Update app.py

app.py

@@ -1,124 +1,126 @@
-from dotenv import load_dotenv
-import streamlit as st
-import os
-import google.generativeai as genai
-from puv_formulas import puv_formulas
-from styles import apply_styles
-
-# Cargar variables de entorno
-load_dotenv()
-
-# Configurar API de Google Gemini
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-# Función para obtener la respuesta del modelo Gemini
-def get_gemini_response(product_service, target_audience, formula_type, temperature):
-    if not product_service or not target_audience:
-        return "Please complete all required fields."
-    
-    formula = puv_formulas[formula_type]
-    
-    model = genai.GenerativeModel('gemini-2.0-flash')
-    full_prompt = f"""
-    You are a UVP (Unique Value Proposition) expert. Analyze the following information and create THREE compelling UVPs:
-
-    BUSINESS INFORMATION:
-    Product/Service: {product_service}
-    Target Audience: {target_audience}
-    Formula Type: {formula_type}
-
-    {formula["description"]}
-
-    First, analyze and provide:
-    1. TARGET AUDIENCE ANALYSIS - Pain Points:
-       - What specific frustrations does this audience experience?
-       - What are their biggest daily challenges?
-       - What emotional problems do they face?
-       - What have they tried before that didn't work?
-       - What's stopping them from achieving their goals?
-
-    2. PRODUCT/SERVICE ANALYSIS - Benefits:
-       - What tangible results do clients get?
-       - What specific transformation does it offer?
-       - What's the unique method or differentiator?
-       - What competitive advantages does it have?
-       - What emotional benefits does it provide?
-
-    Then, create THREE different UVPs following the formula structure provided above.
-
-    CRITICAL INSTRUCTIONS:
-    - Each UVP must be specific and measurable
-    - Focus on the transformation journey
-    - Use natural, conversational language
-    - Avoid generic phrases and buzzwords
-    - Maximum 2 lines per UVP
-    - Separate sections with "---"
-
-    Format your response as:
-    TARGET AUDIENCE ANALYSIS (Pain Points)
-    [Detailed target audience analysis]
-    ---
-    PRODUCT/SERVICE ANALYSIS (Benefits)
-    [Detailed product/service benefits]
-    ---
-    VALUE PROPOSITIONS:
-    [Three UVPs]
-    """
-    
-    response = model.generate_content([full_prompt], generation_config={"temperature": temperature})
-    return response.parts[0].text if response and response.parts else "Error generating content."
-
-# Configurar la aplicación Streamlit
-st.set_page_config(page_title="UVP Generator", page_icon="💡", layout="wide")
-
-# Título de la app
-st.markdown("<h1>UVP Generator</h1>", unsafe_allow_html=True)
-st.markdown("<h3>Create powerful Unique Value Propositions that attract your ideal clients and communicate your unique value.</h3>", unsafe_allow_html=True)
-
-# Sidebar manual
-with open("manual.md", "r", encoding="utf-8") as file:
-    manual_content = file.read()
-st.sidebar.markdown(manual_content)
-
-# Crear dos columnas
-col1, col2 = st.columns([1, 1])
-
-# Columna izquierda para inputs
-with col1:
-    product_service = st.text_area(
-        "What's your product or service?",
-        placeholder="Example: AI-powered copywriting course, Coaching program..."
-    )
-    
-    target_audience = st.text_area(
-        "Who's your target audience?",
-        placeholder="Example: Coaches who want to attract more clients..."
-    )
-    with st.expander("Advanced options"):
-        formula_type = st.selectbox(
-            "UVP Formula:",
-            options=list(puv_formulas.keys())
-        )
-        temperature = st.slider(
-            "Creativity level:",
-            min_value=0.0,
-            max_value=2.0,
-            value=1.0,
-            step=0.1,
-            help="Higher values generate more creative but less predictable propositions."
-        )
-    
-    generate_button = st.button("Generate UVP")
-
-with col2:
-    if generate_button:
-        response = get_gemini_response(
-            product_service,
-            target_audience,
-            formula_type,
-            temperature
-        )
-        sections = response.split("---")
-        for section in sections:
-            st.write(section.strip())
-            st.divider()
+from dotenv import load_dotenv
+import streamlit as st
+import os
+import google.generativeai as genai
+from puv_formulas import puv_formulas
+from styles import apply_styles
+
+# Cargar variables de entorno
+load_dotenv()
+
+# Configurar API de Google Gemini
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+# Función para obtener la respuesta del modelo Gemini
+def get_gemini_response(product_service, target_audience, formula_type, temperature):
+    if not product_service or not target_audience:
+        return "Please complete all required fields."
