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app.py
CHANGED
@@ -19,11 +19,20 @@ def check_daily_limit():
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today = datetime.now().date()
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limit_file = f"daily_limit_{today}.txt"
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if os.path.exists(limit_file):
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-
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return True, "Ready to train!"
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@@ -34,6 +43,18 @@ def mark_daily_usage():
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with open(limit_file, 'w') as f:
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f.write(str(today))
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def run_training():
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"""Run the free H200 training."""
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@@ -56,12 +77,19 @@ def run_training():
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print("Starting free H200 training...")
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start_time = time.time()
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# Run training with timeout
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process = subprocess.Popen(
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["python", TRAINING_SCRIPT],
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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universal_newlines=True
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)
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output_lines = []
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@@ -133,6 +161,7 @@ with gr.Blocks(title="Nano-Coder Free H200 Training") as demo:
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with gr.Column():
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gr.Markdown("### π― Training Control")
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train_button = gr.Button("π Start Free H200 Training", variant="primary")
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status_text = gr.Textbox(label="Training Status", lines=10, interactive=False)
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with gr.Column():
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@@ -160,6 +189,11 @@ with gr.Blocks(title="Nano-Coder Free H200 Training") as demo:
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outputs=status_text
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)
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model_status_button.click(
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fn=check_model_status,
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outputs=model_status_text
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today = datetime.now().date()
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limit_file = f"daily_limit_{today}.txt"
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# For debugging, let's check what's in the file
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if os.path.exists(limit_file):
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try:
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with open(limit_file, 'r') as f:
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last_run = f.read().strip()
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print(f"Debug: Found limit file with content: '{last_run}' for date: {today}")
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if last_run == str(today):
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return False, f"Daily H200 limit reached. Try again tomorrow! (Last run: {last_run})"
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except Exception as e:
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print(f"Debug: Error reading limit file: {e}")
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# If there's an error reading the file, let's allow training
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return True, "Ready to train! (Limit file error, allowing training)"
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else:
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print(f"Debug: No limit file found for today: {today}")
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return True, "Ready to train!"
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with open(limit_file, 'w') as f:
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f.write(str(today))
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print(f"Debug: Marked daily usage for {today}")
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def reset_daily_limit():
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"""Reset the daily limit (for testing)."""
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today = datetime.now().date()
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limit_file = f"daily_limit_{today}.txt"
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if os.path.exists(limit_file):
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os.remove(limit_file)
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return f"β
Daily limit reset for {today}"
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else:
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return f"βΉοΈ No limit file found for {today}"
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def run_training():
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"""Run the free H200 training."""
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print("Starting free H200 training...")
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start_time = time.time()
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# Set environment variables for HF
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env = os.environ.copy()
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# HF Spaces automatically provides HF_TOKEN
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if 'HF_TOKEN' not in env:
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env['HF_TOKEN'] = os.environ.get('HF_TOKEN', '')
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# Run training with timeout
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process = subprocess.Popen(
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["python", TRAINING_SCRIPT],
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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universal_newlines=True,
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env=env
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)
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output_lines = []
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with gr.Column():
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gr.Markdown("### π― Training Control")
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train_button = gr.Button("π Start Free H200 Training", variant="primary")
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reset_button = gr.Button("π Reset Daily Limit", variant="secondary")
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status_text = gr.Textbox(label="Training Status", lines=10, interactive=False)
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with gr.Column():
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outputs=status_text
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)
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reset_button.click(
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fn=reset_daily_limit,
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outputs=status_text
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)
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model_status_button.click(
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fn=check_model_status,
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outputs=model_status_text
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