Create layout2_v2.py

lab/layout2_v2.py

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+import streamlit as st
+from graph import EssayWriter, RouteQuery, GraphState
+from crew import *
+import os
+import traceback
+import base64
+
+# Install Graphviz if not found
+if os.system("which dot") != 0:
+    os.system("apt-get update && apt-get install -y graphviz")
+
+st.markdown(
+    """
+    <h1 style="text-align: center; white-space: nowrap; font-size: 2.5em;">
+        Multi-Agent Essay Writing Assistant
+    </h1>
+    """,
+    unsafe_allow_html=True
+)
+
+# Ensure session state variables are initialized properly
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "Hello! How can I assist you today?"}]
+
+if "app" not in st.session_state:
+    st.session_state["app"] = None
+
+if "chat_active" not in st.session_state:
+    st.session_state["chat_active"] = True
+
+# Sidebar with essay settings and user-defined length
+with st.sidebar:
+    st.subheader("About:")
+    st.info(
+        "\n\n 1. This app uses the 'gpt-4o-mini-2024-07-18' model."
+        "\n\n 2. Writing essays may take some time, approximately 1-2 minutes."
+    )
+
+    # API Key Retrieval
+    openai_key = st.secrets.get("OPENAI_API_KEY", "")
+
+    st.divider()
+
+    # User-defined essay length selection
+    st.subheader("📝 Configure Essay Settings:")
+    essay_length = st.number_input(
+        "Select Essay Length (words):",
+        min_value=150,
+        max_value=500,
+        value=250,
+        step=50
+    )
+
+    st.divider()
+
+    # Reference section
+    st.subheader("📖 References:")
+    st.markdown(
+        "[1. Multi-Agent System with CrewAI and LangChain](https://discuss.streamlit.io/t/new-project-i-have-build-a-multi-agent-system-with-crewai-and-langchain/84002)",
+        unsafe_allow_html=True
+    )
+
+# Initialize agents function
+def initialize_agents():
+    if not openai_key:
+        st.error("⚠️ OpenAI API key is missing! Please provide a valid key through Hugging Face Secrets.")
+        st.session_state["chat_active"] = True
+        return None
+
+    os.environ["OPENAI_API_KEY"] = openai_key
+    try:
+        # Prevent re-initialization
+        if "app" in st.session_state and st.session_state["app"] is not None:
+            return st.session_state["app"]
+        
+        # Initialize the full EssayWriter instance
+        essay_writer = EssayWriter()  # Store the full instance
+        st.session_state["app"] = essay_writer  # Now contains `graph`
+        st.session_state["chat_active"] = False  # Enable chat after successful initialization
+
+        return essay_writer
+    except Exception as e:
+        st.error(f"❌ Error initializing agents: {e}")
+        st.session_state["chat_active"] = True
+        return None
+
+
+# Automatically initialize agents on app load
+if st.session_state["app"] is None:
+    st.session_state["app"] = initialize_agents()
+
+if st.session_state["app"] is None:
+    st.error("⚠️ Failed to initialize agents. Please check your API key and restart the app.")
+
+app = st.session_state["app"]
+
+# Function to invoke the agent and generate a response
+def generate_response(topic, length):
+    if not app or not hasattr(app, "graph"):
+        st.error("⚠️ Agents are not initialized. Please check the system or restart the app.")
+        return {"response": "Error: Agents not initialized."}
+
+    # Refined prompt for better essay generation
+    refined_prompt = f"""
+    Write a well-structured, engaging, and informative essay on "{topic}". The essay should be approximately {length} words and follow this structured format:
+
+    ## 1. Title
+       - Generate a compelling, creative, and relevant title that encapsulates the theme of the essay.
+
+    ## 2. Introduction (100-150 words)
+       - Clearly define the topic and its importance in the broader context.
+       - Provide a strong **thesis statement** that outlines the essay’s key argument.
+       - Briefly mention the **key themes** that will be explored in the body.
+       - Engage the reader with a thought-provoking fact, quote, or question.
+
+    ## 3. Main Body (Ensure clear organization and logical transitions)
+    Each section should:
+       - **Have a distinct, engaging subheading**.
+       - **Begin with a topic sentence** introducing the section’s main idea.
+       - **Include real-world examples, historical references, or statistical data**.
+       - **Maintain smooth transitions** between sections for cohesive reading.
+
+    ### Suggested Sections (Modify as Needed)
+       - **Historical Context**: Trace the origins and evolution of the topic over time.  
+       - **Key Aspects**: Break down essential components (e.g., cultural, political, economic influences).  
+       - **Modern Challenges & Debates**: Discuss **contemporary issues** and **conflicting viewpoints**.  
+       - **Impact & Future Trends**: Examine how the topic influences the present and future.  
