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prompt.py
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# ///////////////////////////////////////////////////////////////////////////////////////////////////////////
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# Aqui probamos los propmts, en caso que no funcione apropiadamente usaremos finetuning con la db
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# Ejemplo de prompt basico
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Class Prompt_Gen():
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prompt = "Generate a graph idea based on European fertility data."
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output = generator(prompt, max_length=50, num_return_sequences=1)[0]['generated_text']
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# Aqui vamos a añadir los prompts, comparativa entre paises, lo ideal es mas de uno, pero podriamos iniciar en un 1v1 con la metrica
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# Vamos a generar un codigo para luego ejecutarlo con un exec() y poder imprimir en Streamlit st.pyplot()
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def generate_graph_prompt(country1, country2, metric, start_year, end_year):
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prompt = f"""You have access to a database of European countries with data on {metric}, labor force participation, population, and their predictions for future years.
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Generate Python code using matplotlib to create a line graph showing the trend of {metric} for {country1} and {country2} from {start_year} to {end_year}.
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Also, provide a concise explanation of what this graph represents for an end user who might not be familiar with the data.
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"""
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return prompt
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# Ejemplo de como quedaria el prompt que recibiria el modelo
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prompt = generate_graph_prompt("Germany", "France", "fertility rate", 2020, 2030)
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