Handle async funcs within sync scopes

gradio.egg-info/PKG-INFO

@@ -13,15 +13,36 @@ Description-Content-Type: text/markdown
 License-File: LICENSE
 
 <!-- DO NOT EDIT THIS FILE DIRECTLY. INSTEAD PLEASE EDIT: "readme_template.md" or 
-"guides/getting_started.md", AND THEN RUN: "python render_readme.py" --> 
-
-[![CircleCI](https://circleci.com/gh/gradio-app/gradio.svg?style=svg)](https://circleci.com/gh/gradio-app/gradio)  [![PyPI version](https://badge.fury.io/py/gradio.svg)](https://badge.fury.io/py/gradio)  [![codecov](https://codecov.io/gh/gradio-app/gradio/branch/master/graph/badge.svg?token=NNVPX9KEGS)](https://codecov.io/gh/gradio-app/gradio) [![PyPI - Downloads](https://img.shields.io/pypi/dm/gradio)](https://pypi.org/project/gradio/) [![Twitter Follow](https://img.shields.io/twitter/follow/gradio.svg?style=social&label=Follow)](https://twitter.com/gradio)
-
-#  Gradio: Build Machine Learning Web Apps — in Python
-
-Gradio (pronounced GRAY-dee-oh) is an open-source Python library that is used to build machine learning and data science demos and web applications. 
-
-With Gradio, you can quickly create a beautiful user interface around your machine learning models or data science workflow and let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, and interacting with your demo, all through the browser.  
+    "guides/getting_started.md", AND THEN RUN: "python render_readme.py" --> 
+<p align="center">
+  <a href="https://gradio.app"><img src="website/homepage/src/assets/img/logos/gradio.svg" alt="gradio" width=300></a> 
+</p>
+<p align="center">
+    <em>Build & share delightful machine learning apps easily</em>
+<p align="center">
+<a href="https://circleci.com/gh/gradio-app/gradio" target="_blank">
+    <img src="https://circleci.com/gh/gradio-app/gradio.svg?style=svg" alt="circleci">
+</a>
+<a href="https://badge.fury.io/py/gradio" target="_blank">
+    <img src="https://badge.fury.io/py/gradio.svg" alt="pypi">
+</a>
+<a href="https://codecov.io/gh/gradio-app/gradio/branch/master/graph/badge.svg?token=NNVPX9KEGS" target="_blank">
+    <img src="https://codecov.io/gh/gradio-app/gradio/branch/master/graph/badge.svg?token=NNVPX9KEGS" alt="Codecov">
+</a>
+<a href="https://pypi.org/project/gradio/" target="_blank">
+    <img src="https://img.shields.io/pypi/dm/gradio" alt="pypi">
+</a>
+<a href="https://twitter.com/gradio " target="_blank">
+    <img src="https://img.shields.io/twitter/follow/gradio.svg?style=social&label=Follow" alt="twitter">
+</a>
+</p>
+
+# Gradio: Build Machine Learning Web Apps — in Python
+
+Gradio is an open-source Python library that is used to build machine learning and data science demos and web applications.
+
+With Gradio, you can quickly create a beautiful user interface around your machine learning models or data science workflow and let people "try it out" by dragging-and-dropping in their own images,
+pasting text, recording their own voice, and interacting with your demo, all through the browser.
 
 ![Interface montage](website/homepage/src/assets/img/meta-image-2.png)
 
@@ -35,8 +56,7 @@ Gradio is useful for:
 
 **You can find an interactive version of the following Getting Started at [https://gradio.app/getting_started](https://gradio.app/getting_started).**
 
-
-## Quickstart
+ ## Quickstart
 
 **Prerequisite**: Gradio requires Python 3.7 or above, that's it! 
 
@@ -54,7 +74,7 @@ Gradio allows you to **build demos and share them, all in Python.** And usually
 
 To get Gradio running with a simple "Hello, World" example, follow these three steps:
 
