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Simple model picker for openrouter
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import openai | |
from colorama import Fore | |
openai.api_base = "https://openrouter.ai/api/v1" | |
openai.api_key = "" #use own openrouter api key | |
system = "Your name is Bob. You are an intelligent and useful assistant that helps the user solve problems." | |
messages = [{"role" : "system", "content" : system},] | |
models = { | |
"1": {"name": "gryphe/mythomist-7b", "context_length": 32768, "is_free": True}, | |
"2": {"name": "openchat/openchat-7b", "context_length": 8192, "is_free": True}, | |
"3": {"name": "undi95/toppy-m-7b", "context_length": 32768, "is_free": True}, | |
"4": {"name": "teknium/openhermes-2.5-mistral-7b", "context_length": 4096, "is_free": False}, | |
"5": {"name": "nousresearch/nous-capybara-34b", "context_length": 32768, "is_free": False}, | |
"6": {"name": "lizpreciatior/lzlv-70b-fp16-hf", "context_length": 4096, "is_free": False}, | |
"7": {"name": "alpindale/goliath-120b", "context_length": 6144, "is_free": False} | |
} | |
def mk_completion(model, messages): | |
return openai.ChatCompletion.create( | |
model=model["name"], | |
messages=messages, | |
stream=True, | |
max_tokens=model["context_length"], # decrease if needed | |
temperature=0.7, | |
) | |
def select_model(): | |
print(Fore.YELLOW + "Select a model (default 1):" + Fore.WHITE) | |
for key, value in models.items(): | |
model_name = value["name"].split('/')[-1] | |
status = "Free" if value["is_free"] else "Paid" | |
print(f"{key}: {model_name} (Context Length: {value['context_length']}, {status})") | |
choice = input(Fore.GREEN + "\nEnter model number: " + Fore.WHITE) | |
return models.get(choice, models["1"]) | |
model = select_model() | |
while True: | |
message = input(Fore.GREEN + "\nMessage: " + Fore.WHITE) | |
messages += [{"role" : "user", "content" : str(message)}] | |
completion = mk_completion(model, messages) | |
tokens = [] | |
print(Fore.CYAN + "Assistant: " + Fore.WHITE , end="") | |
for chunk in completion: | |
try: | |
token = chunk['choices'][0]['delta']["content"] | |
print(token, end="", flush=True) | |
tokens += token | |
except: | |
print() | |
break | |
assistant_message = "".join(tokens) | |
messages += [{"role" : "assistant", "content" : str(assistant_message)}] |
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