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