Upload folder using huggingface_hub

Dockerfile

@@ -13,4 +13,4 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 ENV PYTHONUNBUFFERED=1 	GRADIO_ALLOW_FLAGGING=never 	GRADIO_NUM_PORTS=1 	GRADIO_SERVER_NAME=0.0.0.0     GRADIO_SERVER_PORT=7860 	SYSTEM=spaces
 
-CMD ["python", "space.py"]
+CMD ["python", "app.py"]

README.md

@@ -2,8 +2,8 @@
 ---
 tags: [gradio-custom-component,machine learning,reproducibility,visualization,gradio,gradio-template-Audio]
 title: gradio_unifiedaudio V0.0.2
-colorFrom: green
-colorTo: yellow
+colorFrom: indigo
+colorTo: red
 sdk: docker
 pinned: false
 license: apache-2.0

app.py

@@ -8,16 +8,15 @@ example = UnifiedAudio().example_inputs()
 dir_ = Path(__file__).parent
 
 def test_mic(audio):
-    return UnifiedAudio(value=audio)
+    return UnifiedAudio(value=audio, image="demo/freeman.jpg")
+
+def clear(audio):
+    return UnifiedAudio(value=None)
 
 with gr.Blocks() as demo:
-    gr.Markdown("## Example without Image")
     mic = UnifiedAudio(sources="microphone")
     mic.change(test_mic, mic, mic)
-
-    gr.Markdown("## Example with Image")
-    mic_image = UnifiedAudio(sources="microphone", image="freeman.jpg")
-    mic_image.change(test_mic, mic_image, mic_image)
+    mic.end(clear, mic, mic)
 
 if __name__ == '__main__':
     demo.launch()

requirements.txt

@@ -1 +1 @@
-gradio_unifiedaudio==0.0.2
+gradio_unifiedaudio-0.0.2-py3-none-any.whl

src/backend/gradio_unifiedaudio/templates/component/index.js

@@ -1,4 +1,4 @@
-import { E as s, a as t, A as i, S as o, I as r } from "./index-c48f56d2.js";
+import { E as s, a as t, A as i, S as o, I as r } from "./index-fdcab7e8.js";
 export {
   s as BaseExample,
   t as BaseInteractiveAudio,

