inference-providers/pr_1663/en/_app/immutable/nodes/8.d3ef0d4f.js

import{s as Ue,o as je,n as oe}from"../chunks/scheduler.f6b352c8.js";import{S as _e,i as ke,g as d,s as p,r as h,A as ve,h as m,f as s,c as f,j as be,u as g,x as b,k as Je,y as Ie,a as l,v as $,d as y,t as w,w as M}from"../chunks/index.6149cea3.js";import{T as Ze}from"../chunks/Tip.25311665.js";import{C as re}from"../chunks/CodeBlock.6f146ba5.js";import{I as Ce,M as ce}from"../chunks/InferenceApi.5035f7e4.js";import{H as R,E as Se}from"../chunks/index.f7afb948.js";function xe(T){let a,i='For more details about the <code>audio-classification</code> task, check out its <a href="https://huggingface.co/tasks/audio-classification" rel="nofollow">dedicated page</a>! You will find examples and related materials.';return{c(){a=d("p"),a.innerHTML=i},l(t){a=m(t,"P",{"data-svelte-h":!0}),b(a)!=="svelte-1upmpac"&&(a.innerHTML=i)},m(t,r){l(t,a,r)},p:oe,d(t){t&&s(a)}}}function Be(T){let a,i,t,r='To use the Python client, see <code>huggingface_hub</code>’s <a href="https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.audio_classification" rel="nofollow">package reference</a>.',c;return a=new re({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> requests

API_URL = <span class="hljs-string">&quot;https://router.huggingface.co/hf-inference/v1&quot;</span>
headers = {<span class="hljs-string">&quot;Authorization&quot;</span>: <span class="hljs-string">&quot;Bearer hf_***&quot;</span>}

<span class="hljs-keyword">def</span> <span class="hljs-title function_">query</span>(<span class="hljs-params">filename</span>):
	<span class="hljs-keyword">with</span> <span class="hljs-built_in">open</span>(filename, <span class="hljs-string">&quot;rb&quot;</span>) <span class="hljs-keyword">as</span> f:
		data = f.read()
	response = requests.post(API_URL, headers=headers, data=data)
	<span class="hljs-keyword">return</span> response.json()

output = query(<span class="hljs-string">&quot;sample1.flac&quot;</span>)`,wrap:!1}}),{c(){h(a.$$.fragment),i=p(),t=d("p"),t.innerHTML=r},l(o){g(a.$$.fragment,o),i=f(o),t=m(o,"P",{"data-svelte-h":!0}),b(t)!=="svelte-17qihfv"&&(t.innerHTML=r)},m(o,u){$(a,o,u),l(o,i,u),l(o,t,u),c=!0},p:oe,i(o){c||(y(a.$$.fragment,o),c=!0)},o(o){w(a.$$.fragment,o),c=!1},d(o){o&&(s(i),s(t)),M(a,o)}}}function Ge(T){let a,i;return a=new ce({props:{$$slots:{default:[Be]},$$scope:{ctx:T}}}),{c(){h(a.$$.fragment)},l(t){g(a.$$.fragment,t)},m(t,r){$(a,t,r),i=!0},p(t,r){const c={};r&2&&(c.$$scope={dirty:r,ctx:t}),a.$set(c)},i(t){i||(y(a.$$.fragment,t),i=!0)},o(t){w(a.$$.fragment,t),i=!1},d(t){M(a,t)}}}function Ee(T){let a,i,t,r='To use the JavaScript client, see <code>huggingface.js</code>’s <a href="https://huggingface.co/docs/huggingface.js/inference/classes/HfInference#audioclassification" rel="nofollow">package reference</a>.',c;return a=new re({props:{code:"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",highlighted:`<span class="hljs-keyword">async</span> <span class="hljs-keyword">function</span> <span class="hljs-title function_">query</span>(<span class="hljs-params">filename</span>) {
	<span class="hljs-keyword">const</span> data = fs.<span class="hljs-title function_">readFileSync</span>(filename);
	<span class="hljs-keyword">const</span> response = <span class="hljs-keyword">await</span> <span class="hljs-title function_">fetch</span>(
