fix default variable value (#1381)

* fix default variable value

* format

demo/blocks_simple_squares/run.py

@@ -3,15 +3,23 @@ import gradio as gr
 demo = gr.Blocks(css="#btn {color: red}")
 
 with demo:
+    default_json = {"a": "a"}
+
+
     num = gr.Variable(value=0)
     squared = gr.Number(value=0).style(text_color="blue", container_bg_color="yellow")
     btn = gr.Button("Next Square", elem_id="btn").style(rounded=False, bg_color="purple")
+    
+    stats = gr.Variable(value=default_json)
+    table = gr.JSON()
 
-    def increase(var):
+
+    def increase(var, stats_history):
         var += 1
-        return var, var**2
+        stats_history[str(var)] = var**2
+        return var, var**2, stats_history, stats_history
 
-    btn.click(increase, [num], [num, squared])
+    btn.click(increase, [num, stats], [num, squared, stats, table])
 
 if __name__ == "__main__":
     demo.launch()

gradio.egg-info/PKG-INFO

@@ -2,7 +2,7 @@ Metadata-Version: 2.1
 Name: gradio
 Version: 3.0.4
 Summary: Python library for easily interacting with trained machine learning models
-Home-page: https://github.com/gradio-app/gradio-UI
+Home-page: https://github.com/gradio-app/gradio
 Author: Abubakar Abid, Ali Abid, Ali Abdalla, Dawood Khan, Ahsen Khaliq, Pete Allen, Ömer Faruk Özdemir
 Author-email: team@gradio.app
 License: Apache License 2.0

gradio/blocks.py

@@ -350,7 +350,6 @@ class Blocks(BlockContext):
         else:
             processed_input = raw_input
         start = time.time()
-
         if inspect.iscoroutinefunction(block_fn.fn):
             predictions = await block_fn.fn(*processed_input)
         else:

gradio/components.py

@@ -1309,7 +1309,7 @@ class Image(Editable, Clearable, Changeable, Streamable, IOComponent):
 
     def __init__(
         self,
-        value: Optional[str] = None,
+        value: Optional[str | PIL.Image | np.narray] = None,
         *,
         shape: Tuple[int, int] = None,
         image_mode: str = "RGB",
@@ -1327,7 +1327,7 @@ class Image(Editable, Clearable, Changeable, Streamable, IOComponent):
     ):
         """
         Parameters:
-        value (str): A path or URL for the default value that Image component is going to take.
+        value (Optional[str | PIL.Image | np.narray]): A PIL Image, numpy array, path or URL for the default value that Image component is going to take.
         shape (Tuple[int, int]): (width, height) shape to crop and resize image to; if None, matches input image size. Pass None for either width or height to only crop and resize the other.
         image_mode (str): "RGB" if color, or "L" if black and white.
         invert_colors (bool): whether to invert the image as a preprocessing step.
@@ -1789,7 +1789,7 @@ class Audio(Changeable, Clearable, Playable, Streamable, IOComponent):
 
     def __init__(
         self,
-        value: Optional[str] = None,
+        value: Optional[str | Tuple[int, np.array]] = None,
         *,
         source: str = "upload",
         type: str = "numpy",
@@ -1803,7 +1803,7 @@ class Audio(Changeable, Clearable, Playable, Streamable, IOComponent):
     ):
         """
         Parameters:
-        value (str): A path or URL for the default value that Audio component is going to take.
+        value (str | Tuple[int, numpy.array]): A path, URL, or [sample_rate, numpy array] tuple for the default value that Audio component is going to take.
         source (str): Source of audio. "upload" creates a box where user can drop an audio file, "microphone" creates a microphone input.
         type (str): The format the audio file is converted to before being passed into the prediction function. "numpy" converts the audio to a tuple consisting of: (int sample rate, numpy.array for the data), "filepath" passes a str path to a temporary file containing the audio.
         label (Optional[str]): component name in interface.

gradio/routes.py

@@ -9,6 +9,7 @@ import posixpath
 import secrets
 import traceback
 import urllib
+from copy import deepcopy
 from pathlib import Path
 from typing import Any, List, Optional, Type
 
@@ -269,7 +270,7 @@ class App(FastAPI):
             if hasattr(body, "session_hash"):
                 if body.session_hash not in app.state_holder:
                     app.state_holder[body.session_hash] = {
-                        _id: getattr(block, "value", None)
+                        _id: deepcopy(getattr(block, "value", None))
                         for _id, block in app.blocks.blocks.items()
                         if getattr(block, "stateful", False)
                     }