prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Dear friend,please tell me why I can't run it from cog example.
  I  am a newbie.
  I run the code from cog examples.
  I can  run "cog run python",but I can't run following command.
  input:
  sudo cog predict -i @input.jpg
  resluts:
  ![image](https://user-images.githubusercontent.com/83233614/158789282-e6641fd4-79da-40ac-b438-4b58bf1f14d7.png)
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `python/cog/json.py`
  Content:
  ```
  1 from enum import Enum
  2 import io
  3 from typing import Any
  4 
  5 from pydantic import BaseModel
  6 
  7 from .types import Path
  8 
  9 try:
  10     import numpy as np  # type: ignore
  11 
  12     has_numpy = True
  13 except ImportError:
  14     has_numpy = False
  15 
  16 
  17 def encode_json(obj: Any, upload_file) -> Any:
  18     """
  19     Returns a JSON-compatible version of the object. It will encode any Pydantic models and custom types.
  20 
  21     When a file is encountered, it will be passed to upload_file. Any paths will be opened and converted to files.
  22 
  23     Somewhat based on FastAPI's jsonable_encoder().
  24     """
  25     if isinstance(obj, BaseModel):
  26         return encode_json(obj.dict(exclude_unset=True), upload_file)
  27     if isinstance(obj, dict):
  28         return {key: encode_json(value, upload_file) for key, value in obj.items()}
  29     if isinstance(obj, list):
  30         return [encode_json(value, upload_file) for value in obj]
  31     if isinstance(obj, Enum):
  32         return obj.value
  33     if isinstance(obj, Path):
  34         with obj.open("rb") as f:
  35             return upload_file(f)
  36     if isinstance(obj, io.IOBase):
  37         return upload_file(obj)
  38     if has_numpy:
  39         if isinstance(obj, np.integer):
  40             return int(obj)
  41         if isinstance(obj, np.floating):
  42             return float(obj)
  43         if isinstance(obj, np.ndarray):
  44             return obj.tolist()
  45     return obj
  46
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/python/cog/json.py b/python/cog/json.py
  --- a/python/cog/json.py
  +++ b/python/cog/json.py
  @@ -1,5 +1,6 @@
   from enum import Enum
   import io
  +from types import GeneratorType
   from typing import Any
   
   from pydantic import BaseModel
  @@ -26,7 +27,7 @@
           return encode_json(obj.dict(exclude_unset=True), upload_file)
       if isinstance(obj, dict):
           return {key: encode_json(value, upload_file) for key, value in obj.items()}
  -    if isinstance(obj, list):
  +    if isinstance(obj, (list, set, frozenset, GeneratorType, tuple)):
           return [encode_json(value, upload_file) for value in obj]
       if isinstance(obj, Enum):
           return obj.value
  
verification_info: {"golden_diff": "diff --git a/python/cog/json.py b/python/cog/json.py\n--- a/python/cog/json.py\n+++ b/python/cog/json.py\n@@ -1,5 +1,6 @@\n from enum import Enum\n import io\n+from types import GeneratorType\n from typing import Any\n \n from pydantic import BaseModel\n@@ -26,7 +27,7 @@\n         return encode_json(obj.dict(exclude_unset=True), upload_file)\n     if isinstance(obj, dict):\n         return {key: encode_json(value, upload_file) for key, value in obj.items()}\n-    if isinstance(obj, list):\n+    if isinstance(obj, (list, set, frozenset, GeneratorType, tuple)):\n         return [encode_json(value, upload_file) for value in obj]\n     if isinstance(obj, Enum):\n         return obj.value\n", "issue": "Dear friend,please tell me why I can't run it from cog example.\nI  am a newbie.\r\nI run the code from cog examples.\r\nI can  run \"cog run python\",but I can't run following command.\r\ninput:\r\nsudo cog predict -i @input.jpg\r\nresluts:\r\n![image](https://user-images.githubusercontent.com/83233614/158789282-e6641fd4-79da-40ac-b438-4b58bf1f14d7.png)\r\n\n", "before_files": [{"content": "from enum import Enum\nimport io\nfrom typing import Any\n\nfrom pydantic import BaseModel\n\nfrom .types import Path\n\ntry:\n    import numpy as np  # type: ignore\n\n    has_numpy = True\nexcept ImportError:\n    has_numpy = False\n\n\ndef encode_json(obj: Any, upload_file) -> Any:\n    \"\"\"\n    Returns a JSON-compatible version of the object. It will encode any Pydantic models and custom types.\n\n    When a file is encountered, it will be passed to upload_file. Any paths will be opened and converted to files.\n\n    Somewhat based on FastAPI's jsonable_encoder().\n    \"\"\"\n    if isinstance(obj, BaseModel):\n        return encode_json(obj.dict(exclude_unset=True), upload_file)\n    if isinstance(obj, dict):\n        return {key: encode_json(value, upload_file) for key, value in obj.items()}\n    if isinstance(obj, list):\n        return [encode_json(value, upload_file) for value in obj]\n    if isinstance(obj, Enum):\n        return obj.value\n    if isinstance(obj, Path):\n        with obj.open(\"rb\") as f:\n            return upload_file(f)\n    if isinstance(obj, io.IOBase):\n        return upload_file(obj)\n    if has_numpy:\n        if isinstance(obj, np.integer):\n            return int(obj)\n        if isinstance(obj, np.floating):\n            return float(obj)\n        if isinstance(obj, np.ndarray):\n            return obj.tolist()\n    return obj\n", "path": "python/cog/json.py"}], "after_files": [{"content": "from enum import Enum\nimport io\nfrom types import GeneratorType\nfrom typing import Any\n\nfrom pydantic import BaseModel\n\nfrom .types import Path\n\ntry:\n    import numpy as np  # type: ignore\n\n    has_numpy = True\nexcept ImportError:\n    has_numpy = False\n\n\ndef encode_json(obj: Any, upload_file) -> Any:\n    \"\"\"\n    Returns a JSON-compatible version of the object. It will encode any Pydantic models and custom types.\n\n    When a file is encountered, it will be passed to upload_file. Any paths will be opened and converted to files.\n\n    Somewhat based on FastAPI's jsonable_encoder().\n    \"\"\"\n    if isinstance(obj, BaseModel):\n        return encode_json(obj.dict(exclude_unset=True), upload_file)\n    if isinstance(obj, dict):\n        return {key: encode_json(value, upload_file) for key, value in obj.items()}\n    if isinstance(obj, (list, set, frozenset, GeneratorType, tuple)):\n        return [encode_json(value, upload_file) for value in obj]\n    if isinstance(obj, Enum):\n        return obj.value\n    if isinstance(obj, Path):\n        with obj.open(\"rb\") as f:\n            return upload_file(f)\n    if isinstance(obj, io.IOBase):\n        return upload_file(obj)\n    if has_numpy:\n        if isinstance(obj, np.integer):\n            return int(obj)\n        if isinstance(obj, np.floating):\n            return float(obj)\n        if isinstance(obj, np.ndarray):\n            return obj.tolist()\n    return obj\n", "path": "python/cog/json.py"}]}