SensAi - The Next-Level AI

(Powered by ScribbleX and DeepNight)

SensAi is a smart conversational AI built around GPT-2 and GPT-3.5 that can search the internet and also fetch real-time data to answer your queries.

What Can SensAi Do?

SensAi is built around a highly trained model of GPT-2 and GPT-3.5. It can carry conversations, search the web, and also fetch real-time data.

• Hold Conversations: SensAi is more than just an AI system - it's your ultimate conversational companion! With the ability to hold conversations and recall context, SensAi makes interactions with users more fluid and natural. Although this feature is not yet available, stay tuned as we're working tirelessly to bring this cutting-edge capability to you in the very near future. Get ready for a whole new level of conversational AI with SensAi!

• Search the Web: Say goodbye to vague or inaccurate responses - SensAi is here to provide you with the most reliable information available! Thanks to its advanced web search capabilities, SensAi can quickly and efficiently scour the internet for the most relevant references to provide accurate responses to your queries. With SensAi, you can trust that the information you receive is the most up-to-date and accurate available. Get ready to experience the power of SensAi's knowledge with its advanced web search feature!

• Fetch Real-Time Data: SensAi isn't your average AI - it's a real-time data wizard! Although it can currently only fetch time and weather data for any location, it's just the beginning of what it's capable of. Stay tuned as we continue to add more real-time data sources to SensAi's capabilities, making it your ultimate one-stop-shop for all the latest information you need!

• Most Precise Calculation Results: Get ready to experience the ultimate in accuracy with SensAi's built-in calculator! While even the most advanced AI systems can sometimes make mistakes in calculations, SensAi's precise and reliable calculator ensures that every answer it provides is absolutely spot-on. With SensAi, you can trust that you're getting the most accurate calculations possible, every time. Whether you're calculating complex equations or just need a quick answer, SensAi's calculator is the perfect tool for the job. Say goodbye to calculation errors and hello to the ultimate in accuracy with SensAi!

• The Code Expert: Unlock the true potential of your coding skills with SensAi! With support for multiple programming languages, including popular options like JavaScript, Python, C/C++, Java, Ruby, and PHP, SensAi is the ultimate coding companion. Not only can SensAi write code for you, but it can also explain code and prepare documentation, taking your coding skills to the next level. Whether you're a seasoned pro or just starting out, SensAi's multi-language support is the perfect tool to help you code smarter, faster, and more efficiently than ever before. Get ready to revolutionize the way you code with SensAi!

What's on the way?

We are working constantly on making SensAi more advanced and adding more functionalities to it.

Some of the upcoming features are:

• Generate Code Documentations: Our team is hard at work perfecting SensAi's ability to create flawless documentation for your code. Whether you need to generate a ReadMe.md file for your GitHub repositories or create comprehensive documentation for your entire project, SensAi will have you covered.

• Store Data in Files: We're working on bringing the ability to store data in a variety of file formats, including .txt, .docx, .pdf, and .xlsx, SensAi will make it easier than ever to access the information you need, whenever you need it.

• Updates in Real-Time Data Fetches: SensAi is currently capable of fetching time and weather reports of a location. In near future, SensAi will be able to fetch a lot more real-time data like News, Stock Prices, Weather Forecasts, and a lot more.

• Updates in Web Search: Currently SensAi searches the web via MediaWiki but we are working on making the web searches more advanced so that we can gather a lot more than just Wikis.

API Reference

Get Output

  GET /v1

Parameter	Type	Description
memory	string	Optional. Memory ID of Conversation
prompt	string	Required. Your Query / Prompt
limit	string	Optional. Limit of the length of Output

Headers	Type	Description
Authorization	string	Required. Your API key
Content-Type	string	Optional. application/json

Response:

    JSON:
    {   "response": "SENSAI_RESPONSE",
        "processes": TOTAL_PROCESSES_CONSUMED,
        "memory": "MEMORY_ID"   }

• "response" - this is the response from SensAi to your Query / Prompt
• "processes" - total number of processes consumed by SensAi to process your Query / Prompt
• "memory" - this is the memory id of the particular conversation. You can pass this ID in parameters while making the call to SensAi to carry a conversation.

