Spaces:
Paused
Paused
Update app.py
Browse files
app.py
CHANGED
|
@@ -163,7 +163,7 @@ def predict_single(payload, linker, peptide):
|
|
| 163 |
keras.backend.clear_session()
|
| 164 |
|
| 165 |
label = "Active PDC ✅" if score > 0.5 else "Inactive ❌"
|
| 166 |
-
return f"{label}\nConfidence: {score:.
|
| 167 |
|
| 168 |
def predict_batch(file_obj, progress=gr.Progress()):
|
| 169 |
if file_obj is None: return None, None
|
|
@@ -208,7 +208,7 @@ def predict_batch(file_obj, progress=gr.Progress()):
|
|
| 208 |
conf = score
|
| 209 |
|
| 210 |
# UI UPDATE: Put Prediction and Score FIRST
|
| 211 |
-
results.append([pred, f"{conf:.
|
| 212 |
|
| 213 |
# 5. Cleanup
|
| 214 |
keras.backend.clear_session()
|
|
|
|
| 163 |
keras.backend.clear_session()
|
| 164 |
|
| 165 |
label = "Active PDC ✅" if score > 0.5 else "Inactive ❌"
|
| 166 |
+
return f"{label}\nConfidence: {score:.3%}"
|
| 167 |
|
| 168 |
def predict_batch(file_obj, progress=gr.Progress()):
|
| 169 |
if file_obj is None: return None, None
|
|
|
|
| 208 |
conf = score
|
| 209 |
|
| 210 |
# UI UPDATE: Put Prediction and Score FIRST
|
| 211 |
+
results.append([pred, f"{conf:.3%}", p_smiles, l_smiles, peptide])
|
| 212 |
|
| 213 |
# 5. Cleanup
|
| 214 |
keras.backend.clear_session()
|