Reverse-engineered async API for Google Bard inspired by Gemini
Project description
Bard-API
Reverse-engineered asynchronous API for Google Bard providing a simple but elegant interface inspired by official Gemini API.
Installation
pip install bard-webapi
Authentication
- Go to https://bard.google.com/ and login with your Google account
- Press F12 for web inspector, go to
Network
tab and refresh the page - Click any request and copy cookie values of
__Secure-1PSID
and__Secure-1PSIDTS
Usage
Initialization
from bard_webapi import BardClient
# Replace "COOKIE VALUE HERE" with your actual cookie values as strings
Secure_1PSID = "COOKIE VALUE HERE"
Secure_1PSIDTS = "COOKIE VALUE HERE"
client = BardClient(Secure_1PSID, Secure_1PSIDTS, proxy=None)
await client.init()
Generate contents from text inputs
response = await client.generate_content("Hello World!")
print(response.text) # Note: simply use print(response) to get the same output if you just want to see the response text
Retrieve images in response
response = await client.generate_content("Send me some pictures of cats")
images = response.images
for image in images:
print(f"{image.title}({image.url}) - {image.alt}", sep="\n")
Conversations across multiple turns
chat = client.start_chat() # A chat stores the metadata to keep a conversation continuous. It will automatically get updated after each turn
response1 = await chat.send_message("Briefly introduce Europe")
response2 = await chat.send_message("What's the population there?")
print(response1.text, response2.text, sep="\n----------------------------------\n")
Check and switch to other answer candidates
chat = client.start_chat()
response = await chat.send_message("What's the best Japanese dish in your mind? Choose one only.")
for candidate in response.candidates:
print(candidate, "\n----------------------------------\n")
# Control the ongoing conversation flow by choosing candidate manually
new_candidate = chat.choose_candidate(index=1) # Choose the second candidate here
followup_response = await chat.send_message("Tell me more about it.") # Will generate contents based on the chosen candidate
print(new_candidate, followup_response, sep="\n----------------------------------\n")
Project details
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