Upload folder using huggingface_hub

Dockerfile

@@ -0,0 +1,16 @@
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY --link --chown=1000 . .
+
+RUN mkdir -p /tmp/cache/
+RUN chmod a+rwx -R /tmp/cache/
+ENV TRANSFORMERS_CACHE=/tmp/cache/
+
+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"]

README.md

@@ -1,10 +1,10 @@
+
 ---
-title: Gradio Huggingfacehub Search
-emoji: 🔥
-colorFrom: gray
-colorTo: red
+tags: [gradio-custom-component]
+title: gradio_huggingfacehub_search V0.0.1
+colorFrom: red
+colorTo: gray
 sdk: docker
 pinned: false
+license: apache-2.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
+
+
+example = HuggingfaceHubSearch().example_value()
+
+
+def predict(hub_repo_id):
+    print("hub_repo_id", hub_repo_id)
+    return hub_repo_id
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            search_in = HuggingfaceHubSearch(
+                label="Search Huggingface Hub",
+                search_type=["model", "dataset"],
+            )
+            btn = gr.Button("Run")
+        with gr.Column():
+            search_out = HuggingfaceHubSearch(label="Search Huggingface Hub")
+    gr.on(
+        [btn.click, search_in.submit],
+        fn=predict,
+        inputs=[search_in],
+        outputs=[search_out],
+    )
+
+
+if __name__ == "__main__":
+    demo.launch()

css.css

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+html {
+	font-family: Inter;
+	font-size: 16px;
+	font-weight: 400;
+	line-height: 1.5;
+	-webkit-text-size-adjust: 100%;
+	background: #fff;
+	color: #323232;
+	-webkit-font-smoothing: antialiased;
+	-moz-osx-font-smoothing: grayscale;
+	text-rendering: optimizeLegibility;
+}
+
+:root {
+	--space: 1;
+	--vspace: calc(var(--space) * 1rem);
+	--vspace-0: calc(3 * var(--space) * 1rem);
+	--vspace-1: calc(2 * var(--space) * 1rem);
+	--vspace-2: calc(1.5 * var(--space) * 1rem);
+	--vspace-3: calc(0.5 * var(--space) * 1rem);
+}
+
+.app {
+	max-width: 748px !important;
+}
+
+.prose p {
+	margin: var(--vspace) 0;
+	line-height: var(--vspace * 2);
+	font-size: 1rem;
+}
+
+code {
+	font-family: "Inconsolata", sans-serif;
+	font-size: 16px;
+}
+
+h1,
+h1 code {
+	font-weight: 400;
+	line-height: calc(2.5 / var(--space) * var(--vspace));
+}
+
+h1 code {
+	background: none;
+	border: none;
+	letter-spacing: 0.05em;
+	padding-bottom: 5px;
+	position: relative;
+	padding: 0;
+}
+
+h2 {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h3,
+h3 code {
+	margin: var(--vspace-1) 0 var(--vspace-2) 0;
+	line-height: 1em;
+}
+
+h4,
+h5,
+h6 {
+	margin: var(--vspace-3) 0 var(--vspace-3) 0;
+	line-height: var(--vspace);
+}
+
+.bigtitle,
+h1,
+h1 code {
+	font-size: calc(8px * 4.5);
+	word-break: break-word;
+}
+
+.title,
+h2,
+h2 code {
+	font-size: calc(8px * 3.375);
+	font-weight: lighter;
+	word-break: break-word;
+	border: none;
+	background: none;
+}
+
+.subheading1,
+h3,
+h3 code {
+	font-size: calc(8px * 1.8);
+	font-weight: 600;
+	border: none;
+	background: none;
+	letter-spacing: 0.1em;
+	text-transform: uppercase;
+}
+
+h2 code {
+	padding: 0;
+	position: relative;
+	letter-spacing: 0.05em;
+}
+
+blockquote {
+	font-size: calc(8px * 1.1667);
+	font-style: italic;
+	line-height: calc(1.1667 * var(--vspace));
+	margin: var(--vspace-2) var(--vspace-2);
+}
+
+.subheading2,
+h4 {
+	font-size: calc(8px * 1.4292);
+	text-transform: uppercase;
+	font-weight: 600;
+}
+
+.subheading3,
+h5 {
+	font-size: calc(8px * 1.2917);
+	line-height: calc(1.2917 * var(--vspace));
+
+	font-weight: lighter;
+	text-transform: uppercase;
+	letter-spacing: 0.15em;
+}
+
+h6 {
+	font-size: calc(8px * 1.1667);
+	font-size: 1.1667em;
+	font-weight: normal;
+	font-style: italic;
+	font-family: "le-monde-livre-classic-byol", serif !important;
+	letter-spacing: 0px !important;
+}
+
+#start .md > *:first-child {
+	margin-top: 0;
+}
+
+h2 + h3 {
+	margin-top: 0;
+}
+
+.md hr {
+	border: none;
+	border-top: 1px solid var(--block-border-color);
+	margin: var(--vspace-2) 0 var(--vspace-2) 0;
+}
+.prose ul {
+	margin: var(--vspace-2) 0 var(--vspace-1) 0;
+}
+
+.gap {
+	gap: 0;
+}