src/backend/gradio_unifiedaudio/templates/component/style.css

@@ -1 +1 @@
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var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono);text-align:center}.error.svelte-14miwb5.svelte-14miwb5{box-shadow:var(--shadow-drop);border:solid 1px var(--error-border-color);border-radius:var(--radius-full);background:var(--error-background-fill);padding-right:var(--size-4);padding-left:var(--size-4);color:var(--error-text-color);font-weight:var(--weight-semibold);font-size:var(--text-lg);line-height:var(--line-lg);font-family:var(--font)}.minimal.svelte-14miwb5 .progress-text.svelte-14miwb5{background:var(--block-background-fill)}.border.svelte-14miwb5.svelte-14miwb5{border:1px solid var(--border-color-primary)}.toast-body.svelte-solcu7{display:flex;position:relative;right:0;left:0;align-items:center;margin:var(--size-6) var(--size-4);margin:auto;border-radius:var(--container-radius);overflow:hidden;pointer-events:auto}.toast-body.error.svelte-solcu7{border:1px solid var(--color-red-700);background:var(--color-red-50)}.dark .toast-body.error.svelte-solcu7{border:1px solid var(--color-red-500);background-color:var(--color-grey-950)}.toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-700);background:var(--color-yellow-50)}.dark .toast-body.warning.svelte-solcu7{border:1px solid var(--color-yellow-500);background-color:var(--color-grey-950)}.toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-700);background:var(--color-grey-50)}.dark .toast-body.info.svelte-solcu7{border:1px solid var(--color-grey-500);background-color:var(--color-grey-950)}.toast-title.svelte-solcu7{display:flex;align-items:center;font-weight:var(--weight-bold);font-size:var(--text-lg);line-height:var(--line-sm);text-transform:capitalize}.toast-title.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-title.error.svelte-solcu7{color:var(--color-red-50)}.toast-title.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-title.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-title.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-title.info.svelte-solcu7{color:var(--color-grey-50)}.toast-close.svelte-solcu7{margin:0 var(--size-3);border-radius:var(--size-3);padding:0px var(--size-1-5);font-size:var(--size-5);line-height:var(--size-5)}.toast-close.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-close.error.svelte-solcu7{color:var(--color-red-500)}.toast-close.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-close.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-close.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-close.info.svelte-solcu7{color:var(--color-grey-500)}.toast-text.svelte-solcu7{font-size:var(--text-lg)}.toast-text.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-text.error.svelte-solcu7{color:var(--color-red-50)}.toast-text.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-text.warning.svelte-solcu7{color:var(--color-yellow-50)}.toast-text.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-text.info.svelte-solcu7{color:var(--color-grey-50)}.toast-details.svelte-solcu7{margin:var(--size-3) var(--size-3) var(--size-3) 0;width:100%}.toast-icon.svelte-solcu7{display:flex;position:absolute;position:relative;flex-shrink:0;justify-content:center;align-items:center;margin:var(--size-2);border-radius:var(--radius-full);padding:var(--size-1);padding-left:calc(var(--size-1) - 1px);width:35px;height:35px}.toast-icon.error.svelte-solcu7{color:var(--color-red-700)}.dark .toast-icon.error.svelte-solcu7{color:var(--color-red-500)}.toast-icon.warning.svelte-solcu7{color:var(--color-yellow-700)}.dark .toast-icon.warning.svelte-solcu7{color:var(--color-yellow-500)}.toast-icon.info.svelte-solcu7{color:var(--color-grey-700)}.dark .toast-icon.info.svelte-solcu7{color:var(--color-grey-500)}@keyframes svelte-solcu7-countdown{0%{transform:scaleX(1)}to{transform:scaleX(0)}}.timer.svelte-solcu7{position:absolute;bottom:0;left:0;transform-origin:0 0;animation:svelte-solcu7-countdown 10s linear forwards;width:100%;height:var(--size-1)}.timer.error.svelte-solcu7{background:var(--color-red-700)}.dark .timer.error.svelte-solcu7{background:var(--color-red-500)}.timer.warning.svelte-solcu7{background:var(--color-yellow-700)}.dark .timer.warning.svelte-solcu7{background:var(--color-yellow-500)}.timer.info.svelte-solcu7{background:var(--color-grey-700)}.dark .timer.info.svelte-solcu7{background:var(--color-grey-500)}.toast-wrap.svelte-gatr8h{display:flex;position:fixed;top:var(--size-4);right:var(--size-4);flex-direction:column;align-items:end;gap:var(--size-2);z-index:var(--layer-top);width:calc(100% - var(--size-8))}@media (--screen-sm){.toast-wrap.svelte-gatr8h{width:calc(var(--size-96) + var(--size-10))}}.gallery.svelte-1gecy8w{padding:var(--size-1) var(--size-2)}

src/backend/gradio_unifiedaudio/unifiedaudio.py

@@ -54,6 +54,7 @@ class UnifiedAudio(
         Events.pause_recording,
         Events.stop_recording,
         Events.upload,
+        Events.end,
     ]
 
     data_model = FileData

src/backend/gradio_unifiedaudio/unifiedaudio.pyi

@@ -53,6 +53,7 @@ class UnifiedAudio(
         Events.pause_recording,
         Events.stop_recording,
         Events.upload,
+        Events.end,
     ]
 
     data_model = FileData
@@ -708,6 +709,48 @@ class UnifiedAudio(
         ...
     