		<span class="hljs-string">&quot;https://router.huggingface.co/hf-inference/models/speechbrain/google_speech_command_xvector&quot;</span>,
		{
			<span class="hljs-attr">headers</span>: {
				<span class="hljs-title class_">Authorization</span>: <span class="hljs-string">&quot;Bearer hf_***&quot;</span>,
				<span class="hljs-string">&quot;Content-Type&quot;</span>: <span class="hljs-string">&quot;application/json&quot;</span>,
			},
			<span class="hljs-attr">method</span>: <span class="hljs-string">&quot;POST&quot;</span>,
			<span class="hljs-attr">body</span>: data,
		}
	);
	<span class="hljs-keyword">const</span> result = <span class="hljs-keyword">await</span> response.<span class="hljs-title function_">json</span>();
	<span class="hljs-keyword">return</span> result;
}

<span class="hljs-title function_">query</span>(<span class="hljs-string">&quot;sample1.flac&quot;</span>).<span class="hljs-title function_">then</span>(<span class="hljs-function">(<span class="hljs-params">response</span>) =&gt;</span> {
	<span class="hljs-variable language_">console</span>.<span class="hljs-title function_">log</span>(<span class="hljs-title class_">JSON</span>.<span class="hljs-title function_">stringify</span>(response));
});`,wrap:!1}}),{c(){h(a.$$.fragment),i=p(),t=d("p"),t.innerHTML=r},l(o){g(a.$$.fragment,o),i=f(o),t=m(o,"P",{"data-svelte-h":!0}),b(t)!=="svelte-1ihfow1"&&(t.innerHTML=r)},m(o,u){$(a,o,u),l(o,i,u),l(o,t,u),c=!0},p:oe,i(o){c||(y(a.$$.fragment,o),c=!0)},o(o){w(a.$$.fragment,o),c=!1},d(o){o&&(s(i),s(t)),M(a,o)}}}function We(T){let a,i;return a=new ce({props:{$$slots:{default:[Ee]},$$scope:{ctx:T}}}),{c(){h(a.$$.fragment)},l(t){g(a.$$.fragment,t)},m(t,r){$(a,t,r),i=!0},p(t,r){const c={};r&2&&(c.$$scope={dirty:r,ctx:t}),a.$set(c)},i(t){i||(y(a.$$.fragment,t),i=!0)},o(t){w(a.$$.fragment,t),i=!1},d(t){M(a,t)}}}function qe(T){let a,i;return a=new re({props:{code:"Y3VybCUyMGh0dHBzJTNBJTJGJTJGcm91dGVyLmh1Z2dpbmdmYWNlLmNvJTJGaGYtaW5mZXJlbmNlJTJGbW9kZWxzJTJGc3BlZWNoYnJhaW4lMkZnb29nbGVfc3BlZWNoX2NvbW1hbmRfeHZlY3RvciUyMCU1QyUwQSUwOS1YJTIwUE9TVCUyMCU1QyUwQSUwOS0tZGF0YS1iaW5hcnklMjAnJTQwc2FtcGxlMS5mbGFjJyUyMCU1QyUwQSUwOS1IJTIwJ0F1dGhvcml6YXRpb24lM0ElMjBCZWFyZXIlMjBoZl8qKion",highlighted:`curl https://router.huggingface.co/hf-inference/models/speechbrain/google_speech_command_xvector \\
	-X POST \\
	--data-binary <span class="hljs-string">&#x27;@sample1.flac&#x27;</span> \\
	-H <span class="hljs-string">&#x27;Authorization: Bearer hf_***&#x27;</span>`,wrap:!1}}),{c(){h(a.$$.fragment)},l(t){g(a.$$.fragment,t)},m(t,r){$(a,t,r),i=!0},p:oe,i(t){i||(y(a.$$.fragment,t),i=!0)},o(t){w(a.$$.fragment,t),i=!1},d(t){M(a,t)}}}function He(T){let a,i;return a=new ce({props:{$$slots:{default:[qe]},$$scope:{ctx:T}}}),{c(){h(a.$$.fragment)},l(t){g(a.$$.fragment,t)},m(t,r){$(a,t,r),i=!0},p(t,r){const c={};r&2&&(c.$$scope={dirty:r,ctx:t}),a.$set(c)},i(t){i||(y(a.$$.fragment,t),i=!0)},o(t){w(a.$$.fragment,t),i=!1},d(t){M(a,t)}}}function Re(T){let a,i,t,r,c,o,u,pe="Audio classification is the task of assigning a label or class to a given audio.",N,j,fe="Example applications:",V,_,de="<li>Recognizing which command a user is giving</li> <li>Identifying a speaker</li> <li>Detecting the genre of a song</li>",L,J,Q,k,z,v,me='<li><a href="https://huggingface.co/speechbrain/google_speech_command_xvector" rel="nofollow">speechbrain/google_speech_command_xvector</a>: An easy-to-use model for command recognition.