while being self-contained and cloud-ready.
6
  """
7
 
8
- BUILD_LABEL = "proof-2025-08-24-01"
9
- import os, streamlit as st, sys
10
- st.sidebar.caption(
11
- f"Build: {BUILD_LABEL} | __file__: {__file__} | cwd: {os.getcwd()} | py: {sys.version.split()[0]}"
12
- )
13
 
14
  import os
15
  import sys
@@ -329,29 +329,36 @@ def main():
329
  # Sidebar
330
  with st.sidebar:
331
  st.header("ℹ️ About This App")
332
- st.markdown("""
333
- **AIRE 2025 Internship Project**
334
  AI-Driven Polymer Aging Prediction and Classification
335
-
336
  🎯 **Purpose**: Classify polymer degradation using AI
337
- πŸ“Š **Input**: Raman spectroscopy data
338
  🧠 **Models**: CNN architectures for binary classification
339
-
340
- **Team**:
341
- - **Mentor**: Dr. Sanmukh Kuppannagari
342
- - **Mentor**: Dr. Metin Karailyan
343
- - **Author**: Jaser Hasan
344
-
345
- πŸ”— [GitHub Repository](https://github.com/KLab-AI3/ml-polymer-recycling)
346
-
347
- πŸ“ **Model Credit**: Baseline model inspired by *Figure 2 CNN* from:
348
 
349
- > Neo, E.R.K., Low, J.S.C., Goodship, V., Debattista, K. (2023).
350
- > *Deep learning for chemometric analysis of plastic spectral data from infrared and Raman databases*.
351
- > *Resources, Conservation & Recycling*, **188**, 106718.
352
 
353
- [https://doi.org/10.1016/j.resconrec.2022.106718](https://doi.org/10.1016/j.resconrec.2022.106718)
 
 
 
 
 
 
 
 
 
354
 
 
 
 
 
 
 
 
 
355
  """)
356
 
357
  st.markdown("---")
 
5
  It maintains all the functionality of the original app while being self-contained and cloud-ready.
6
  """
7
 
8
+ # BUILD_LABEL = "proof-2025-08-24-01"
9
+ # import os, streamlit as st, sys
10
+ # st.sidebar.caption(
11
+ # f"Build: {BUILD_LABEL} | __file__: {__file__} | cwd: {os.getcwd()} | py: {sys.version.split()[0]}"
12
+ # )
13
 
14
  import os
15
  import sys
 
329
  # Sidebar
330
  with st.sidebar:
331
  st.header("ℹ️ About This App")
332
+ st.sidebar.markdown("""
 
333
  AI-Driven Polymer Aging Prediction and Classification
334
+
335
  🎯 **Purpose**: Classify polymer degradation using AI
336
+ πŸ“Š **Input**: Raman spectroscopy `.txt` files
337
  🧠 **Models**: CNN architectures for binary classification
338
+ πŸ’Ύ **Current**: Figure2CNN (baseline)
339
+ πŸ“ˆ **Next**: More trained CNNs in evaluation pipeline
 
 
 
 
 
 
 
340
 
341
+ ---
 
 
342
 
343
+ **Team**
344
+ πŸ‘¨β€πŸ« Dr. Sanmukh Kuppannagari (Mentor)
345
+ πŸ‘¨β€πŸ« Dr. Metin Karailyan (Mentor)
346
+ πŸ‘¨β€πŸ’» Jaser Hasan (Author)
347
+
348
+ ---
349
+
350
+ **Links**
351
+ πŸ”— [Live HF Space](https://huggingface.co/spaces/dev-jas/polymer-aging-ml)
352
+ πŸ“‚ [GitHub Repository](https://github.com/KLab-AI3/ml-polymer-recycling)
353
 
354
+ ---
355
+
356
+ **Model Credit**
357
+ Baseline model inspired by *Figure 2 CNN* from:
358
+ Neo, E.R.K., Low, J.S.C., Goodship, V., Debattista, K. (2023).
359
+ *Deep learning for chemometric analysis of plastic spectral data from infrared and Raman databases*.
360
+ _Resources, Conservation & Recycling_, **188**, 106718.
361
+ [https://doi.org/10.1016/j.resconrec.2022.106718](https://doi.org/10.1016/j.resconrec.2022.106718)
362
  """)
363
 
364
  st.markdown("---")