     def upload(self,
+        fn: Callable | None,
+        inputs: Component | Sequence[Component] | set[Component] | None = None,
+        outputs: Component | Sequence[Component] | None = None,
+        api_name: str | None | Literal[False] = None,
+        scroll_to_output: bool = False,
+        show_progress: Literal["full", "minimal", "hidden"] = "full",
+        queue: bool | None = None,
+        batch: bool = False,
+        max_batch_size: int = 4,
+        preprocess: bool = True,
+        postprocess: bool = True,
+        cancels: dict[str, Any] | list[dict[str, Any]] | None = None,
+        every: float | None = None,
+        trigger_mode: Literal["once", "multiple", "always_last"] | None = None,
+        js: str | None = None,
+        concurrency_limit: int | None | Literal["default"] = "default",
+        concurrency_id: str | None = None,
+        show_api: bool = True) -> Dependency:
+        """
+        Parameters:
+            fn: the function to call when this event is triggered. Often a machine learning model's prediction function. Each parameter of the function corresponds to one input component, and the function should return a single value or a tuple of values, with each element in the tuple corresponding to one output component.
+            inputs: List of gradio.components to use as inputs. If the function takes no inputs, this should be an empty list.
+            outputs: List of gradio.components to use as outputs. If the function returns no outputs, this should be an empty list.
+            api_name: Defines how the endpoint appears in the API docs. Can be a string, None, or False. If False, the endpoint will not be exposed in the api docs. If set to None, the endpoint will be exposed in the api docs as an unnamed endpoint, although this behavior will be changed in Gradio 4.0. If set to a string, the endpoint will be exposed in the api docs with the given name.
+            scroll_to_output: If True, will scroll to output component on completion
+            show_progress: If True, will show progress animation while pending
+            queue: If True, will place the request on the queue, if the queue has been enabled. If False, will not put this event on the queue, even if the queue has been enabled. If None, will use the queue setting of the gradio app.
+            batch: If True, then the function should process a batch of inputs, meaning that it should accept a list of input values for each parameter. The lists should be of equal length (and be up to length `max_batch_size`). The function is then *required* to return a tuple of lists (even if there is only 1 output component), with each list in the tuple corresponding to one output component.
+            max_batch_size: Maximum number of inputs to batch together if this is called from the queue (only relevant if batch=True)
+            preprocess: If False, will not run preprocessing of component data before running 'fn' (e.g. leaving it as a base64 string if this method is called with the `Image` component).
+            postprocess: If False, will not run postprocessing of component data before returning 'fn' output to the browser.
+            cancels: A list of other events to cancel when this listener is triggered. For example, setting cancels=[click_event] will cancel the click_event, where click_event is the return value of another components .click method. Functions that have not yet run (or generators that are iterating) will be cancelled, but functions that are currently running will be allowed to finish.
+            every: Run this event 'every' number of seconds while the client connection is open. Interpreted in seconds. Queue must be enabled.
+            trigger_mode: If "once" (default for all events except `.change()`) would not allow any submissions while an event is pending. If set to "multiple", unlimited submissions are allowed while pending, and "always_last" (default for `.change()` event) would allow a second submission after the pending event is complete.
+            js: Optional frontend js method to run before running 'fn'. Input arguments for js method are values of 'inputs' and 'outputs', return should be a list of values for output components.
+            concurrency_limit: If set, this is the maximum number of this event that can be running simultaneously. Can be set to None to mean no concurrency_limit (any number of this event can be running simultaneously). Set to "default" to use the default concurrency limit (defined by the `default_concurrency_limit` parameter in `Blocks.queue()`, which itself is 1 by default).
+            concurrency_id: If set, this is the id of the concurrency group. Events with the same concurrency_id will be limited by the lowest set concurrency_limit.
+            show_api: whether to show this event in the "view API" page of the Gradio app, or in the ".view_api()" method of the Gradio clients. Unlike setting api_name to False, setting show_api to False will still allow downstream apps to use this event. If fn is None, show_api will automatically be set to False.
+        """
+        ...
+    
+    def end(self,
         fn: Callable | None,
         inputs: Component | Sequence[Component] | set[Component] | None = None,
         outputs: Component | Sequence[Component] | None = None,

