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app.py
CHANGED
@@ -8,40 +8,6 @@ import spaces
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from database import engine, receipts
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@tool
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def sql_engine(query: str) -> str:
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"""
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Executes an SQL query on the 'receipts' table and returns formatted results.
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Table Schema:
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- receipt_id: INTEGER
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- customer_name: VARCHAR(16)
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- price: FLOAT
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- tip: FLOAT
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Args:
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query: The SQL query to execute.
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Returns:
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Query result as a formatted string.
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"""
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try:
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with engine.connect() as con:
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rows = con.execute(text(query)).fetchall()
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if not rows:
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return "No results found."
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# Convert results to a readable string
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return "\n".join([", ".join(map(str, row)) for row in rows])
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except Exception as e:
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return f"Error: {str(e)}"
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# Initialize CodeAgent to generate SQL queries from natural language
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agent = CodeAgent(
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tools=[sql_engine], # Ensure sql_engine is properly registered
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model=HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct"),
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)
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def query_sql(user_query: str) -> str:
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"""
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Converts natural language input to an SQL query using CodeAgent
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@@ -59,13 +25,51 @@ def query_sql(user_query: str) -> str:
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# Log the generated SQL for debugging
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print(f"Generated SQL: {generated_sql}")
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# Execute the SQL query and return the result
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result = sql_engine(generated_sql)
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# Log the result for debugging
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print(f"SQL Query Result: {result}")
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# Define Gradio interface
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demo = gr.Interface(
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from database import engine, receipts
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@tool
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def query_sql(user_query: str) -> str:
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"""
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Converts natural language input to an SQL query using CodeAgent
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# Log the generated SQL for debugging
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print(f"Generated SQL: {generated_sql}")
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# Ensure we only execute valid SQL queries
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if not generated_sql.lower().startswith(("select", "show", "pragma")):
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return "Error: Only SELECT queries are allowed."
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# Execute the SQL query and return the result
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result = sql_engine(generated_sql)
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# Log the result for debugging
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print(f"SQL Query Result: {result}")
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# If the result is empty, return a friendly message
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if not result.strip():
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return "No results found."
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return result # Return clean result, avoiding passing raw SQL back
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# Initialize CodeAgent to generate SQL queries from natural language
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agent = CodeAgent(
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tools=[sql_engine], # Ensure sql_engine is properly registered
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model=HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct"),
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)
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@tool
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def sql_engine(query: str) -> str:
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"""
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Executes an SQL query on the 'receipts' table and returns formatted results.
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Args:
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query: The SQL query to execute.
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Returns:
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Query result as a formatted string.
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"""
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try:
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with engine.connect() as con:
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rows = con.execute(text(query)).fetchall()
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if not rows:
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return "No results found."
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# Convert results into a readable string format
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return "\n".join([", ".join(map(str, row)) for row in rows])
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except Exception as e:
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return f"Error: {str(e)}"
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# Define Gradio interface
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demo = gr.Interface(
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