Reload fix (#1392)

* updated PyPi version to 3.0.6

* updated PyPi version to 3.0.6b1

* updated reload.py

* updated PyPi version to 3.0.6b2

* fixed abs path issue

* updated PyPi version to 3.0.6b3

* formatting

* testing

* testing

* reload-fix

- tweaks

* reload-fix

- refornat

* reload-fix
- tweaks on comments

Co-authored-by: Ömer Faruk Özdemir <farukozderim@gmail.com>

gradio.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: gradio
-Version: 3.0.6
+Version: 3.0.6b3
 Summary: Python library for easily interacting with trained machine learning models
 Home-page: https://github.com/gradio-app/gradio
 Author: Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq, Pete Allen, Ömer Faruk Özdemir

gradio/reload.py

@@ -2,10 +2,8 @@
 
 Contains the functions that run when `gradio` is called from the command line. Specifically, allows
 
-$ gradio app.py, to run app.py in user reload mode where any changes in the app.py reload the demo.
-$ gradio-dev app.py, to run app.py in developer reload mode where any changes in the Gradio library reloads the demo.
+$ gradio app.py, to run app.py in reload mode where any changes in the app.py file or Gradio library reloads the demo.
 $ gradio app.py my_demo, to use variable names other than "demo"
-$ gradio-dev app.py my_demo, to use variable names other than "demo"
 """
 import inspect
 import os
@@ -25,13 +23,14 @@ def run_in_reload_mode():
         demo_name = args[1]
 
     original_path = args[0]
+    abs_original_path = os.path.abspath(original_path)
     path = os.path.normpath(original_path)
     path = path.replace("/", ".")
     path = path.replace("\\", ".")
-    gradio_folder = os.path.dirname(inspect.getfile(gradio))
-
     filename = os.path.splitext(path)[0]
 
+    gradio_folder = os.path.dirname(inspect.getfile(gradio))
+
     port = networking.get_first_available_port(
         networking.INITIAL_PORT_VALUE,
         networking.INITIAL_PORT_VALUE + networking.TRY_NUM_PORTS,
@@ -39,6 +38,20 @@ def run_in_reload_mode():
     print(
         f"\nLaunching in *reload mode* on: http://{networking.LOCALHOST_NAME}:{port} (Press CTRL+C to quit)\n"
     )
-    os.system(
-        f"uvicorn {filename}:{demo_name}.app --reload --port {port} --log-level warning --reload-dir {gradio_folder} --reload-dir {os.path.dirname(original_path)}"
-    )
+    command = f"uvicorn {filename}:{demo_name}.app --reload --port {port} --log-level warning "
+    message = "Watching:"
+
+    message_change_count = 0
+    if gradio_folder.strip():
+        command += f'--reload-dir "{gradio_folder}" '
+        message += f" '{gradio_folder}'"
+        message_change_count += 1
+
+    if os.path.dirname(abs_original_path).strip():
+        command += f'--reload-dir "{os.path.dirname(abs_original_path)}"'
+        if message_change_count == 1:
+            message += ","
+        message += f" '{os.path.dirname(abs_original_path)}'"
+
+    print(message + "\n")
+    os.system(command)

gradio/version.txt

@@ -1 +1 @@
-3.0.6
+3.0.6b3

setup.py

@@ -9,7 +9,7 @@ long_description = (this_directory / "README.md").read_text(encoding='utf8')
 
 setup(
     name="gradio",
-    version="3.0.6",
+    version="3.0.6b3",
     include_package_data=True,
     description="Python library for easily interacting with trained machine learning models",
     long_description=long_description,