requirements.txt

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+gradio_huggingfacehub_search==0.0.1

space.py

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+
+import gradio as gr
+from app import demo as app
+import os
+
+_docs = {'HuggingfaceHubSearch': {'description': 'Creates a very simple textbox for user to enter string input or display string output.', 'members': {'__init__': {'value': {'type': 'str | Callable | None', 'default': 'None', 'description': 'default text to provide in textbox. If callable, the function will be called whenever the app loads to set the initial value of the component.'}, 'placeholder': {'type': 'str | None', 'default': 'None', 'description': 'placeholder hint to provide behind textbox.'}, 'label': {'type': 'str | None', 'default': 'None', 'description': 'component name in interface.'}, 'every': {'type': 'float | None', 'default': 'None', 'description': "If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute."}, 'show_label': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will display label.'}, 'scale': {'type': 'int | None', 'default': 'None', 'description': 'relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.'}, 'min_width': {'type': 'int', 'default': '160', 'description': 'minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.'}, 'interactive': {'type': 'bool | None', 'default': 'None', 'description': 'if True, will be rendered as an editable textbox; if False, editing will be disabled. If not provided, this is inferred based on whether the component is used as an input or output.'}, 'visible': {'type': 'bool', 'default': 'True', 'description': 'If False, component will be hidden.'}, 'rtl': {'type': 'bool', 'default': 'False', 'description': 'If True and `type` is "text", sets the direction of the text to right-to-left (cursor appears on the left of the text). Default is False, which renders cursor on the right.'}, 'elem_id': {'type': 'str | None', 'default': 'None', 'description': 'An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'elem_classes': {'type': 'list[str] | str | None', 'default': 'None', 'description': 'An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.'}, 'render': {'type': 'bool', 'default': 'True', 'description': 'If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.'}, 'search_type': {'type': 'str | list[str] | None', 'default': 'None', 'description': 'Type of search you want to enable your quicksearch "model", "dataset","space","org", "user" or a list of these.'}, 'sumbit_on_select': {'type': 'bool', 'default': 'True', 'description': 'If true, the component will submit when the user selects a value from the dropdown.'}}, 'postprocess': {'value': {'type': 'str | None', 'description': 'Expects a {str} returned from function and sets textarea value to it.'}}, 'preprocess': {'return': {'type': 'str | None', 'description': 'Passes text value as a {str} into the function.'}, 'value': None}}, 'events': {'change': {'type': None, 'default': None, 'description': 'Triggered when the value of the HuggingfaceHubSearch changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See `.input()` for a listener that is only triggered by user input.'}, 'input': {'type': None, 'default': None, 'description': 'This listener is triggered when the user changes the value of the HuggingfaceHubSearch.'}, 'submit': {'type': None, 'default': None, 'description': 'This listener is triggered when the user presses the Enter key while the HuggingfaceHubSearch is focused.'}}}, '__meta__': {'additional_interfaces': {}, 'user_fn_refs': {'HuggingfaceHubSearch': []}}}