src/demo/app.py

@@ -8,11 +8,15 @@ example = UnifiedAudio().example_inputs()
 dir_ = Path(__file__).parent
 
 def test_mic(audio):
-    return UnifiedAudio(value=audio)
+    return UnifiedAudio(value=audio, image="demo/freeman.jpg")
+
+def clear(audio):
+    return UnifiedAudio(value=None)
 
 with gr.Blocks() as demo:
     mic = UnifiedAudio(sources="microphone")
     mic.change(test_mic, mic, mic)
+    mic.end(clear, mic, mic)
 
 if __name__ == '__main__':
     demo.launch()

src/frontend/Index.svelte

@@ -129,6 +129,7 @@
 		{waveform_settings}
 		on:share={(e) => gradio.dispatch("share", e.detail)}
 		on:error={(e) => gradio.dispatch("error", e.detail)}
+		on:end={() => gradio.dispatch("end")}
 	/>
 {:else}
 	<InteractiveAudio

src/frontend/interactive/InteractiveAudio.svelte

@@ -83,7 +83,6 @@
 		let _audio_blob = new File(blobs, "audio.wav");
 		const val = await prepare_files([_audio_blob], event === "stream");
 		value = ((await upload(val, root))?.filter(Boolean) as FileData[])[0];
-		console.log("dispatch blobbbb: ", value);
 		dispatch(event, value);
 	};
 

src/frontend/static/StaticAudio.svelte

@@ -2,7 +2,7 @@
 	import { uploadToHuggingFace } from "@gradio/utils";
 	import { Empty } from "@gradio/atoms";
 	import { ShareButton, IconButton, BlockLabel } from "@gradio/atoms";
-	import { Download, Music } from "@gradio/icons";
+	import { Music } from "@gradio/icons";
 	import type { I18nFormatter } from "@gradio/utils";
 	import AudioPlayer from "../player/AudioPlayer.svelte";
 	import { get_fetchable_url_or_file } from "@gradio/client";
@@ -34,6 +34,7 @@
 		pause: undefined;
 		end: undefined;
 		stop: undefined;
+		clear: undefined;
 	}>();
 	$: value && dispatch("change", value);
 
@@ -50,6 +51,10 @@
 			isPlaying = true;
 		}
 	}
+
+	function handle_audio_end(): void {
+		dispatch("end");
+	}
 </script>
 
 {#if value !== null}
@@ -68,10 +73,11 @@
 			/>
 		{/if}
 	</div>
-	<audio src={value.url} controls bind:this={audioElement}/>
+	<audio src={value.url} controls bind:this={audioElement} on:ended={handle_audio_end}/>
 	{#if image}
 		<div class="image-container" on:click={play_audio} role="button" tabindex="0" aria-hidden="true">
 			<img class="image-player" src={image_path} alt="test" />
+
 			{#if !isPlaying}
 				<!-- Play button -->
 				<svg class="play-icon" viewBox="0 0 24 24" style="pointer-events: none;">
@@ -84,6 +90,11 @@
 				<rect x="14" y="4" width="4" height="16" fill="#fff" />
 				</svg>
 			{/if}
+			<div class="circle-container waveform-image" style="pointer-events: none;">
+				{#each Array(15) as _, i (i)}
+					<div class={`waveform-bar ${isPlaying ? `waveform-animation-${i % 5}` : ''}`} style={`height: ${20 + (i % 5) * 10}%`}></div>
+				{/each}
+			</div>
 		</div>
 	{:else}
 		<div class="circle-container" on:click={play_audio} role="button" tabindex="0" aria-hidden="true">
@@ -167,7 +178,12 @@
 		display: flex;
 		align-items: center;
 		justify-content: center;
-  }
+  	}
+
+	.waveform-image {
+		opacity: 0.5;
+	}
+
 	.waveform-bar {
 	background-color: white;
 	width: 2%;
@@ -178,65 +194,64 @@
 	transform-origin: bottom;
 	}
 
