jomasego commited on
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227c7ac
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1 Parent(s): 254e4d7

Upload app.py with huggingface_hub

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  1. app.py +35 -6
app.py CHANGED
@@ -70,12 +70,41 @@ except Exception as e:
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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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- # Import the primary app functionality
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- # This avoids having to duplicate all the code
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- from app import (get_countries, get_product_codes, query_comtrade,
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- clean_comtrade_data, predict_trade, export_data,
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- get_ml_models, train_ml_model, get_cached_data,
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- get_trade_rankings, get_top_trade_partners)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ def query_comtrade(params):
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+ return {"data": [], "status": "placeholder"}
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+
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+ def clean_comtrade_data(data):
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+ return pd.DataFrame()
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+
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+ def predict_trade(data, model_type):
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+ return {"predictions": [], "status": "placeholder"}
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+
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+ def export_data(data, format_type):
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+ return "placeholder_data"
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+
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+ def get_ml_models():
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+ return ["Linear Regression", "Random Forest"]
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+
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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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+
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+ def get_cached_data():
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+ return {"status": "success", "data": {}}
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+
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+ def get_trade_rankings():
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+ return {"status": "success", "rankings": []}
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+
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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('/')