sharpapi_flutter_client
हर सॉफ्टवेयर डेवलपर के लिए AI-संचालित स्विस आर्मी कनीफ़ एपीआई।
SharpAPI.com - AI-संचालित API के साथ स्वचालन करें। ई-कॉमर्स, मार्केटिंग, कंटेंट मैनेजमेंट, HR टेक, यात्रा और अधिक क्षेत्रों में कार्यप्रवाह स्वचालन के लिए AI API का उपयोग करें।
यह अंग्रेज़ी मूल स्नैपशॉट है। नवीनतम सामग्री GitHub पर देखें।
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See more at SharpAPI.com Website »
Please refer to the official:
Add sharpapi_flutter_client to your pubspec.yaml file
dependencies:
sharpapi_flutter_client: ^latest_version
Run flutter pub get to install the package.
Register at SharpApi.com and get the API key. That's it!
Import the package in your dart file
import 'package:sharpapi_flutter_client/sharpapi_flutter_client.dart';
Initialize the SharpApiConfigs with your API key in the main method
void main() {
SharpApiConfigs.init(
apiKey: 'YOUR_API_KEY',
);
runApp(const MyApp());
}
Each call usually takes somewhere between a couple of seconds to a minute.
After that period a returned response will usually have success status and it's results will
be available for further processing.
Each API method returns different return format.
Go to List of API methods/endpoints below for details»
Our API guarantees to return correct format every time. AI engines that SharpAPI
use in rare cases have a tendency to misbehave and timeout
or return incorrect data.
In those cases the returned status for the job will be failed.
You can rerun the exact same job request in that case.
As long as the job is still being processed by our engine it will keep
returning pending status.
For methods that have language parameter you can also
use SharpApiLanguages Enum values to make your code more readable.
Parses a resume (CV) file from multiple formats (PDF/DOC/DOCX/TXT/RTF) and returns an extensive object of data points.
An optional output language parameter can also be provided (English value is set as the default one) .
///*** parse resume
SharpApi.parseResume(
resume: File(''),
language: SharpApiLanguages.ENGLISH, // optional language
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Based on the list of extensive parameters this endpoint provides concise job details in the response format, including
the short description, job requirements, and job responsibilities.
The only mandatory parameter is name.
///*** generate job description
SharpApi.generateJobDescription(
name: 'ANY_JOB_TITLE',
companyName: 'ANY_COMPANY_NAME', // optional company name
minimumEducation: 'Bachelor Degree', // optional minimum education
minimumWorkExperience: '2 years', // optional minimum work experience
employmentType: 'Full Time', // optional employment type
country: 'United States', // optional country
remote: true, // optional remote
visaSponsored: true, // optional visa sponsored
requiredSkills: ['skill1', 'skill2'], // optional required skills
optionalSkills: ['skill3', 'skill4'], // optional optional skills
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
context: 'avoid using abbreviations', // optional context
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of related skills with their weights as a float value (1.0-10.0) where 10 equals 100%, the highest relevance score.
///*** related skills
SharpApi.relatedSkills(
skill: 'ANY_SKILL',
language: SharpApiLanguages.ENGLISH, // optional language
maxQuantity: 5, // optional max quantity
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of related job positions with their weights as float value (1.0-10.0) where 10 equals 100%, the highest relevance score.
///*** related job positions
SharpApi.relatedJobPositions(
jobTitle: 'ANY_JOB_TITLE',
language: SharpApiLanguages.ENGLISH, // optional language
maxQuantity: 5, // optional max quantity
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Parses the customer's product review and provides its sentiment (POSITIVE/NEGATIVE/NEUTRAL) with a score between 0-100%. Great for sentiment report processing for any online store.
///*** product review sentiment
SharpApi.productReviewSentiment(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of suitable categories for the product with relevance weights as a float value (1.0-10.0) where 10 equals 100%, the highest relevance score. Provide the product name and its parameters to get the best category matches possible. Comes in handy with populating product catalogue data and bulk products' processing.
///*** product categories
SharpApi.productCategories(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
maxQuantity: 5, // optional max quantity
context: 'avoid using abbreviations', // optional context
voiceTone: 'neutral', // optional voice tone
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a shorter version of the product description. Provide as many details and parameters of the product to get the best marketing introduction possible. Comes in handy with populating product catalog data and bulk products processing.
///*** generate product intro
SharpApi.generateProductIntro(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
maxLength: 500, // optional max length
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a personalized thank-you email to the customer after the purchase. The response content does not contain the title, greeting or sender info at the end, so you can personalize the rest of the email easily.
///*** generate thank you email
SharpApi.generateThankYouEmail(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
maxLength: 500, // optional max length
context: 'avoid using abbreviations', // optional context
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a paraphrased version of the provided text.
Only the content parameter is required. You can define the output language,
maximum character length, and tone of voice.
Additional instructions on how to process the text can be provided in the context parameter.
Please keep in mind that max_length serves as a strong suggestion
for the Language Model, rather than a strict requirement,
to maintain the general sense of the outcome.
You can set your preferred writing style by providing an optional voice_tone parameter.