+    
+    formula = puv_formulas[formula_type]
+    
+    model = genai.GenerativeModel('gemini-2.0-flash')
+    full_prompt = f"""
+    You are a UVP (Unique Value Proposition) expert. Analyze the following information and create THREE compelling UVPs:
+
+    BUSINESS INFORMATION:
+    Product/Service: {product_service}
+    Target Audience: {target_audience}
+    Formula Type: {formula_type}
+
+    {formula["description"]}
+
+    First, analyze and provide:
+    1. TARGET AUDIENCE ANALYSIS - Pain Points:
+       - What specific frustrations does this audience experience?
+       - What are their biggest daily challenges?
+       - What emotional problems do they face?
+       - What have they tried before that didn't work?
+       - What's stopping them from achieving their goals?
+
+    2. PRODUCT/SERVICE ANALYSIS - Benefits:
+       - What tangible results do clients get?
+       - What specific transformation does it offer?
+       - What's the unique method or differentiator?
+       - What competitive advantages does it have?
+       - What emotional benefits does it provide?
+
+    Then, create THREE different UVPs following the formula structure provided above.
+
+    CRITICAL INSTRUCTIONS:
+    - Each UVP must be specific and measurable
+    - Focus on the transformation journey
+    - Use natural, conversational language
+    - Avoid generic phrases and buzzwords
+    - Maximum 2 lines per UVP
+    - Separate sections with "---"
+
+    Format your response as:
+    TARGET AUDIENCE ANALYSIS (Pain Points)
+    [Detailed target audience analysis]
+    ---
+    PRODUCT/SERVICE ANALYSIS (Benefits)
+    [Detailed product/service benefits]
+    ---
+    VALUE PROPOSITIONS:
+    [Three UVPs]
+    """
+    
+    response = model.generate_content([full_prompt], generation_config={"temperature": temperature})
+    return response.parts[0].text if response and response.parts else "Error generating content."
+
+# Configurar la aplicación Streamlit
+st.set_page_config(page_title="UVP Generator", page_icon="💡", layout="wide")
+
+# Título de la app
+st.markdown("<h1>UVP Generator</h1>", unsafe_allow_html=True)
+st.markdown("<h3>Create powerful Unique Value Propositions that attract your ideal clients and communicate your unique value.</h3>", unsafe_allow_html=True)
+
+# Sidebar manual
+with open("manual.md", "r", encoding="utf-8") as file:
+    manual_content = file.read()
+st.sidebar.markdown(manual_content)
+
+# Crear dos columnas
+col1, col2 = st.columns([1, 1])
+
+# Columna izquierda para inputs
+with col1:
+    product_service = st.text_area(
+        "What's your product or service?",
+        placeholder="Example: AI-powered copywriting course, Coaching program..."
+    )
+    
+    target_audience = st.text_area(
+        "Who's your target audience?",
+        placeholder="Example: Coaches who want to attract more clients..."
+    )
+    with st.expander("Advanced options"):
+        formula_type = st.selectbox(
+            "UVP Formula:",
+            options=list(puv_formulas.keys())
+        )
+        temperature = st.slider(
+            "Creativity level:",
+            min_value=0.0,
+            max_value=2.0,
+            value=1.0,
+            step=0.1,
+            help="Higher values generate more creative but less predictable propositions."
+        )
+    
+    generate_button = st.button("Generate UVP")
+
+with col2:
+    if generate_button:
+        response = get_gemini_response(
+            product_service,
+            target_audience,
+            formula_type,
+            temperature
+        )
+        sections = response.split("---")
+        # Solo mostrar la última sección que contiene las UVPs
+        uvps = sections[-1].strip()  # La última sección contiene las UVPs
+        if "VALUE PROPOSITIONS:" in uvps:
+            uvps = uvps.replace("VALUE PROPOSITIONS:", "").strip()
+        st.write(uvps)