added tab 4

app.py

@@ -20,6 +20,8 @@ from utils.export import ResultExporter
 # Import LangChain components
 from langchain_groq import ChatGroq
 from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
+from langchain_core.messages import AIMessage, HumanMessage
 
 class GEOSEOApp:
     """Main application class that orchestrates all components"""
@@ -83,10 +85,11 @@ class GEOSEOApp:
         self.render_sidebar()
         
         # Main tabs
-        tab1, tab2, tab3 = st.tabs([
+        tab1, tab2, tab3, tab4 = st.tabs([
             "🌐 Website GEO Analysis",
             "🔧 GEO Content Enhancement", 
-            "📄 Document Q&A", 
+            "📄 Document Q&A",
+            "🧠 Generate GEO Content", 
         ])
         
         with tab1:
@@ -97,6 +100,9 @@ class GEOSEOApp:
         
         with tab3:
             self.render_document_qa_tab()
+        with tab4:
+            self.render_generate_geo_content_tab()
+
     
     def render_sidebar(self):
         """Render sidebar with information and controls"""
@@ -923,6 +929,46 @@ class GEOSEOApp:
             tmp_file.write(uploaded_file.read())
             return tmp_file.name
 
+    def render_generate_geo_content_tab(self):
+        """Tab to generate fresh GEO-optimized content using system prompts"""
+        st.header("🧠 Generate GEO Content")
+        st.markdown("Use this tool to generate AI-optimized content from scratch based on your topic or query.")
+
+        # User input
+        user_prompt = st.text_area("Describe the content you want (e.g., topic, style, target audience):", height=150)
+
+        # Continue chat option
+        if "chat_history" not in st.session_state:
+            st.session_state.chat_history = []
+
+        if st.button("🧠 Generate Content"):
+            if not user_prompt.strip():
+                st.warning("Please enter a topic or description.")
+                return
+
+            # Add user message to chat history
+            st.session_state.chat_history.append(HumanMessage(content=user_prompt))
+
+            # Define system prompt for GEO content generation
+            system_prompt = (
+                "You are a Generative Engine Optimization (GEO) content creation specialist. "
+                "Create content that is highly optimized for AI systems, LLMs, and generative search engines. "
+                "Ensure the content includes rich semantics, clear structure, relevant keywords, and is suitable for conversational use, citations, and AI summaries."
+            )
+            st.session_state.chat_history.insert(0, SystemMessagePromptTemplate.from_template(system_prompt).format())
+
+            with st.spinner("Generating GEO-optimized content..."):
+                response = self.llm.invoke(st.session_state.chat_history)
+                st.session_state.chat_history.append(AIMessage(content=response.content))
+                st.success("✅ Content generated successfully!")
+
+        # Display chat history
+        for msg in st.session_state.chat_history:
+            if isinstance(msg, HumanMessage):
+                st.markdown(f"**🧑 You:** {msg.content}")
+            elif isinstance(msg, AIMessage):
+                st.markdown(f"**🤖 Assistant:** {msg.content}")
+
 
 def main():
     """Main entry point"""