</li> <li><a href="https://huggingface.co/ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition" rel="nofollow">ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition</a>: An emotion recognition model.</li> <li><a href="https://huggingface.co/facebook/mms-lid-126" rel="nofollow">facebook/mms-lid-126</a>: A language identification model.</li>',X,I,ue='Explore all available models and find the one that suits you best <a href="https://huggingface.co/models?inference=warm&amp;pipeline_tag=audio-classification&amp;sort=trending" rel="nofollow">here</a>.',Y,Z,P,U,F,C,O,S,D,x,he='<thead><tr><th align="left">Payload</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>inputs*</strong></td> <td align="left"><em>string</em></td> <td align="left">The input audio data as a base64-encoded string. If no <code>parameters</code> are provided, you can also provide the audio data as a raw bytes payload.</td></tr> <tr><td align="left"><strong>parameters</strong></td> <td align="left"><em>object</em></td> <td align="left"></td></tr> <tr><td align="left"><strong>        function_to_apply</strong></td> <td align="left"><em>enum</em></td> <td align="left">Possible values: sigmoid, softmax, none.</td></tr> <tr><td align="left"><strong>        top_k</strong></td> <td align="left"><em>integer</em></td> <td align="left">When specified, limits the output to the top K most probable classes.</td></tr></tbody>',K,B,ge="Some options can be configured by passing headers to the Inference API. Here are the available headers:",ee,G,$e='<thead><tr><th align="left">Headers</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>authorization</strong></td> <td align="left"><em>string</em></td> <td align="left">Authentication header in the form <code>&#39;Bearer: hf_****&#39;</code> when <code>hf_****</code> is a personal user access token with Inference API permission. You can generate one from <a href="https://huggingface.co/settings/tokens" rel="nofollow">your settings page</a>.</td></tr> <tr><td align="left"><strong>x-use-cache</strong></td> <td align="left"><em>boolean, default to <code>true</code></em></td> <td align="left">There is a cache layer on the inference API to speed up requests we have already seen. Most models can use those results as they are deterministic (meaning the outputs will be the same anyway). However, if you use a nondeterministic model, you can set this parameter to prevent the caching mechanism from being used, resulting in a real new query. Read more about caching <a href="../parameters#caching%5D">here</a>.</td></tr> <tr><td align="left"><strong>x-wait-for-model</strong></td> <td align="left"><em>boolean, default to <code>false</code></em></td> <td align="left">If the model is not ready, wait for it instead of receiving 503. It limits the number of requests required to get your inference done. It is advised to only set this flag to true after receiving a 503 error, as it will limit hanging in your application to known places. Read more about model availability <a href="../overview#eligibility%5D">here</a>.