DevToolKit / app.py
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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()