add Bard AI

examples/async_bard.py

@@ -0,0 +1,10 @@
+import asyncio
+from lexica import AsyncClient
+
+async def main(prompt: str) -> dict:
+ client = AsyncClient()
+ response = await client.bard(prompt)
+ return response
+
+if __name__ == "__main__":
+ print(asyncio.run(main("hello, who are you?")))

examples/bard.py

@@ -0,0 +1,9 @@
+from lexica import Client
+
+def main(prompt: str) -> dict:
+ client = Client()
+ response = client.bard(prompt)
+ return response
+
+if __name__ == "__main__":
+ print(main("hello, who are you?"))

lexica/core.py

@@ -94,8 +94,9 @@ def gpt(self, prompt: str,context: str=False) -> dict:
  Returns:
  dict: Answer from the API in the following format:
  {
- "status": str,
- "content": str
+ "message": str,
+ "content": str,
+ "code": int
  }
  """
  params = {
@@ -197,4 +198,35 @@ def getImages(self,task_id:str,request_id:str) -> dict:
  json=payload,
  headers={"content-type": "application/json"}
  )
+ return resp
+
+ def bard(self, prompt: str,context: str=False) -> dict:
+ """ 
+ Get an answer from Bard AI by google for the given prompt
+ Example:
+ >>> client = Client()
+ >>> response = client.bard("Hello, Who are you?")
+ >>> print(response)
+
+ Args:
+ prompt (str): Input text for the query.
+
+ Returns:
+ dict: Answer from the API in the following format:
+ {
+ "message": str,
+ "content": str,
+ "code": int
+ }
+ """
+ params = {
+ "model_id": 20,
+ "prompt": prompt
+ }
+ resp = self._request(
+ url=f'{self.url}/models',
+ method='POST',
+ params=params,
+ headers={"content-type": "application/json"}
+ )
  return resp

lexica/core_async.py

@@ -121,6 +121,37 @@ async def gpt(self, prompt: str,context: str = False) -> dict:
  headers = {"content-type": "application/json"}
  )
  return resp
+
+ async def bard(self, prompt: str,context: str = False) -> dict:
+ """ 
+ Get an answer from Bard AI by google for the given prompt
+ Example:
+ >>> client = Client()
+ >>> response = await client.bard("Hello, Who are you?")
+ >>> print(response)
+
+ Args:
+ prompt (str): Input text for the query.
+
+ Returns:
+ dict: Answer from the API in the following format:
+ {
+ "message": str,
+ "content": str,
+ "code": int
+ }
+ """
+ params = {
+ "model_id": 20,
+ "prompt": prompt
+ }
+ resp = await self._request(
+ url=f'{self.url}/models',
+ method='POST',
+ params=params,
+ headers = {"content-type": "application/json"}
+ )
+ return resp
 
  async def upscale(self, image: bytes) -> bytes:
  """ 

setup.py

@@ -8,7 +8,7 @@ def get_long_description():
 
 setup(
  name="lexica-api",
- version="1.3.9",
+ version="1.4.0",
  author="Qewertyy",
  author_email="[email protected]",
  description="The python package for api.qewertyy.me",