fix file not exist (#214)

* add __init__ in templates

* modify setup.py

* delete filename in app, modify main.html to get modules from back

* add single_app()

* add single_app()

* add single_app()

* add single_app()

* add single_app()

* 1.add 'print predict error',2.modify simnet_bow handle func

* 1.add config batch_size; 2.delete req_id_ for every file

* 1.add config batch_size; 2.delete req_id_ for every file

* fix ci

paddlehub/serving/app_single.py

@@ -225,6 +225,7 @@ def predict_semantic_segmentation(module, input_img, id, batch_size):
     for index in range(len(input_img)):
         # special
         item = input_img[index]
+        output_file_path = ""
         with open(results[index]["processed"], "rb") as fp:
             # special
             b_head = "data:image/png;base64"
@@ -232,6 +233,7 @@ def predict_semantic_segmentation(module, input_img, id, batch_size):
             b_body = str(b_body).replace("b'", "").replace("'", "")
             b_img = b_head + "," + b_body
             base64_list.append(b_img)
+            output_file_path = results[index]["processed"]
             results[index]["origin"] = results[index]["origin"].replace(
                 id + "_", "")
             results[index]["processed"] = results[index]["processed"].replace(
@@ -239,7 +241,8 @@ def predict_semantic_segmentation(module, input_img, id, batch_size):
             results[index].update({"base64": b_img})
             results_pack.append(results[index])
         os.remove(item)
-        os.remove(results[index]["processed"])
+        if output_file_path != "":
+            os.remove(output_file_path)
     return results_pack