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fatmacankara commited on
Commit
8a2e1bf
·
1 Parent(s): 379e692

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +38 -31
app.py CHANGED
@@ -9,35 +9,15 @@ import pdb_featureVector
9
  import alphafold_featureVector
10
  import argparse
11
  from st_aggrid import AgGrid, GridOptionsBuilder, JsCode,GridUpdateMode
 
12
  showWarningOnDirectExecution = False
13
- def download_button(object_to_download, download_filename):
14
-
15
- if isinstance(object_to_download, pd.DataFrame):
16
- object_to_download = object_to_download.to_csv(index=False)
17
 
18
- # Try JSON encode for everything else
19
- else:
20
- object_to_download = json.dumps(object_to_download)
21
- try:
22
- # some strings <-> bytes conversions necessary here
23
- b64 = base64.b64encode(object_to_download.encode()).decode()
24
-
25
- except AttributeError as e:
26
- b64 = base64.b64encode(object_to_download).decode()
27
 
28
- dl_link = f"""<html><head><title>Start Auto Download file</title><script src="http://code.jquery.com/jquery-3.2.1.min.js"></script><script>$('<a href="data:text/csv;base64,{b64}" download="{download_filename}">')[0].click()</script></head></html>"""
29
- return dl_link
30
-
31
-
32
- def download_df():
33
- components.html(
34
- download_button(selected_df, st.session_state.filename),
35
- height=0,
36
- )
37
-
38
-
39
- original_title = '<p style="font-family:Trebuchet MS; color:#FD7456; font-size: 35px; font-weight:bold; text-align:center">Welcome to ASCARIS</p>'
40
  st.markdown(original_title, unsafe_allow_html=True)
 
41
  st.write('')
42
  st.write('')
43
  st.write('')
@@ -45,9 +25,10 @@ st.write('')
45
 
46
 
47
 
48
- source = st.selectbox('Select Protein Structure Database (1: PDB, SwissModel, Modbase 2: AlphaFold)',[1,2])
49
- impute = st.selectbox('Select Imputation',[True, False])
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- input_data = st.text_input('Enter Input Variation')
 
51
 
52
 
53
 
@@ -75,6 +56,9 @@ print('Feature vector generation is in progress. \nPlease check log file for upd
75
  print('*****************************************')
76
  mode = int(mode)
77
 
 
 
 
78
  with st.spinner('In progress...This may take a while...'):
79
  try:
80
  if mode == 1:
@@ -119,11 +103,34 @@ with st.spinner('In progress...This may take a while...'):
119
  pass
120
  download_df = pd.DataFrame()
121
 
122
- with st.form("my_form", clear_on_submit=False):
123
- st.text_input("Enter filename", key="filename")
124
- submit = st.form_submit_button("Download feature vector", on_click=download_df)
 
 
 
 
 
 
 
 
125
 
 
 
126
 
 
 
127
 
128
 
 
 
 
 
 
 
 
129
 
 
 
 
 
 
9
  import alphafold_featureVector
10
  import argparse
11
  from st_aggrid import AgGrid, GridOptionsBuilder, JsCode,GridUpdateMode
12
+ import base64
13
  showWarningOnDirectExecution = False
 
 
 
 
14
 
 
 
 
 
 
 
 
 
 
15
 
16
+ original_title = '<p style="font-family:Trebuchet MS; color:#FD7456; font-size: 25px; font-weight:bold; text-align:center">ASCARIS</p>'
17
+ st.markdown(original_title, unsafe_allow_html=True)
18
+ original_title = '<p style="font-family:Trebuchet MS; color:#FD7456; font-size: 25px; font-weight:bold; text-align:center">(Annotation and StruCture-bAsed RepresentatIon of Single amino acid variations)</p>'
 
 
 
 
 
 
 
 
 
19
  st.markdown(original_title, unsafe_allow_html=True)
20
+
21
  st.write('')
22
  st.write('')
23
  st.write('')
 
25
 
26
 
27
 
28
+ source = st.selectbox('Select the protein structure resource (1: PDB-SwissModel-Modbase, 2: AlphaFold)',[1,2])
29
+ impute = st.selectbox('Imputation',[True, False])
30
+ input_data = st.text_input('Enter SAV data points (Format Provided Below)', "P13637-T-613-M, Q9Y4W6-N-432-T",
31
+ key="placeholder")
32
 
33
 
34
 
 
56
  print('*****************************************')
57
  mode = int(mode)
58
 
59
+
60
+
61
+
62
  with st.spinner('In progress...This may take a while...'):
63
  try:
64
  if mode == 1:
 
103
  pass
104
  download_df = pd.DataFrame()
105
 
106
+ def download_button(object_to_download, download_filename):
107
+
108
+ if isinstance(object_to_download, pd.DataFrame):
109
+ object_to_download = object_to_download.to_csv(index=False)
110
+
111
+ # Try JSON encode for everything else
112
+ else:
113
+ object_to_download = json.dumps(object_to_download)
114
+ try:
115
+ # some strings <-> bytes conversions necessary here
116
+ b64 = base64.b64encode(object_to_download.encode()).decode()
117
 
118
+ except AttributeError as e:
119
+ b64 = base64.b64encode(object_to_download).decode()
120
 
121
+ dl_link = f"""<html><head><title>Start Auto Download file</title><script src="http://code.jquery.com/jquery-3.2.1.min.js"></script><script>$('<a href="data:text/csv;base64,{b64}" download="{download_filename}">')[0].click()</script></head></html>"""
122
+ return dl_link
123
 
124
 
125
+ def download_df():
126
+ components.html(
127
+ download_button(selected_df, st.session_state.filename),
128
+ height=0,
129
+ )
130
+ selected_row = selected_df["selected_rows"]
131
+ selected_df = pd.DataFrame(selected_row, columns=selected_df.columns)
132
 
133
+ with st.form("my_form", clear_on_submit=False):
134
+ st.form_submit_button(label="Submit", help=None, on_click=None, args=None, kwargs=None, type="secondary", disabled=False, use_container_width=False)
135
+ st.text_input("Enter filename", key="filename")
136
+ submit = st.form_submit_button("Download", on_click=selected_df)