Get Processes

  GET /process

This is to find out how many processes your prompt values. (This doesn't include the processes of your response.)

Parameter	Type	Description
prompt	string	Required. Your Query / Prompt

We have more end-points ready but not released yet. (Gonna be there soon!)

• Wikipedia Search - This will search for your query on Wikipedia and return the first paragraph (Intro). If a related topic can't be found, it will return null.

• Sens - Sens is our personally trained Model to detect sensitive content. We personally use Sens at two points.

  • When The user provides the prompt. Here we check the sensitivity of the user's prompt and if the content is against our policies, we rasie a violation error.
  • When SensAi returns the response. Here we make sure that content provided by SensAi is not harmful, sensitive, or controvertial in any way.

SensAi is not publically accessible yet. We have only released an Early Access Model. If you want to gain access to Early Access Model of SensAi please contact us at SensAi.slx

SensAi is an Advanced AI system that can be implemented in your own applications to run certain commands. This works on text classification, recognition, and scenario generation and understandings. With this you can train SensAi to be implemented in your own application. For business queries, please Email Us.

Implementation Examples

Python

import requests
import json

url = "https://*********/v1"
headers = {
    "Content-Type": "application/json",
    "Authorization": "API_KEY"
}
data = {
    "Prompt": "YOUR_PROMPT",
    "Memory": "CONVERSATION_MEMORY_ID",
    "Limit": "MAX_OUTPUT_WORDS"
}

response = requests.post(url, headers=headers, data=json.dumps(data))
print(response.content)

PHP

<?php
$url = "https://*********/v1";
$headers = array(
    "Content-Type: application/json",
    "Authorization: API_KEY"
);
$data = array(
    "Prompt" => "YOUR_PROMPT",
    "Memory" => "CONVERSATION_MEMORY_ID",
    "Limit" => "MAX_OUTPUT_WORDS"
);

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

JavsScript

const url = "https://*********/v1";
const headers = {
    "Content-Type": "application/json",
    "Authorization": "API_KEY"
};
const data = {
    "Prompt": "YOUR_PROMPT",
    "Memory": "CONVERSATION_MEMORY_ID",
    "Limit": "MAX_OUTPUT_WORDS"
};

fetch(url, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error(error));

cURL

curl -X POST "https://*********/v1" \
-H "Content-Type: application/json" \
-H "Authorization: API_KEY" \
-d '{"Prompt":"YOUR_PROMPT","Memory":"CONVERSATION_MEMORY_ID","Limit":"MAX_OUTPUT_WORDS"}'

Ruby

require "net/http"
require "uri"
require "json"

url = URI("https://*********/v1")
headers = {
    "Content-Type" => "application/json",
    "Authorization" => "API_KEY"
}
data = {
    "Prompt" => "YOUR_PROMPT",
    "Memory" => "CONVERSATION_MEMORY_ID",
    "Limit" => "MAX_OUTPUT_WORDS"
}

response = Net::HTTP.post(url, data.to_json, headers)
puts response.body

Perl

use LWP::UserAgent;
use JSON;

my $url = "https://*********/v1";
my $headers = {
    "Content-Type" => "application/json",
    "Authorization" => "API_KEY"
};
my $data = {
    "Prompt" => "YOUR_PROMPT",
    "Memory" => "CONVERSATION_MEMORY_ID",
    "Limit" => "MAX_OUTPUT_WORDS"
};

my $ua = LWP::UserAgent->new;
my $response = $ua->post(
    $url,
    Content_Type => "application/json",
    Content => encode_json($data),
    %$headers
);

print $response->decoded_content;

Demo

Feedback

If you have any feedback, please reach out to us at [email protected]

Authors

• @kstyagi.23
• @scribblex-SDA