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modify prompt_1
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app.py
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@@ -17,18 +17,20 @@ generator = pipeline("text-generation", model="meta-llama/Llama-3.2-1B-Instruct"
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# T铆tulo de la app en Streamlit
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st.title("Generador de Texto con LLaMA 3.2")
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#text of test
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text = f"""El sistema CRISPR-Cas9 permite una edici贸n precisa del genoma mediante la creaci贸n de rupturas de doble cadena en ubicaciones espec铆ficas del ADN, lo que facilita modificaciones gen茅ticas espec铆ficas."""
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#prompt
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prompt_1 = f"""
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Perform the following actions:
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1 -
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2 -
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3 -
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4 - Translate text to English, Arabic and French maintaining the accuracy of the information.
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5 - Output a json object that contains the following
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keys: id, main_text, tone, lenguage, text.
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Separate your answers with line breaks.
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# T铆tulo de la app en Streamlit
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st.title("Generador de Texto con LLaMA 3.2")
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# T铆tulo exercise 1
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st.title("Exercise 1")
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#text of test
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text = f"""El sistema CRISPR-Cas9 permite una edici贸n precisa del genoma mediante la creaci贸n de rupturas de doble cadena en ubicaciones espec铆ficas del ADN, lo que facilita modificaciones gen茅ticas espec铆ficas."""
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#prompt
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prompt_1 = f"""
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Perform the following actions:
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1 - Rewrite the text, which is in medical technical terms, into simple words so that anyone who doesn't know much about medicine can understand it while maintaining the accuracy of the information.
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2 - Identify the main theme of the text.
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3 - Determine the tone in which the text is written.
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4 - Translate text to English, Arabic and French maintaining the accuracy of the information.
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5 - Output a json object that contains the following keys: id, main_text, tone, lenguage, text.
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Separate your answers with line breaks.
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