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from huggingface_hub import HfApi | |
from transformers import pipeline | |
# Function to merge models at equal weights | |
def merge_models(models): | |
model_weights = [1.0 / len(models) for _ in range(len(models))] | |
merged_model = pipeline("text-generation", model=models, model_weights=model_weights) | |
return merged_model | |
# Retrieve code-generative models with config.json | |
def get_code_generative_models(): | |
api = HfApi() | |
models_list = api.list_models() | |
code_generative_models = [] | |
for model in models_list: | |
model_id = model.modelId | |
model_info = api.model_info(model_id) | |
if "config.json" in model_info.keys(): | |
code_generative_models.append(model_id) | |
return code_generative_models | |
# Main function to merge models and deploy the merged model | |
def main(): | |
code_generative_models = get_code_generative_models() | |
if len(code_generative_models) < 2: | |
print("At least two code-generative models with config.json files are required for merging.") | |
return | |
models = [model for model in code_generative_models[:2]] # Select the first two models for merging | |
merged_model = merge_models(models) | |
# Embed the merged model into a chat app for testing | |
chat_app = pipeline("text-generation", model=merged_model) | |
# Provide options for the user to download the code/config or deploy the merged model | |
print("Chat App Ready for Testing!") | |
print("Options:") | |
print("1. Download Code/Config") | |
print("2. Deploy as a Unique Space (Requires Write-Permission API Key)") | |
user_choice = input("Enter your choice (1 or 2): ") | |
if user_choice == "1": | |
# Download code/config | |
merged_model.save_pretrained("merged_model") | |
elif user_choice == "2": | |
# Deploy as a Unique Space with write-permission API Key | |
api_key = input("Enter your write-permission API Key: ") | |
# Code to deploy the merged model using the provided API key | |
if __name__ == "__main__": | |
main() |