+
+abs_path = os.path.join(os.path.dirname(__file__), "css.css")
+
+with gr.Blocks(
+    css=abs_path,
+    theme=gr.themes.Default(
+        font_mono=[
+            gr.themes.GoogleFont("Inconsolata"),
+            "monospace",
+        ],
+    ),
+) as demo:
+    gr.Markdown(
+"""
+# `gradio_huggingfacehub_search`
+
+<div style="display: flex; gap: 7px;">
+<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange">  
+</div>
+
+Gradio component for searching Hugging Face Hub models, datasets, Spaces, and more
+""", elem_classes=["md-custom"], header_links=True)
+    app.render()
+    gr.Markdown(
+"""
+## Installation
+
+```bash
+pip install gradio_huggingfacehub_search
+```
+
+## Usage
+
+```python
+import gradio as gr
+from gradio_huggingfacehub_search import HuggingfaceHubSearch
+
+
+example = HuggingfaceHubSearch().example_value()
+
+
+def predict(hub_repo_id):
+    print("hub_repo_id", hub_repo_id)
+    return hub_repo_id
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            search_in = HuggingfaceHubSearch(
+                label="Search Huggingface Hub",
+                search_type=["model", "dataset"],
+            )
+            btn = gr.Button("Run")
+        with gr.Column():
+            search_out = HuggingfaceHubSearch(label="Search Huggingface Hub")
+    gr.on(
+        [btn.click, search_in.submit],
+        fn=predict,
+        inputs=[search_in],
+        outputs=[search_out],
+    )
+
+
+if __name__ == "__main__":
+    demo.launch()
+
+```
+""", elem_classes=["md-custom"], header_links=True)
+
+
+    gr.Markdown("""
+## `HuggingfaceHubSearch`
+
+### Initialization
+""", elem_classes=["md-custom"], header_links=True)
+
+    gr.ParamViewer(value=_docs["HuggingfaceHubSearch"]["members"]["__init__"], linkify=[])
+
+
+    gr.Markdown("### Events")
+    gr.ParamViewer(value=_docs["HuggingfaceHubSearch"]["events"], linkify=['Event'])
+
+
+
+
+    gr.Markdown("""
+
+### User function
+
+The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).
+
+- When used as an Input, the component only impacts the input signature of the user function.
+- When used as an output, the component only impacts the return signature of the user function.
+
+The code snippet below is accurate in cases where the component is used as both an input and an output.
+
+- **As input:** Is passed, passes text value as a {str} into the function.
+- **As output:** Should return, expects a {str} returned from function and sets textarea value to it.
+
+ ```python
+def predict(
+    value: str | None
+) -> str | None:
+    return value
+```
+""", elem_classes=["md-custom", "HuggingfaceHubSearch-user-fn"], header_links=True)
+
+
+
+
+    demo.load(None, js=r"""function() {
+    const refs = {};
+    const user_fn_refs = {
+          HuggingfaceHubSearch: [], };
+    requestAnimationFrame(() => {
+
+        Object.entries(user_fn_refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}-user-fn`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+
+        Object.entries(refs).forEach(([key, refs]) => {
+            if (refs.length > 0) {
+                const el = document.querySelector(`.${key}`);
+                if (!el) return;
+                refs.forEach(ref => {
+                    el.innerHTML = el.innerHTML.replace(
+                        new RegExp("\\b"+ref+"\\b", "g"),
+                        `<a href="#h-${ref.toLowerCase()}">${ref}</a>`
+                    );
+                })
+            }
+        })
+    })
+}
+
+""")
+
+demo.launch()