API Reference
Search
API Reference
Search
POST
/
v1
/
search
import requests
import base64
def image_url_to_base64(image_url):
# Fetch the image from the URL
response = requests.get(image_url)
# Check if the request was successful
if response.status_code != 200:
raise Exception(f"Failed to fetch image. Status code: {response.status_code}")
# Convert the image content to base64
base64_encoded_image = base64.b64encode(response.content).decode('utf-8')
return f"data:image/jpeg;base64,{base64_encoded_image}"
image_url = "https://cdn.britannica.com/95/94195-050-FCBF777E/Golden-Gate-Bridge-San-Francisco.jpg"
base64_string_encoded_image = image_url_to_base64(image_url)
url = 'https://api.critique-labs.ai/v1/search'
headers = {
'Content-Type': 'application/json',
'X-API-Key': 'REPLACE_KEY_VALUE'
}
data = {
'image': base64_string_encoded_image, ## optional, this is the preferred method of sending an image, though url is also accepted.
'prompt': 'how much are flights to this place from Hong Kong right now',
'source_blacklist': ['expedia.com'], ## optional - specify either source_blacklist or source_whitelist, not both
# 'source_whitelist': ['kayak.com'], ## optional - specify either source_blacklist or source_whitelist, not both
'output_format': {'flights': [{"origin": "string", "airline": "string", "destination": "string","price": "number"}], "response": "string"} ## optional. If you want a structured response, you can specify the output format here
}
# Sending a POST request
response = requests.post(url, headers=headers, json=data)
# Check for any errors
if response.status_code != 200:
raise Exception(f"Request failed with status code {response.status_code}: {response.text}")
# Print the response body
print(response.json())
{
"response": "<string>",
"context": [],
"info": {}
}
Authorizations
Body
application/json
Response
200
application/json
Successful Response
The response is of type object
.
import requests
import base64
def image_url_to_base64(image_url):
# Fetch the image from the URL
response = requests.get(image_url)
# Check if the request was successful
if response.status_code != 200:
raise Exception(f"Failed to fetch image. Status code: {response.status_code}")
# Convert the image content to base64
base64_encoded_image = base64.b64encode(response.content).decode('utf-8')
return f"data:image/jpeg;base64,{base64_encoded_image}"
image_url = "https://cdn.britannica.com/95/94195-050-FCBF777E/Golden-Gate-Bridge-San-Francisco.jpg"
base64_string_encoded_image = image_url_to_base64(image_url)
url = 'https://api.critique-labs.ai/v1/search'
headers = {
'Content-Type': 'application/json',
'X-API-Key': 'REPLACE_KEY_VALUE'
}
data = {
'image': base64_string_encoded_image, ## optional, this is the preferred method of sending an image, though url is also accepted.
'prompt': 'how much are flights to this place from Hong Kong right now',
'source_blacklist': ['expedia.com'], ## optional - specify either source_blacklist or source_whitelist, not both
# 'source_whitelist': ['kayak.com'], ## optional - specify either source_blacklist or source_whitelist, not both
'output_format': {'flights': [{"origin": "string", "airline": "string", "destination": "string","price": "number"}], "response": "string"} ## optional. If you want a structured response, you can specify the output format here
}
# Sending a POST request
response = requests.post(url, headers=headers, json=data)
# Check for any errors
if response.status_code != 200:
raise Exception(f"Request failed with status code {response.status_code}: {response.text}")
# Print the response body
print(response.json())
{
"response": "<string>",
"context": [],
"info": {}
}