-.waveform-animation-0 {
-  animation: waveAnimation0 1s infinite ease-in-out;
-  opacity: 1;
-}
-
-.waveform-animation-1 {
-  animation: waveAnimation1 1.5s infinite ease-in-out;
-  opacity: 1;
-}
+	.waveform-animation-0 {
+	animation: waveAnimation0 1s infinite ease-in-out;
+	opacity: 1;
+	}
 
-.waveform-animation-2 {
-  animation: waveAnimation2 3s infinite ease-in-out;
-  opacity: 1;
-}
+	.waveform-animation-1 {
+	animation: waveAnimation1 1.5s infinite ease-in-out;
+	opacity: 1;
+	}
 
+	.waveform-animation-2 {
+	animation: waveAnimation2 3s infinite ease-in-out;
+	opacity: 1;
+	}
 
-.waveform-animation-3 {
-  animation: waveAnimation3 2s infinite ease-in-out;
-  opacity: 1;
-}
 
-.waveform-animation-4 {
-  animation: waveAnimation4 2.5s infinite ease-in-out;
-  opacity: 1;
-}
+	.waveform-animation-3 {
+	animation: waveAnimation3 2s infinite ease-in-out;
+	opacity: 1;
+	}
 
-.waveform-animation-5 {
-  animation: waveAnimation5 3.5s infinite ease-in-out;
-  opacity: 1;
-}
+	.waveform-animation-4 {
+	animation: waveAnimation4 2.5s infinite ease-in-out;
+	opacity: 1;
+	}
 
+	.waveform-animation-5 {
+	animation: waveAnimation5 3.5s infinite ease-in-out;
+	opacity: 1;
+	}
 
-@keyframes waveAnimation0 {
-  0%, 100% { height: 50%; }
-  50% { height: 15%; }
-}
+	@keyframes waveAnimation0 {
+	0%, 100% { height: 50%; }
+	50% { height: 15%; }
+	}
 
-@keyframes waveAnimation1 {
-  0%, 100% { height: 45%; }
-  50% { height: 25%; }
-}
+	@keyframes waveAnimation1 {
+	0%, 100% { height: 45%; }
+	50% { height: 25%; }
+	}
 
-@keyframes waveAnimation2 {
-  0%, 100% { height: 40%; }
-  50% { height: 60%; }
-}
+	@keyframes waveAnimation2 {
+	0%, 100% { height: 40%; }
+	50% { height: 60%; }
+	}
 
-@keyframes waveAnimation3 {
-  0%, 100% { height: 70%; }
-  50% { height: 25%; }
-}
+	@keyframes waveAnimation3 {
+	0%, 100% { height: 70%; }
+	50% { height: 25%; }
+	}
 
-@keyframes waveAnimation4 {
-  0%, 100% { height: 25%; }
-  50% { height: 70%; }
-}
+	@keyframes waveAnimation4 {
+	0%, 100% { height: 25%; }
+	50% { height: 70%; }
+	}
 
-@keyframes waveAnimation5 {
-  0%, 100% { height: 60%; }
-  50% { height: 15%; }
-}
+	@keyframes waveAnimation5 {
+	0%, 100% { height: 60%; }
+	50% { height: 15%; }
+	}
 </style>

src/pyproject.toml

@@ -43,7 +43,7 @@ classifiers = [
 dev = ["build", "twine"]
 
 [tool.hatch.build]
-artifacts = ["/backend/gradio_unifiedaudio/templates", "*.pyi", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates"]
+artifacts = ["/backend/gradio_unifiedaudio/templates", "*.pyi", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates", "backend/gradio_unifiedaudio/templates"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["/backend/gradio_unifiedaudio"]