Text Summarizer is a simple tool for summarizing text. It returns a summary of the text.
This is a Python API Wrapper for the Text Summarizer API
Using pip:
pip install apiverve-textsummarizerUsing pip3:
pip3 install apiverve-textsummarizerBefore using the textsummarizer API client, you have to setup your account and obtain your API Key. You can get it by signing up at https://apiverve.com
Here's a simple example to get you started quickly:
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient
# Initialize the client with your APIVerve API key
api = TextsummarizerAPIClient("[YOUR_API_KEY]")
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
try:
# Make the API call
result = api.execute(query)
# Print the result
print(result)
except Exception as e:
print(f"Error: {e}")The Text Summarizer API documentation is found here: https://docs.apiverve.com/ref/textsummarizer. You can find parameters, example responses, and status codes documented here.
# Import the client module
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient
# Initialize the client with your APIVerve API key
api = TextsummarizerAPIClient("[YOUR_API_KEY]")Using the API client, you can perform requests to the API.
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}# Make a request to the API
result = api.execute(query)
# Print the result
print(result){
"status": "ok",
"error": null,
"data": {
"originalWords": 67,
"summaryWords": 30,
"percentDifference": 44.78,
"summary": "A news article can include accounts of eyewitnesses to the happening event. Headlines can be used to focus the reader's attention on a particular (or main) part of the article."
}
}The API client provides comprehensive error handling through the TextsummarizerAPIClientError exception. Here are some examples:
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient, TextsummarizerAPIClientError
api = TextsummarizerAPIClient("[YOUR_API_KEY]")
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
try:
result = api.execute(query)
print("Success!")
print(result)
except TextsummarizerAPIClientError as e:
print(f"API Error: {e.message}")
if e.status_code:
print(f"Status Code: {e.status_code}")
if e.response:
print(f"Response: {e.response}")from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient, TextsummarizerAPIClientError
api = TextsummarizerAPIClient("[YOUR_API_KEY]")
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
try:
result = api.execute(query)
# Check for successful response
if result.get('status') == 'success':
print("Request successful!")
print(result.get('data'))
else:
print(f"API returned an error: {result.get('error')}")
except TextsummarizerAPIClientError as e:
# Handle API client errors
if e.status_code == 401:
print("Unauthorized: Invalid API key")
elif e.status_code == 429:
print("Rate limit exceeded")
elif e.status_code >= 500:
print("Server error - please try again later")
else:
print(f"API error: {e.message}")
except Exception as e:
# Handle unexpected errors
print(f"Unexpected error: {str(e)}")The client supports the context manager protocol for automatic resource cleanup:
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient, TextsummarizerAPIClientError
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
# Using context manager ensures proper cleanup
with TextsummarizerAPIClient("[YOUR_API_KEY]") as api:
try:
result = api.execute(query)
print(result)
except TextsummarizerAPIClientError as e:
print(f"Error: {e.message}")
# Session is automatically closed hereEnable debug logging to see detailed request and response information:
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient
# Enable debug mode
api = TextsummarizerAPIClient("[YOUR_API_KEY]", debug=True)
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
# Debug information will be printed to console
result = api.execute(query)If you need to manually manage the session lifecycle:
from apiverve_textsummarizer.apiClient import TextsummarizerAPIClient
api = TextsummarizerAPIClient("[YOUR_API_KEY]")
query = {
"text": "A news article can include accounts of eyewitnesses to the happening event. It can contain photographs, accounts, statistics, graphs, recollections, interviews, polls, debates on the topic, etc. Headlines can be used to focus the reader's attention on a particular (or main) part of the article. The writer can also give facts and detailed information following answers to general questions like who, what, when, where, why and how.",
"sentences": 2
}
try:
result = api.execute(query)
print(result)
finally:
# Manually close the session when done
api.close()Need any assistance? Get in touch with Customer Support.
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