in dlvm/nvidia/webapp/server.py [0:0]
def upload_file():
logging.info(request.files)
if 'image' not in request.files:
logging.error('Error. No file part')
return redirect(request.url)
file = request.files['image']
if not file.filename:
logging.error('Not selected file')
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
user_image = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(user_image)
# Call API for prediction.
predict_request = conversion_helper(MODEL_TYPE, filename)
try:
if predict_request:
response = model_predict(predict_request)
if response:
prediction_class = response.get('predictions')[0].get('classes') - 1
prediction_probabilities = response.get('predictions')[0].get(
'probabilities')
if prediction_class:
return render_template('index.html', init=True, user_image=filename,
prediction=classes[prediction_class])
else:
return render_template('index.html', init=True,
prediction=None)
except Exception as e:
logging.exception('Not a valid request: {} '.format(e))
return redirect(request.url)