Show all specified generation configs in code snippets
Browse files
src/lib/components/InferencePlayground/InferencePlaygroundCodeSnippets.svelte
CHANGED
@@ -31,7 +31,7 @@
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bash: getBashSnippets(conversation)
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};
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let selectedLanguage: Language = '
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function getMessages() {
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const placeholder = [{ role: 'user', content: 'Tell me a story' }];
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@@ -47,10 +47,20 @@
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}
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function getJavascriptSnippets(conversation: Conversation) {
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const snippets: Snippet[] = [];
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snippets.push({
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label: 'Install @huggingface/inference',
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@@ -70,9 +80,8 @@ let out = "";
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for await (const chunk of inference.chatCompletionStream({
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model: "${conversation.model.id}",
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messages: ${
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max_tokens: ${conversation.config.maxTokens},
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seed: 0,
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})) {
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if (chunk.choices && chunk.choices.length > 0) {
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@@ -93,9 +102,8 @@ const inference = new HfInference("your access token")
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const out = await inference.chatCompletion({
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model: "${conversation.model.id}",
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messages: ${
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max_tokens: ${conversation.config.maxTokens},
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seed: 0,
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});
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@@ -107,10 +115,20 @@ console.log(out.choices[0].message);`
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}
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function getPythonSnippets(conversation: Conversation) {
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const snippets: Snippet[] = [];
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snippets.push({
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label: 'Install huggingface_hub',
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@@ -128,9 +146,9 @@ inference_client = InferenceClient(model_id, token=hf_token)
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output = ""
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messages = ${
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for token in client.chat_completion(messages, stream=True,
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new_content = token.choices[0].delta.content
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print(new_content, end="")
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output += new_content`
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@@ -145,9 +163,9 @@ model_id="${conversation.model.id}"
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hf_token = "your HF token"
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inference_client = InferenceClient(model_id, token=hf_token)
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messages = ${
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output = inference_client.chat_completion(messages,
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print(output.choices[0].message)`
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});
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@@ -157,10 +175,20 @@ print(output.choices[0].message)`
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}
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function getBashSnippets(conversation: Conversation) {
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const snippets: Snippet[] = [];
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if (conversation.streaming) {
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@@ -171,9 +199,8 @@ print(output.choices[0].message)`
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--header 'Content-Type: application/json' \
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--data '{
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"model": "meta-llama/Meta-Llama-3-8B-Instruct",
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"messages": ${
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"max_tokens": ${conversation.config.maxTokens},
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"stream": true
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}'`
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});
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@@ -186,9 +213,8 @@ print(output.choices[0].message)`
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--header 'Content-Type: application/json' \
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--data '{
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"model": "meta-llama/Meta-Llama-3-8B-Instruct",
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"messages": ${
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"max_tokens": ${conversation.config.maxTokens}
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}'`
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});
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}
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bash: getBashSnippets(conversation)
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};
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let selectedLanguage: Language = 'bash';
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function getMessages() {
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const placeholder = [{ role: 'user', content: 'Tell me a story' }];
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}
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function getJavascriptSnippets(conversation: Conversation) {
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const formattedMessages = ({ sep, start, end }) =>
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start +
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getMessages()
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.map(({ role, content }) => `{ role: "${role}", content: "${content}" }`)
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.join(sep) +
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end;
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const formattedConfig = ({ sep, start, end }) =>
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start +
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Object.entries(conversation.config)
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.map(([key, val]) => `${key}: ${val}`)
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.join(sep) +
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end;
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const snippets: Snippet[] = [];
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snippets.push({
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label: 'Install @huggingface/inference',
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for await (const chunk of inference.chatCompletionStream({
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model: "${conversation.model.id}",
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messages: ${formattedMessages({ sep: '\n ', start: '[\n ', end: '\n ]' })},
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${formattedConfig({ sep: ',\n ', start: '', end: '' })},
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seed: 0,
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})) {
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if (chunk.choices && chunk.choices.length > 0) {
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const out = await inference.chatCompletion({
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model: "${conversation.model.id}",
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messages: ${formattedMessages({ sep: '\n ', start: '[\n ', end: '\n ]' })},
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${formattedConfig({ sep: ',\n ', start: '', end: '' })},
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seed: 0,
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});
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}
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function getPythonSnippets(conversation: Conversation) {
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const formattedMessages = ({ sep, start, end }) =>
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start +
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getMessages()
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.map(({ role, content }) => `{ "role": "${role}", "content": "${content}" }`)
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.join(sep) +
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end;
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const formattedConfig = ({ sep, start, end }) =>
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start +
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Object.entries(conversation.config)
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.map(([key, val]) => `${key}: ${val}`)
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.join(sep) +
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end;
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const snippets: Snippet[] = [];
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snippets.push({
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label: 'Install huggingface_hub',
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output = ""
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messages = ${formattedMessages({ sep: ',\n ', start: `[\n `, end: `\n]` })}
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for token in client.chat_completion(messages, stream=True, ${formattedConfig({ sep: ', ', start: '', end: '' })}):
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new_content = token.choices[0].delta.content
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print(new_content, end="")
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output += new_content`
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hf_token = "your HF token"
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inference_client = InferenceClient(model_id, token=hf_token)
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messages = ${formattedMessages({ sep: ',\n ', start: `[\n `, end: `\n]` })}
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output = inference_client.chat_completion(messages, ${formattedConfig({ sep: ', ', start: '', end: '' })})
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print(output.choices[0].message)`
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});
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}
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function getBashSnippets(conversation: Conversation) {
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const formattedMessages = ({ sep, start, end }) =>
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start +
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getMessages()
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.map(({ role, content }) => `{ "role": "${role}", "content": "${content}" }`)
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.join(sep) +
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end;
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const formattedConfig = ({ sep, start, end }) =>
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start +
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Object.entries(conversation.config)
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.map(([key, val]) => `${key}: ${val}`)
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.join(sep) +
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end;
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const snippets: Snippet[] = [];
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if (conversation.streaming) {
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--header 'Content-Type: application/json' \
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--data '{
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"model": "meta-llama/Meta-Llama-3-8B-Instruct",
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"messages": ${formattedMessages({ sep: ',\n ', start: `[\n `, end: `\n]` })},
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${formattedConfig({ sep: ',\n ', start: '', end: '' })},
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"stream": true
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}'`
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});
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--header 'Content-Type: application/json' \
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--data '{
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"model": "meta-llama/Meta-Llama-3-8B-Instruct",
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"messages": ${formattedMessages({ sep: ',\n ', start: `[\n `, end: `\n]` })},
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${formattedConfig({ sep: ',\n ', start: '', end: '' })}
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}'`
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});
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}
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