张振豪 commited on
Commit ·
eb65597
1
Parent(s): fb2fb27
app
Browse files- app.py +2 -2
- func_gradio.py +2 -1
app.py
CHANGED
|
@@ -25,8 +25,8 @@ app1 = gr.Interface(
|
|
| 25 |
description='<a href="https://github.com/zzh24zzh/EPCOT_gradio" class="built-with svelte-1lyswbr" target="_blank" '
|
| 26 |
'style="font-size: 15px; font-color: black; font-weight:bold" rel="noreferrer">'
|
| 27 |
'View Documentation </a>',
|
| 28 |
-
examples=[["11","Micro-C","10500000","11000000","./examples/atac_GM12878.pickle"],
|
| 29 |
-
|
| 30 |
)
|
| 31 |
|
| 32 |
|
|
|
|
| 25 |
description='<a href="https://github.com/zzh24zzh/EPCOT_gradio" class="built-with svelte-1lyswbr" target="_blank" '
|
| 26 |
'style="font-size: 15px; font-color: black; font-weight:bold" rel="noreferrer">'
|
| 27 |
'View Documentation </a>',
|
| 28 |
+
# examples=[["11","Micro-C","10500000","11000000","./examples/atac_GM12878.pickle"],
|
| 29 |
+
# ["11","Hi-C (ChIA-PET)","7750000","8750000","./examples/atac_GM12878.pickle"]]
|
| 30 |
)
|
| 31 |
|
| 32 |
|
func_gradio.py
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
import gradio
|
| 2 |
import numpy as np
|
| 3 |
import torch,os,pickle,uuid
|
| 4 |
from util import check_region,predict_microc,predict_cage,predict_epis,filetobrowser,predict_hic,predict_epb
|
|
@@ -7,6 +7,7 @@ import matplotlib.pyplot as plt
|
|
| 7 |
from matplotlib.gridspec import GridSpec
|
| 8 |
import matplotlib
|
| 9 |
def predict_func(input_chrom,cop_type, region_start,region_end, atac_seq):
|
|
|
|
| 10 |
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
|
| 11 |
print(device)
|
| 12 |
if input_chrom == '' or cop_type == '':
|
|
|
|
| 1 |
+
import gradio,os
|
| 2 |
import numpy as np
|
| 3 |
import torch,os,pickle,uuid
|
| 4 |
from util import check_region,predict_microc,predict_cage,predict_epis,filetobrowser,predict_hic,predict_epb
|
|
|
|
| 7 |
from matplotlib.gridspec import GridSpec
|
| 8 |
import matplotlib
|
| 9 |
def predict_func(input_chrom,cop_type, region_start,region_end, atac_seq):
|
| 10 |
+
print(os.listdir(os.curdir))
|
| 11 |
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
|
| 12 |
print(device)
|
| 13 |
if input_chrom == '' or cop_type == '':
|