cyberandy

class ZurichAgent:
    def __init__(self, wordlift_key: str, openai_key: str, openapi_yaml: str, system_prompt: str, chat_memory: ChatMemoryBuffer):
        # read sys prompt
        with open(system_prompt, 'r') as f:
            prompt_text = f.read()

        # read openapi
        with open(openapi_yaml, 'r') as f:
            openapi_spec = OpenAPIToolSpec(
                yaml.safe_load(f)

cyberandy

cyberandy

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        1000,
        50
      ],
      "tensorPath": "https://gist.githubusercontent.com/cyberandy/d85af5a612c9763928542708c0ac0bf6/raw/b0c02e2f4324657ec7632e6a1e3cffc138e4a845/embeddings_vectors_porsche.tsv",
      "metadataPath": "https://gist.githubusercontent.com/cyberandy/9a629edef01df3255d1e33b9875eadc9/raw/aab52346e227428ee1cf5d85dd4f7fbf2e227918/embeddings_meta_porsche.tsv"

cyberandy

0-100 porsche macan
0-60 porsche macan
1 porsche cayenne
1. porsche 911
1950s porsche
1950s porsche speedster
1955 porsche 356
1956 porsche 356
1956 porsche speedster
1959 porsche

cyberandy

-0.5113864	0.9224017	0.8275403	0.011984834	0.76330054	0.33919206	0.28311774	0.14538139	0.7499551	-0.03052776	0.10189354	0.99692094	-1.2256945	-0.02824433	0.162615	-0.051211037	-0.41829008	0.7155175	0.14836389	0.008838273	0.8170797	0.25933984	-0.16603503	0.44063374	0.08697651	-0.24981156	0.16387565	0.09536284	-0.37290013	0.050002567	0.2126679	0.35391727	0.2208684	0.14932127	-0.13903382	-0.30882716	-0.58008456	0.067993	0.26419926	0.028330343	0.06412557	0.14603412	-0.5382476	-1.1023028	0.92313683	0.5652307	-0.5976789	-0.08452714	-0.6236737	0.13708875	-0.045952026	0.32799286	0.12108048	-1.1154692	-0.09747529	0.20141003	-0.14496945	-1.254203	-0.3187798	1.0494366	0.06164006	-0.21705215	0.14927948	-0.097200364	0.3465199	-0.42689615	0.09920918	0.19603547	-0.5898324	-0.34810644	0.72347945	-0.60483193	0.7405867	0.65496427	0.36481908	0.13829523	-1.104363	0.23256357	0.46551976	0.01618421	0.32897347	-0.45708355	-0.34825176	0.96820194	0.6563605	-0.2686824	1.2559417	-0.80211407	0.28347582	-0.053863037	0.34286124	-0.4816527	

cyberandy

{
  "embeddings": [
    {
      "tensorName": "My tensor",
      "tensorShape": [
        1000,
        50
      ],
      "tensorPath": "https://gist.githubusercontent.com/cyberandy/f40e161d69188df7d5a901b50a64f0fe/raw/674f5c78a0c33d6b6a3da4d726ef918938d4bd68/embeddings_projectors.tsv",
      "metadataPath": "https://gist.githubusercontent.com/cyberandy/092f00976a842497a113280197cb61d7/raw/6aab7043891897269c5c35df81f878e4e0a040b1/embeddings_meta.tsv"

cyberandy

wl0216/entity/artificial_intelligence
wl0216/entity/gennaro_cuofano
wl0216/entity/google
wl0216/entity/google_analytics
wl0216/entity/how_to_optimize_your_website_for_voice_search
wl0216/entity/json-ld
wl0216/entity/knowledge_graph
wl0216/entity/metadata
wl0216/entity/microdata_html
wl0216/entity/natural_language_processing

cyberandy

-1.939915269613265991e-01	1.591661721467971802e-01	-1.672201305627822876e-01	1.209882497787475586e-01	-5.643929913640022278e-02	4.935293793678283691e-01	-6.038862466812133789e-02	-1.090269684791564941e-01	2.572527155280113220e-02	3.857810050249099731e-02	-1.982329189777374268e-01	-1.586464643478393555e-01	2.125328406691551208e-02	-4.903687909245491028e-02	1.097567379474639893e-01	-9.682913124561309814e-02	-1.226566657423973083e-01	-2.898987829685211182e-01	5.542956665158271790e-02	1.637598723173141479e-01	9.308864921331405640e-02	9.676701575517654419e-02	-1.217111721634864807e-01	-1.757894456386566162e-01	-4.662900418043136597e-02	-1.659229546785354614e-01	1.724372655153274536e-01	8.154600858688354492e-02	-1.724783033132553101e-01	3.298109024763107300e-02	-1.414460539817810059e-01	3.574710339307785034e-02	-2.298669368028640747e-01	8.744690567255020142e-02	-1.625491678714752197e-01	-1.283032745122909546e-01	-2.943382263183593750e-01	-6.229398399591445923e-02	1.395162492990493774e-01	-1.934481412172317505e-01	-

cyberandy

[
    {
        "@context": "http://schema.org",
        "@id": "http://data.wordlift.io/[entity-name]",
        "@type": ["LodgingBusiness"],
        "description": "Here goes the description",
        "mainEntityOfPage": "https://www.happywordliftclient.com",
        "image": [
            { "@type": "ImageObject", "url": "https://www.happywordliftclient.com/wp-content/uploads/2011/07/img-19az-1200x675.jpg", "width": 1200, "height": 675 },
            { "@type": "ImageObject", "url": "https://www.happywordliftclient.com/wp-content/uploads/2011/07/img-19az-1200x900.jpg", "width": 1200, "height": 900 },

cyberandy

{
  "@context": "https://www.w3.org/ns/activitystreams",
  "id": "https://wordlift.io/blog/en/#website",
  "type": "http://schema.org/WebSite",
  "http://schema.org/alternateName": "SEO made simple",
  "http://schema.org/name": "WordLift Blog",
  "http://schema.org/potentialAction": {
    "type": "http://schema.org/SearchAction",
    "http://schema.org/query-input": "required name=search_term_string",
    "http://schema.org/target": "https://wordlift.io/blog/en/?s={search_term_string}"