-<span>1.</span> Install Gradio from pip.
+<span>1.</span> Install Gradio from pip. Note, the minimal supported Python version is 3.7.
 
 ```bash
 pip install gradio
@@ -88,7 +108,7 @@ The core `Interface` class is initialized with three required parameters:
 -   `inputs`: which component(s) to use for the input, e.g. `"text"` or `"image"` or `"audio"` 
 -   `outputs`: which component(s) to use for the output, e.g. `"text"` or `"image"` `"label"`
 
-Gradio includes more than 20 different components, most of which can be used as inputs or outputs. ([See docs for complete list](/docs))
+Gradio includes more than 20 different components, most of which can be used as inputs or outputs. ([See docs for complete list](https://gradio.app/docs))
 
 ### Components Attributes 💻
 
@@ -241,7 +261,6 @@ demo = gr.Interface(
     ],
     title="test calculator",
     description="heres a sample toy calculator. enjoy!",
-    flagging_options=["this", "or", "that"],
 )
 
 demo.launch()
@@ -398,25 +417,33 @@ Now that you're familiar with the basics of Gradio, here are some good next step
 * Gradio offers two APIs to users: **Interface**, a high level abstraction for quickly creating demos, and **Blocks**, a more flexible API for designing web apps with more controlled layouts and data flows. [Read more about Blocks here](https://gradio.app/introduction_to_blocks/) 🧱
 * If you'd like to stick with **Interface**, but want to add more advanced features to your demo (like authentication, interpretation, or state), check out our guide on [advanced features with the Interface class](https://gradio.app/advanced_interface_features/) 💪
 * If you just want to explore what demos other people have built with Gradio and see the underlying Python code, [browse public Hugging Face Spaces](https://hf.space/), and be inspired 🤗
+
 
+## System Requirements:
 
+- Python 3.7+
 
-##  System Requirements:
+## Open Source Stack
 
-Gradio requires Python `3.7+` and has been tested on the latest versions of Windows, MacOS, and various common Linux distributions (e.g. Ubuntu). For Python package requirements, please see the `setup.py` file.
+Gradio is built with many wonderful open-source libraries, please support them as well!
+<p>
+<a href="https://hf.co/"><img src="website/homepage/src/assets/img/logos/huggingface_mini.svg" alt="huggingface" height=40></a>
+<a href="https://www.python.org/"><img src="website/homepage/src/assets/img/logos/python.svg" alt="python" height=40></a>
+<a href="https://fastapi.tiangolo.com/"><img src="website/homepage/src/assets/img/logos/fastapi.svg" alt="fastapi" height=40></a>
+<a href="https://github.com/encode/"><img src="website/homepage/src/assets/img/logos/encode.svg" alt="encode" height=40></a>
+<a href="https://svelte.dev"><img src="website/homepage/src/assets/img/logos/svelte.svg" alt="svelte" height=40></a>
+<a href="https://vitejs.dev/"><img src="website/homepage/src/assets/img/logos/vite.svg" alt="vite" height=40></a>
+<a href="https://pnpm.io/"><img src="website/homepage/src/assets/img/logos/pnpm.svg" alt="pnpm" height=40></a>
+<a href="https://tailwindcss.com/"><img src="website/homepage/src/assets/img/logos/tailwind.svg" alt="tailwind" height=40></a>
+</p>
 
-##  Contributing:
-
-If you would like to contribute and your contribution is small, you can directly open a pull request (PR). If you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. Please see our [contributing guidelines](https://github.com/gradio-app/gradio/blob/master/CONTRIBUTING.md) for more info.
-
-##  License:
+## License:
 
 Gradio is licensed under the Apache License 2.0
 
+## See more:
 
-##  See more:
-
-You can find many more examples as well as more info on usage on our website: www.gradio.app
+You can find many more examples as well as more info on usage on our website: https://gradio.app
 
 See, also, the accompanying paper: ["Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild"](https://arxiv.org/pdf/1906.02569.pdf), *ICML HILL 2019*, and please use the citation below.
 
@@ -428,4 +455,3 @@ journal={arXiv preprint arXiv:1906.02569},
 year={2019}
 }
 ```
-

gradio.egg-info/requires.txt

@@ -15,3 +15,4 @@ pydub
 requests
 uvicorn
 Jinja2
+fsspec

gradio/blocks.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import asyncio
 import copy
 import getpass
 import inspect
@@ -375,9 +376,7 @@ def __call__(self, *params, fn_index=0):
         processed_input = self.preprocess_data(fn_index, serialized_params, None)
 
         if inspect.iscoroutinefunction(block_fn.fn):
-            raise ValueError(
-                "Cannot call Blocks object as a function if the function is a coroutine"
-            )
+            predictions = utils.synchronize_async(block_fn.fn, *processed_input)
         else:
             predictions = block_fn.fn(*processed_input)
 
@@ -745,7 +744,7 @@ def launch(
             self.enable_queue = True
         else:
             self.enable_queue = enable_queue or False
-        utils.synchronize_async(self.create_limiter, max_threads)
+        utils.run_coro_in_background(self.create_limiter, max_threads)
         self.config = self.get_config_file()
         self.share = share
         self.encrypt = encrypt

gradio/utils.py

@@ -16,6 +16,7 @@
 
 import aiohttp
 import analytics
+import fsspec.asyn
 import pkg_resources
 import requests
 
@@ -312,7 +313,36 @@ def component_or_layout_class(cls_name: str) -> Component | BlockContext:
     raise ValueError(f"No such component or layout: {cls_name}")
 
 
-def synchronize_async(func: Callable, *args: object, callback_func: Callable = None):
+def synchronize_async(func: Callable, *args, **kwargs):
+    """
+    Runs async functions in sync scopes.
+
+    Example:
+        if inspect.iscoroutinefunction(block_fn.fn):
+            predictions = utils.synchronize_async(block_fn.fn, *processed_input)
+
+    Args:
+        func:
+        *args:
+        **kwargs:
+    """
+    return fsspec.asyn.sync(fsspec.asyn.get_loop(), func, *args, **kwargs)
+
+
+def run_coro_in_background(func: Callable, *args, **kwargs):
+    """
+    Runs coroutines in background.
+
+    Example:
+        utils.run_coro_in_background(fn, *args, **kwargs)
+
+    Args:
+        func:
+        *args:
+        **kwargs:
+
+    Returns:
+
+    """
     event_loop = asyncio.get_event_loop()
-    task = event_loop.create_task(func(*args))
-    task.add_done_callback(callback_func)
+    _ = event_loop.create_task(func(*args, **kwargs))

setup.py

@@ -39,7 +39,8 @@
         "pydub",
         "requests",
         "uvicorn",
-        "Jinja2"
+        "Jinja2",
+        "fsspec",
     ],
     entry_points={
         'console_scripts': ['gradio=gradio.reload:run_in_reload_mode']