DVC added and working webapp with inference

app/app_savta.py

@@ -11,13 +11,13 @@ PROD_MODEL_PATH = "src/models"
 TRAIN_PATH = "src/data/processed/train/bathroom"
 TEST_PATH = "src/data/processed/test/bathroom"
 
-if "DYNO" in os.environ and os.path.isdir(".dvc"):
-    print("Running DVC")
-    os.system("dvc config cache.type copy")
-    os.system("dvc config core.no_scm true")
-    if os.system(f"dvc pull {PROD_MODEL_PATH} {TRAIN_PATH } {TEST_PATH }") != 0:
-        exit("dvc pull failed")
-    os.system("rm -r .dvc")
+#if "DYNO" in os.environ and os.path.isdir(".dvc"):
+#    print("Running DVC")
+#    os.system("dvc config cache.type copy")
+#    os.system("dvc config core.no_scm true")
+#    if os.system(f"dvc pull {PROD_MODEL_PATH} {TRAIN_PATH } {TEST_PATH }") != 0:
+#        exit("dvc pull failed")
+#    os.system("rm -r .dvc")
 # .apt/usr/lib/dvc			
 
 ############## Inference ##############################
@@ -75,7 +75,7 @@ def sepia(input_img):
 def main():
 	iface = gr.Interface(sepia, gr.inputs.Image(shape=(640,480),type='numpy'), "image", title = title, description = description, article = article, examples = examples,theme ="peach",thumbnail=thumbnail)
 
-	iface.launch(favicon_path=favicon,server_name="0.0.0.0")
+	iface.launch(enable_queue=True)
 # enable_queue=True,auth=("admin", "pass1234")
 
 if __name__ == '__main__':

requirements.txt

@@ -1,5 +1,5 @@
 -f https://download.pytorch.org/whl/cpu/torch_stable.html
-dvc
+#dvc
 fastai
 torch==1.10.2+cpu
 #h5py