Update app.py

app.py

@@ -88,23 +88,30 @@ def generate_chat_responses(chat_completion) -> Generator[str, None, None]:
  if chunk.choices[0].delta.content:
  yield chunk.choices[0].delta.content
 
-# Manejar la entrada del chat del usuario
-if prompt := st.chat_input(
+# Instrucción privada que se aplicará a cada mensaje
+private_instruction = (
  "# Extract the benefits of the product, not the features. # You should be as brief as possible. # Omit the price, if any. # Do not mention the name of the product. # Use 3 paragraphs. # Try to synthesize or summarize. # Focus only on the benefits. # Highlight how this product helps the customer. # Always respond in Spanish. # The text you create will be used in an e-commerce product sales page through the Internet, so it must be persuasive, attractive, and above all very short and summarized. # Remember to keep the text short, summarized, synthesized in three paragraphs. # Surprise me with your best ideas! # Always answers in AMERICAN SPANISH. Stop after finish the first content genreated."
-):
+)
+
+# Manejar la entrada del chat del usuario
+if prompt := st.chat_input("Escribe tu mensaje aquí..."):
  st.session_state.messages.append({"role": "user", "content": prompt})
 
  with st.chat_message("user", avatar="🧑‍💻"): 
  st.markdown(prompt)
 
+ # Preparar los mensajes para la API, incluyendo la instrucción privada
+ messages_for_api = [
+ {"role": "system", "content": private_instruction},
+ {"role": m["role"], "content": m["content"]}
+ for m in st.session_state.messages
+ ]
+
  # Obtener respuesta de la API de Groq
  try:
  chat_completion = client.chat.completions.create(
  model=model_option,
- messages=[
- {"role": m["role"], "content": m["content"]}
- for m in st.session_state.messages
- ],
+ messages=messages_for_api,
  max_tokens=max_tokens,
  stream=True,
  )