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app.py
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# Initialize the AI Assistant
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trade_assistant = TradeAssistant(api_token=os.environ.get("HUGGINGFACE_API_TOKEN"))
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# Home page
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@app.route('/')
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# Initialize the AI Assistant
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trade_assistant = TradeAssistant(api_token=os.environ.get("HUGGINGFACE_API_TOKEN"))
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# Create placeholders for app functions to avoid circular imports
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# In a production setting, these would be imported from a separate utility module
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def get_countries():
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return ["USA", "China", "Germany", "Japan", "France"]
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def get_product_codes():
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return [{"code": "01", "description": "Live animals"},
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{"code": "85", "description": "Electrical machinery and equipment"}]
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def query_comtrade(params):
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return {"data": [], "status": "placeholder"}
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def clean_comtrade_data(data):
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return pd.DataFrame()
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def predict_trade(data, model_type):
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return {"predictions": [], "status": "placeholder"}
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def export_data(data, format_type):
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return "placeholder_data"
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def get_ml_models():
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return ["Linear Regression", "Random Forest"]
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def train_ml_model(data, model_type):
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return {"status": "success", "message": "Model trained successfully"}
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def get_cached_data():
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return {"status": "success", "data": {}}
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def get_trade_rankings():
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return {"status": "success", "rankings": []}
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def get_top_trade_partners(country_code):
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return {"status": "success", "partners": []}
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# Home page
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@app.route('/')
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