streamai 0.0.1

serve ai agents as api easily.

🌩️ Stream AI easily

streamai let's you serve any AI agents/model(currently llms only) easily as api and integrate in fontend quickly.

todo:

• test alpaca lora with deployment
• fix dynamic installation issue
• add endpoint for info about deployed model

deploy from custom model script

from streamai.app import endpointIO
from streamai.models import Autoalpacalora
def custom_model_IO(input:str):
    output = customodelinference(input) #depend on your inference function, just need to return string output from it.
    return f"this is output of {output}"
    
model1 = endpointIO(custom_model_IO)
model1.run() #this will create a server api endpoint for your model, at http://0.0.0.0:8000 see terminal logs for more info about endpoints

deploy from inbuild models libs(you can also finetun inbuilt models)

from streamai.app import endpointIO
from streamai.models import Autoalpacalora
    
modelinstance = Autoalpacalora("decapoda/llama-7b", "./scroltest")
#modelinstance.loadmodel() #required for deployment of model as api, not required during finetuning.
#modelinstance.setparameters(input="use this as context", max_tokens=128, top_p=12, top_k=40) #optional, look into .info['available_methods']['setparameters'] for more details.
print(modelinstance.info['available_methods'])
model1 = endpointIO(modelinstance.testinferenceIO) #still some testing to do in actual alpaca inferneceIO.
model1.run()