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,
         )