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🚀 Why SharpAPI Python Client SDK?
The SharpAPI Python Client SDK bridges the gap between your Python applications and SharpAPI's robust AI-powered services.
By leveraging this SDK, Python developers can effortlessly incorporate advanced functionalities such as sentiment analysis, content generation, data categorization, and more, without delving deep into complex API integrations.
Check the Python SDK directly at Python Package Index ➺ PyPI.org
Code Samples & Real-World Use Cases
For Python developers looking to dive into SharpAPI, our SharpAPI Python Test Suite on GitHub is the perfect starting point. This repository offers hands-on code samples and use case examples, covering a wide range of SharpAPI's powerful capabilities, from resume parsing to SEO tag generation. With step-by-step instructions and an interactive CLI, developers can easily test out functionalities, simulate diverse workflows, and integrate AI-powered automation into their Python projects faster. Check it out and explore the potential of SharpAPI's Python SDK to streamline your development process today!
Key Benefits:
- Ease of Integration: Simplify the process of connecting your Python applications to SharpAPI services with straightforward installation and intuitive methods.
- Comprehensive Features: Access a wide range of AI-powered tools tailored for various industries, enabling diverse use cases from automating marketing content to enhancing HR processes.
- Reliability and Performance: The SDK ensures efficient communication with SharpAPI endpoints, handling responses and errors gracefully.
🌟 Features at a Glance
The SharpAPI Python Client SDK is packed with features designed to cater to multiple sectors:
E-Commerce
- Generate Engaging Product Introductions: Craft compelling product descriptions that captivate your audience.
- Create Personalized Thank-You Emails: Automate the generation of tailored thank-you messages to enhance customer relationships.
- Streamline Product Categorization: Automatically categorize products to optimize inventory management and user navigation.
- Perform Sentiment Analysis on Product Reviews: Gain insights into customer feedback to inform product development and marketing strategies.
Content & Marketing Automation
- Translate Text for a Global Audience: Break language barriers by translating content seamlessly.
- Paraphrase and Proofread Any Text: Enhance the quality and clarity of your content with automated paraphrasing and proofreading.
- Detect Spam Content: Maintain content integrity by identifying and filtering out spam.
- Extract Contact Information: Automatically extract emails and phone numbers from text to streamline lead generation.
- Summarize Content and Generate Keywords/Tags: Condense lengthy content and generate relevant keywords to improve SEO.
- Generate SEO Meta Tags: Boost your website's search engine visibility with AI-generated SEO tags.
HR Tech
- Generate Job Descriptions: Create detailed and attractive job postings effortlessly.
- Identify Related Job Positions and Skills: Discover related roles and necessary skills to inform recruitment strategies.
- Parse and Extract Information from Resumes: Automate resume parsing to streamline the hiring process.
Travel, Tourism & Hospitality
- Analyze Sentiment in Travel Reviews: Understand customer sentiments to enhance travel experiences.
- Categorize Tours, Activities, and Hospitality Products: Organize offerings efficiently to improve user experience and management.
📦 Installation
Getting started with the SharpAPI Python Client SDK is quick and easy. You can install it via PyPI using pip
or through Poetry for dependency management.
Using pip:
pip install sharpapi-python-client
Using Poetry:
poetry add sharpapi-python-client
🔧 Configuration
1. Obtain Your SharpAPI API Key
To use the SDK, you need an API key from SharpAPI. If you haven't already, sign up at SharpAPI.com and obtain your unique API key.
2. Set Up Environment Variables
For security and convenience, it's best to store your API key in an environment variable. Create a .env
file in your project's root directory:
SHARP_API_KEY=your_sharpapi_api_key_here
Ensure that .env
is included in your .gitignore
to prevent accidental exposure of your API key.
3. Loading Environment Variables
The SDK utilizes python-dotenv
to load environment variables. Initialize it in your application before using the SDK:
from dotenv import load_dotenv
load_dotenv() # Loads environment variables from .env file
💻 Usage
The SharpAPI Python Client SDK offers a straightforward interface to interact with various SharpAPI endpoints. Below are examples demonstrating how to utilize some of its key functionalities.
🛠Basic Example: Generating Product Categories
from sharpapi import SharpApiService
# Initialize the SharpApiService with your API key
sharp_api = SharpApiService(api_key='YOUR_SHARP_API_KEY')
try:
# Generate Product Categories
status_url = sharp_api.product_categories(
product_name='Lenovo Chromebook Laptop (2023), 14" FHD Touchscreen Slim 3, 8-Core MediaTek Kompanio 520 CPU, 4GB RAM, 128GB Storage',
language='German', # Optional
max_quantity=400, # Optional
voice_tone='Neutral', # Optional
context='Optional current e-store categories' # Optional
)
# Fetch and print the results
result_sharp_api_job = sharp_api.fetch_results(status_url)
print(result_sharp_api_job.get_result_json())
except Exception as e:
print(f"An error occurred: {e}")
🛠Advanced Example: Parsing a Resume
from sharpapi import SharpApiService
# Initialize the SharpApiService with your API key
sharp_api = SharpApiService(api_key='YOUR_SHARP_API_KEY')
try:
# Parse Resume
status_url = sharp_api.parse_resume(
file_path='path/to/sample_resume.pdf',
language='English' # Optional
)
# Fetch and print the parsed resume data
parsed_resume = sharp_api.fetch_results(status_url)
print(parsed_resume.get_result_json())
except Exception as e:
print(f"An error occurred: {e}")
🛠Example: Performing Sentiment Analysis on Product Reviews
from sharpapi import SharpApiService
# Initialize the SharpApiService with your API key
sharp_api = SharpApiService(api_key='YOUR_SHARP_API_KEY')
try:
# Analyze Sentiment
review_text = "This product exceeded my expectations! Highly recommended."
status_url = sharp_api.product_review_sentiment(review_text)
# Fetch and print the sentiment analysis results
sentiment_result = sharp_api.fetch_results(status_url)
print(sentiment_result.get_result_json())
except Exception as e:
print(f"An error occurred: {e}")
Happy Coding! 🚀
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