Rapid account: HiBrainy

HiBrainy / HiBrainy

Hibrainy is an AI company.

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讨论区

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Hello desertphile, Please accept our apologies for the delay in reply, this delay occurred due to some changes, now you can access the same service at this link : https://rapidapi.com/hivoicy-vxmKOG2vl/api/speech-recognition-english1 बुध 7:16 24/2/21
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Hello We want to announce that we will move to our new brand and server (PresentID) (https://rapidapi.com/user/presentid) Apologize for this change. We published the exact services on PresentID. Just subscribe to that API and keep doing your work. We will remove HiBrainy APIs until Feb 24th. Best Regards HiBrainy support team बुध 7:02 24/2/21
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Hi, Could you please let me know what is the exact problem you have? सोम 5:04 1/2/21
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Hello We want to announce that we will move to our new brand and server (PresentID) (https://rapidapi.com/user/presentid) Apologize for this change. We published the exact services on PresentID. Just subscribe to that API and keep doing your work. We will remove HiBrainy APIs until Feb 24th. Best Regards HiBrainy support team बुध 7:02 24/2/21
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Hi Alman. As you see in the Face Verification API document, You should send files as multipart/form. Check this sample code in PHP that wrote with Unirest/Request: ``` $response = Unirest\Request::post("https://face-recognition4.p.rapidapi.com/FaceVerification", array( "X-RapidAPI-Host" => "face-recognition4.p.rapidapi.com", "X-RapidAPI-Key" => "0f604d601dmsh575d2ba5e6c9279p1b52aejsn7918a30b6ed4" ), array( "photo1" => Unirest\file::add("undefined"), "photo2" => Unirest\file::add("undefined") ) ); ``` बुध 7:36 5/8/20
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Hi rrojas. Try multipart form to sending images. > C# Sample ``` using (HttpRequestMessage req = new HttpRequestMessage(new HttpMethod("POST"), "Url")) { MultipartFormDataContent content = new MultipartFormDataContent(); content.Add(new ByteArrayContent(PhotoFile), "photo", FileName); req.Content = content; HttpClient client = new HttpClient(); using (HttpResponseMessage response = await client.SendAsync(req)) { string _json = await response.Content.ReadAsStringAsync(); var json = JObject.Parse(_json); if (response.IsSuccessStatusCode) { // Do Somethings } } } ``` रवि 9:49 26/7/20