asd

app.py

@@ -4,6 +4,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 from huggingface_hub import HfApi
 import gradio as gr
+import time
 
 # Global variables to store the model and tokenizer
 merged_model = None
@@ -66,11 +67,14 @@ def run_merge_and_push():
     # Merge models
     merged_model, tokenizer = merge_models()
     
+    # Generate a unique repository name
+    timestamp = int(time.time())
+    hub_repo_name = f"your-username/merged-llama3-8b-instruct-{timestamp}"
+    
     # Push to Hugging Face Hub
-    hub_repo_name = "NoaiGPT/mergedbatch1"
     push_to_hub(hub_repo_name)
     
-    return "Model merged and pushed to Hugging Face Hub successfully!"
+    return f"Model merged and pushed to Hugging Face Hub successfully! Repository: {hub_repo_name}"
 
 # Gradio interface
 with gr.Blocks() as demo: