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Update app.py
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app.py
CHANGED
@@ -29,7 +29,7 @@ def get_gemini_response(product_service, target_audience, formula_type, temperat
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{formula["description"]}
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First, analyze
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1. TARGET AUDIENCE ANALYSIS - Pain Points:
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- What specific frustrations does this audience experience?
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- What are their biggest daily challenges?
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@@ -44,7 +44,7 @@ def get_gemini_response(product_service, target_audience, formula_type, temperat
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- What competitive advantages does it have?
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- What emotional benefits does it provide?
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-
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CRITICAL INSTRUCTIONS:
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- Each UVP must be specific and measurable
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@@ -52,17 +52,11 @@ def get_gemini_response(product_service, target_audience, formula_type, temperat
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- Use natural, conversational language
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- Avoid generic phrases and buzzwords
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- Maximum 2 lines per UVP
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[
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---
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PRODUCT/SERVICE ANALYSIS (Benefits)
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[Detailed product/service benefits]
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---
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VALUE PROPOSITIONS:
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[Three UVPs]
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"""
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response = model.generate_content([full_prompt], generation_config={"temperature": temperature})
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@@ -118,6 +112,5 @@ with col2:
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formula_type,
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temperature
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)
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st.write("### Análisis Completo")
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st.write(response)
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{formula["description"]}
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First, analyze (but don't output) these points:
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1. TARGET AUDIENCE ANALYSIS - Pain Points:
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- What specific frustrations does this audience experience?
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- What are their biggest daily challenges?
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- What competitive advantages does it have?
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- What emotional benefits does it provide?
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Based on the above analysis (which should remain internal), create THREE different UVPs following the formula structure provided.
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CRITICAL INSTRUCTIONS:
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- Each UVP must be specific and measurable
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- Use natural, conversational language
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- Avoid generic phrases and buzzwords
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- Maximum 2 lines per UVP
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Output format:
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1. [First UVP]
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2. [Second UVP]
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3. [Third UVP]
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"""
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response = model.generate_content([full_prompt], generation_config={"temperature": temperature})
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formula_type,
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temperature
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)
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st.write("### Propuestas Únicas de Valor")
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st.write(response)
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