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authorNavan Chauhan <navanchauhan@gmail.com>2020-08-04 21:39:26 +0530
committerNavan Chauhan <navanchauhan@gmail.com>2020-08-04 21:39:26 +0530
commit3340d0f9f27d17e36f028821b73af58fe79e3329 (patch)
tree3ca3e33f395ea18899cb7f11a53e877d5e7c7f2b /app
parentde479dd42130d67fb15f32beb99bec29b356792a (diff)
added tf import strategy
Diffstat (limited to 'app')
-rw-r--r--app/views.py17
1 files changed, 11 insertions, 6 deletions
diff --git a/app/views.py b/app/views.py
index 6af1ee6..976bd5e 100644
--- a/app/views.py
+++ b/app/views.py
@@ -113,6 +113,13 @@ def wtform():
tfWorking = -1
try:
+ import tensorflow as tf
+ tfWorking = 1
+except:
+ print("Could not load tensorflow model :/")
+ tfWorking = 0
+
+if tfWorking == 1:
from lstm_chem.utils.config import process_config
from lstm_chem.model import LSTMChem
from lstm_chem.generator import LSTMChemGenerator
@@ -121,11 +128,6 @@ try:
gen = LSTMChemGenerator(modeler)
print("Testing Model")
gen.sample(1)
- tfWorking = 1
-except:
- print("Could not load tensorflow model :/")
- tfWorking = 0
-
@app.route('/Generate', methods=['GET','POST'])
def generate():
@@ -140,7 +142,10 @@ def generate():
if request.method == 'POST' and form.validate_on_submit():
result = gen.sample(form.n.data)
- return render_template('generate.html',expName=j["exp_name"],epochs=j["num_epochs"],optimizer=j["optimizer"].capitalize(), form=form,result=result)
+ if tfWorking == 0:
+ flash("Failed to initialise the model!","danger")
+ else:
+ return render_template('generate.html',expName=j["exp_name"],epochs=j["num_epochs"],optimizer=j["optimizer"].capitalize(), form=form,result=result)
return render_template('generate.html',expName=j["exp_name"],epochs=j["num_epochs"],optimizer=j["optimizer"].capitalize(), form=form)