</td></tr></tbody>',te,E,ye='For more information about Inference API headers, check out the parameters <a href="../parameters">guide</a>.',ae,W,ne,q,we='<thead><tr><th align="left">Body</th> <th align="left"></th> <th align="left"></th></tr></thead> <tbody><tr><td align="left"><strong>(array)</strong></td> <td align="left"><em>object[]</em></td> <td align="left">Output is an array of objects.</td></tr> <tr><td align="left"><strong>        label</strong></td> <td align="left"><em>string</em></td> <td align="left">The predicted class label.</td></tr> <tr><td align="left"><strong>        score</strong></td> <td align="left"><em>number</em></td> <td align="left">The corresponding probability.</td></tr></tbody>',se,H,le,A,ie;return c=new R({props:{title:"Audio Classification",local:"audio-classification",headingTag:"h2"}}),J=new Ze({props:{$$slots:{default:[xe]},$$scope:{ctx:T}}}),k=new R({props:{title:"Recommended models",local:"recommended-models",headingTag:"h3"}}),Z=new R({props:{title:"Using the API",local:"using-the-api",headingTag:"h3"}}),U=new Ce({props:{python:!0,js:!0,curl:!0,$$slots:{curl:[He],js:[We],python:[Ge]},$$scope:{ctx:T}}}),C=new R({props:{title:"API specification",local:"api-specification",headingTag:"h3"}}),S=new R({props:{title:"Request",local:"request",headingTag:"h4"}}),W=new R({props:{title:"Response",local:"response",headingTag:"h4"}}),H=new Se({props:{source:"https://github.com/huggingface/hub-docs/blob/main/docs/inference-providers/tasks/audio-classification.md"}}),{c(){a=d("meta"),i=p(),t=d("p"),r=p(),h(c.$$.fragment),o=p(),u=d("p"),u.textContent=pe,N=p(),j=d("p"),j.textContent=fe,V=p(),_=d("ul"),_.innerHTML=de,L=p(),h(J.$$.fragment),Q=p(),h(k.$$.fragment),z=p(),v=d("ul"),v.innerHTML=me,X=p(),I=d("p"),I.innerHTML=ue,Y=p(),h(Z.$$.fragment),P=p(),h(U.$$.fragment),F=p(),h(C.$$.fragment),O=p(),h(S.$$.fragment),D=p(),x=d("table"),x.innerHTML=he,K=p(),B=d("p"),B.textContent=ge,ee=p(),G=d("table"),G.innerHTML=$e,te=p(),E=d("p"),E.innerHTML=ye,ae=p(),h(W.$$.fragment),ne=p(),q=d("table"),q.innerHTML=we,se=p(),h(H.$$.fragment),le=p(),A=d("p"),this.h()},l(e){const 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Me={};n&2&&(Me.$$scope={dirty:n,ctx:e}),J.$set(Me);const Te={};n&2&&(Te.$$scope={dirty:n,ctx:e}),U.$set(Te)},i(e){ie||(y(c.$$.fragment,e),y(J.$$.fragment,e),y(k.$$.fragment,e),y(Z.$$.fragment,e),y(U.$$.fragment,e),y(C.$$.fragment,e),y(S.$$.fragment,e),y(W.$$.fragment,e),y(H.$$.fragment,e),ie=!0)},o(e){w(c.$$.fragment,e),w(J.$$.fragment,e),w(k.$$.fragment,e),w(Z.$$.fragment,e),w(U.$$.fragment,e),w(C.$$.fragment,e),w(S.$$.fragment,e),w(W.$$.fragment,e),w(H.$$.fragment,e),ie=!1},d(e){e&&(s(i),s(t),s(r),s(o),s(u),s(N),s(j),s(V),s(_),s(L),s(Q),s(z),s(v),s(X),s(I),s(Y),s(P),s(F),s(O),s(D),s(x),s(K),s(B),s(ee),s(G),s(te),s(E),s(ae),s(ne),s(q),s(se),s(le),s(A)),s(a),M(c,e),M(J,e),M(k,e),M(Z,e),M(U,e),M(C,e),M(S,e),M(W,e),M(H,e)}}}const Ae='{"title":"Audio Classification","local":"audio-classification","sections":[{"title":"Recommended models","local":"recommended-models","sections":[],"depth":3},{"title":"Using the API","local":"using-the-api","sections":[],"depth":3},{"title":"API specification","local":"api-specification","sections":[{"title":"Request","local":"request","sections":[],"depth":4},{"title":"Response","local":"response","sections":[],"depth":4}],"depth":3}],"depth":2}';function Ne(T){return je(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Pe extends _e{constructor(a){super(),ke(this,a,Ne,Re,Ue,{})}}export{Pe as component};