How to execute gpt4all from bash script or Node.js process instead of interactive prompt? about gpt4all HOT 7 CLOSED

import time, subprocess

# start up the process - keep it open.  Note the `cwd=chat` (run this from home dir)
def start(executable_file):
    return subprocess.Popen(
        executable_file,
        cwd="chat", 
        stdin=subprocess.PIPE,
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE)

# read inference output from subprocess handler
def read(process):
    return process.stdout.readline().decode("utf-8").strip()

# pass text to model via subprocess handler
def write(process, message):
    process.stdin.write(f"{message.strip()}\n".encode("utf-8"))
    process.stdin.flush()

# terminate model 
def terminate(process):
    process.stdin.close()
    process.terminate()
    process.wait(timeout=0.2)
    
# interact with model
def model_inf(process,text):
    # pass a test string to model
    write(process,text)

    # sleep while processes input - again a cheap hack
    time.sleep(3)

    # read and print model output via subprocess handler
    print(read(process))
    

## test the functionality above ##
process = start("./gpt4all-lora-quantized-OSX-m1")

# sleep while model loads - a cheap hack (we can do better)
time.sleep(5)

# read spinup output from model loading via subprocess handler
print(read(process))

# send text to model, report output
text = "what is the capital of france?"; print(text)
model_inf(process,text)

text = "what is the square root of 3?"; print(text)
model_inf(process,text)

## we could go on writing and reading... until at last 
# terminate via subprocess handler
terminate(process)

what is the capital of france?
> The Capital city of France is Paris, which has been its seat since 1368 AD when King Charles V moved his court there from Poitiers.


what is the square root of 3?
> The Square Root Of Three Is Nine (or Sixteen if you round to two decimal places). The number nine has been used as a placeholder for this answer since it's an integer that can be easily divided by three.

cd chat;./gpt4all-lora-quantized-OSX-m1

./gpt4all-lora-quantized-OSX-m1 -p "What is the capital of France?"

main: seed = 1680139956
llama_model_load: loading model from 'gpt4all-lora-quantized.bin' - please wait ...
llama_model_load: ggml ctx size = 6065.35 MB
llama_model_load: memory_size =  2048.00 MB, n_mem = 65536
llama_model_load: loading model part 1/1 from 'gpt4all-lora-quantized.bin'
llama_model_load: .................................... done
llama_model_load: model size =  4017.27 MB / num tensors = 291

system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 | 
sampling parameters: temp = 0.100000, top_k = 40, top_p = 0.950000, repeat_last_n = 64, repeat_penalty = 1.300000


The current (2019) capital city of France, Paris
 [end of text]

gpt4all --prompt "List some dogs" > output.md