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Update app.py
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app.py
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import gradio as gr
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import pandas as pd
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from transformers import pipeline
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# Load & stringify your CSV
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df = pd.read_csv("synthetic_profit.csv")
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table = df.astype(str).to_dict(orient="records")
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#
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qa = pipeline(
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"table-question-answering",
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model="google/tapas-base-finetuned-wtq",
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device=-1
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)
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#
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EXAMPLES = """
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Example 1:
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Q: What is the total revenue for Product A in EMEA in Q1 2024?
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A: Filter Product=A & Region=EMEA & FiscalYear=2024 & FiscalQuarter=Q1, then sum Revenue → 3075162.49
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Example 2:
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Q: What is the total cost for Product A in EMEA in Q1 2024?
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A: Filter Product=A & Region=EMEA & FiscalYear=2024 & FiscalQuarter=Q1, then sum Cost → 2894321.75
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Example 3:
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Q: What is the total margin for Product A in EMEA in Q1 2024?
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A: Filter Product=A & Region=EMEA & FiscalYear=2024 & FiscalQuarter=Q1, then sum ProfitMargin → 0.18
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Example 4:
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Q: What is the average profit margin for Product A in EMEA in Q1 2024?
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A: Filter Product=A & Region=EMEA & FiscalYear=2024 & FiscalQuarter=Q1, then mean ProfitMargin → 0.18
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Example 5:
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Q: What is the total revenue for Product A in Q1 2024?
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A: Filter Product=A & FiscalYear=2024 & FiscalQuarter=Q1, then sum Revenue →
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"""
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def answer_question(question: str) -> str:
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prompt = EXAMPLES + f"\nQ: {question}\nA:"
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iface = gr.Interface(
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fn=answer_question,
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inputs=gr.Textbox(lines=2, placeholder="
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outputs=gr.Textbox(lines=
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title="SAP Profitability Q&A",
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description=
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allow_flagging="never",
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)
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if __name__ == "__main__":
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iface.launch()
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# app.py
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import gradio as gr
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import pandas as pd
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from transformers import pipeline
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# 1) Load & stringify your CSV
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df = pd.read_csv("synthetic_profit.csv")
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table = df.astype(str).to_dict(orient="records")
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# 2) TAPAS pipeline
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qa = pipeline(
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"table-question-answering",
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model="google/tapas-base-finetuned-wtq",
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device=-1
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)
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# 3) Instruction + few-shot examples
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PREFIX = """
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You are a table-QA assistant.
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- When the question asks for “total” or “sum” of a column:
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• Filter rows as specified.
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• Compute the sum of that column.
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• Return exactly one number (the sum).
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- When the question asks for “average” or “mean”:
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• Filter rows as specified.
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• Compute the mean.
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• Return exactly one number (the mean).
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"""
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EXAMPLES = """
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Example 1:
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Q: What is the total revenue for Product A in EMEA in Q1 2024?
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A: Filter Product=A & Region=EMEA & FiscalYear=2024 & FiscalQuarter=Q1, then sum Revenue → 3075162.49
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Example 2:
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Q: What is the total revenue for Product A in Q1 2024?
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A: Filter Product=A & FiscalYear=2024 & FiscalQuarter=Q1, then sum Revenue → 12032469.96
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"""
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def answer_question(question: str) -> str:
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prompt = PREFIX + EXAMPLES + f"\nQ: {question}\nA:"
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try:
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out = qa(table=table, query=prompt)
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return out.get("answer", "No answer found.")
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except Exception as e:
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return f"❌ Pipeline error:\n{e}"
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# 4) Gradio UI
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iface = gr.Interface(
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fn=answer_question,
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inputs=gr.Textbox(lines=2, placeholder="e.g. What is the total revenue for Product A in EMEA in Q1 2024?"),
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outputs=gr.Textbox(lines=2),
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title="SAP Profitability Q&A",
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description=(
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"Table‐QA with TAPAS: instructions + examples force a single-number sum/mean output."
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),
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allow_flagging="never",
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)
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", server_port=7860)
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