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import gradio as gr | |
import time | |
def load_model_with_retry(model_name, max_retries=3, delay=5): | |
for attempt in range(max_retries): | |
try: | |
return gr.load(f"models/{model_name}") | |
except Exception as e: | |
print(f"Attempt {attempt + 1} failed: {str(e)}") | |
if attempt < max_retries - 1: | |
print(f"Retrying in {delay} seconds...") | |
time.sleep(delay) | |
else: | |
print("Max retries reached. Unable to load model.") | |
raise | |
try: | |
model = load_model_with_retry("meta-llama/Meta-Llama-3.1-70B") | |
model.launch() | |
except Exception as e: | |
print(f"Failed to load model: {str(e)}") | |
print("Consider using a smaller model or checking your network connection.") |