It can be adjectives like funny or joyous, or even the name of a famous writer.
This API method also provides an optional context parameter,
which can be used to supply additional flexible instructions for content processing.
///*** paraphrase text
SharpApi.paraphrase(
text: 'ANY_TEXT',
language: SharpApiLanguages.ENGLISH, // optional language
maxLength: 500, // optional length
voiceTone: 'neutral', // optional voice tone
context: 'avoid using abbreviations', // optional context
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Proofreads (and checks grammar) a provided text.
///*** proofread text
SharpApi.proofread(
text: 'ANY_TEXT',
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Translates provided text to selected language. 80 languages are supported.
Please check included SharpApiLanguages Enum class for details.
///*** translate text
SharpApi.translate(
text: 'ANY_TEXT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
context: 'avoid using abbreviations', // optional context
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Checks if provided content passes a spam filtration test. Provides a percentage confidence score and an explanation for whether it is considered spam or not. This information is useful for moderators to make a final decision.
///*** detect spam
SharpApi.detectSpam(
text: 'ANY_TEXT',
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Parses the provided text for any phone numbers and returns the original detected version and its E.164 format. Might come in handy in the case of processing and validating big chunks of data against phone numbers or f.e. if you want to detect phone numbers in places where they're not supposed to be.
///*** detect phones
SharpApi.detectPhones(
text: 'ANY_TEXT',
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Parses the provided text for any possible emails. Might come in handy in case of processing and validating big chunks of data against email addresses or f.e. if you want to detect emails in places where they're not supposed to be.
///*** detect emails
SharpApi.detectEmails(
text: 'ANY_TEXT',
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of unique keywords/tags based on the provided content.
///*** generate keywords
SharpApi.generateKeywords(
text: 'ANY_TEXT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a summarized version of the provided content. Perfect for generating marketing introductions of longer texts.
///*** summarize text
SharpApi.summarizeText(
text: 'ANY_TEXT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
maxLength: 500, // optional max length
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates all most important META tags based on the content provided. Make sure to include link to the website and pictures URL to get as many tags populated as possible.
///*** generate seo tags
SharpApi.generateSeoTags(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Parses the Travel/Hospitality product review and provides its sentiment (POSITIVE/NEGATIVE/NEUTRAL) with a score between 0-100%. Great for sentiment report processing for any online store.
///*** travel review sentiment
SharpApi.travelReviewSentiment(
content: 'ANY_CONTENT',
language: SharpApiLanguages.ENGLISH, // optional language
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of suitable categories for the Tours & Activities product
with relevance weights as float value (1.0-10.0) where 10 equals 100%,
the highest relevance score. Provide the product name and its parameters
to get the best category matches possible. Comes in handy with populating
product catalogue data and bulk product processing.
Only first parameter productName is required.
///*** tours and activities product categories
SharpApi.toursAndActivitiesProductCategories(
productName: 'ANY_PRODUCT_NAME',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
context: 'avoid using abbreviations', // optional context
maxQuantity: 5, // optional max quantity
country: 'United States', // optional country
city: 'New York', // optional city
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Generates a list of suitable categories for the Hospitality type product
with relevance weights as float value (1.0-10.0) where 10 equals 100%,
the highest relevance score. Provide the product name and its parameters
to get the best category matches possible. Comes in handy with populating
products catalogs data and bulk products' processing.
Only first parameter productName is required.
///*** hospitality product categories
SharpApi.hospitalityProductCategories(
productName: 'ANY_PRODUCT_NAME',
language: SharpApiLanguages.ENGLISH, // optional language
voiceTone: 'neutral', // optional voice tone
context: 'avoid using abbreviations', // optional context
maxQuantity: 5, // optional max quantity
country: 'United States', // optional country
city: 'New York', // optional city
).then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
Endpoint to check details regarding the subscription's current period
///*** quota
SharpApi.quota().then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
will result in:
{
"timestamp": "2024-03-19T12:49:41.445736Z",
"on_trial": false,
"trial_ends": "2024-03-17T07:57:46.000000Z",
"subscribed": true,
"current_subscription_start": "2024-03-18T12:37:39.000000Z",
"current_subscription_end": "2024-04-18T12:37:39.000000Z",
"subscription_words_quota": 100000,
"subscription_words_used": 9608,
"subscription_words_used_percentage": 0.1
}
subscription_words_used_percentage is a percentage of current monthly quota usage
and might serve as an alert to the user of the depleted credits.
With a value above 80%, it's advised to subscribe to more credits
at https://sharpapi.com/dashboard/credits to avoid service disruption.
These values are also available in the Dashboard at https://sharpapi.com/dashboard
Simple PING endpoint to check the availability of the API and it's internal timze zone (timestamp).
///*** ping
SharpApi.ping().then((value) {
/// do something with the [value] here
}).catchError((error) {
/// do something with the [error] here
});
will result in:
{
"ping": "pong",
"timestamp": "2024-03-12T08:50:11.188308Z"
}
Please see CHANGELOG for more information on what has changed recently.
The MIT License (MIT). Please see License File for more information.