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Update app.py
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app.py
CHANGED
@@ -1,4 +1,14 @@
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import os
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import gradio as gr
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import random
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@@ -7,12 +17,6 @@ from logger import log_user_feedback
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from dashboard import update_dashboard_plot
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from watchdog import retrain_model
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# ✅ Check if trained_model/config.json exists, if not, initialize the model
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if not os.path.exists("trained_model/config.json"):
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from init_model import initialize_and_save_model
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print("⚙️ Reinitializing EvoTransformer model...")
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initialize_and_save_model()
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# 🎲 Random examples
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examples = [
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{
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import os
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# 🛡️ Ensure model is saved before importing anything that loads it
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if not os.path.exists("trained_model/config.json"):
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print("⚙️ No model found. Initializing and saving EvoTransformer...")
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from init_model import initialize_and_save_model
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initialize_and_save_model()
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else:
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print("✅ EvoTransformer already initialized.")
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import gradio as gr
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import random
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from dashboard import update_dashboard_plot
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from watchdog import retrain_model
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# 🎲 Random examples
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examples = [
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{
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