+
+    ## 4. Conclusion (100-150 words)
+       - Concisely summarize key insights and arguments.
+       - Reinforce the essay��s thesis in light of the discussion.
+       - End with a **thought-provoking final statement**, such as:
+         - A **rhetorical question**.
+         - A **call to action**.
+         - A **broader reflection** on the topic’s long-term significance.
+
+    ## 5. Writing & Formatting Guidelines
+       - Maintain **formal, engaging, and precise** language.
+       - Ensure **clear paragraph structure and logical progression**.
+       - Avoid redundancy; keep insights sharp and impactful.
+       - Use **examples, expert opinions, or historical events** to strengthen arguments.
+       - Provide **citations or references** when possible.
+    """
+
+    response = app.graph.invoke(input={"topic": topic, "length": length, "prompt": refined_prompt})
+
+    return response
+
+
+
+# Define Tabs
+tab1, tab2 = st.tabs(["📜 Essay Generation", "📊 Workflow Viz"])
+
+# 📜 Tab 1: Essay Generation
+with tab1:
+    # Display chat messages from the session
+    if "messages" not in st.session_state:
+        st.session_state["messages"] = [{"role": "assistant", "content": "Hello! How can I assist you today?"}]
+
+    for message in st.session_state["messages"]:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"], unsafe_allow_html=True)
+
+    # Handle user input
+    if topic := st.chat_input(placeholder="📝 Ask a question or provide an essay topic...", disabled=st.session_state["chat_active"]):
+        st.chat_message("user").markdown(topic)
+        st.session_state["messages"].append({"role": "user", "content": topic})
+
+        with st.spinner("⏳ Generating your essay..."):
+            response = None
+            if app:
+                response = app.write_essay({"topic": topic})
+            else:
+                st.error("⚠️ Agents are not initialized. Please check the system or restart the app.")
+
+        # Handle the assistant's response
+        with st.chat_message("assistant"):
+            if response and "essay" in response:  # Display essay preview and allow editing
+                essay = response["essay"]
+                
+                # Create Two-Column Layout
+                col1, col2 = st.columns(2)
+
+                with col1:
+                    st.markdown(f"### 📝 Essay Preview ({essay_length} words)")
+                    st.markdown(f"#### {essay['header']}")
+                    st.markdown(essay["entry"])
+                    
+                    for para in essay["paragraphs"]:
+                        st.markdown(f"**{para['sub_header']}**")
+                        st.markdown(para["paragraph"])
+                    
+                    st.markdown("**🖊️ Conclusion:**")
+                    st.markdown(essay["conclusion"])
+
+                with col2:
+                    st.markdown("### ✍️ Edit Your Essay:")
+                    
+                    # Combine all parts of the essay into one editable text field
+                    full_essay_text = f"## {essay['header']}\n\n{essay['entry']}\n\n"
+                    for para in essay["paragraphs"]:
+                        full_essay_text += f"### {para['sub_header']}\n{para['paragraph']}\n\n"
+                    full_essay_text += f"**Conclusion:**\n{essay['conclusion']}"
+
+                    # Editable text area for the user
+                    edited_essay = st.text_area("Edit Here:", value=full_essay_text, height=300)
+
+                    # Save and Download buttons
+                    save_col1, save_col2 = st.columns(2)
+
+                    with save_col1:
+                        if st.button("💾 Save as TXT"):
+                            with open("edited_essay.txt", "w", encoding="utf-8") as file:
+                                file.write(edited_essay)
+                            with open("edited_essay.txt", "rb") as file:
+                                st.download_button(label="⬇️ Download TXT", data=file, file_name="edited_essay.txt", mime="text/plain")
+
+                    with save_col2:
+                        if st.button("📄 Save as PDF"):
+                            from fpdf import FPDF
+                            
+                            pdf = FPDF()
+                            pdf.set_auto_page_break(auto=True, margin=15)
+                            pdf.add_page()
+                            pdf.set_font("Arial", size=12)
+                            
+                            for line in edited_essay.split("\n"):
+                                pdf.cell(200, 10, txt=line, ln=True, align='L')
+
+                            pdf.output("edited_essay.pdf")
+
+                            with open("edited_essay.pdf", "rb") as file:
+                                st.download_button(label="⬇️ Download PDF", data=file, file_name="edited_essay.pdf", mime="application/pdf")
+
+                # Provide download link for the original PDF 
+                pdf_name = response.get("pdf_name")
+                if pdf_name and os.path.exists(pdf_name):
+                    with open(pdf_name, "rb") as pdf_file:
+                        b64 = base64.b64encode(pdf_file.read()).decode()
+                        href = f"<a href='data:application/octet-stream;base64,{b64}' download='{pdf_name}'>📄 Click here to download the original PDF</a>"
+                        st.markdown(href, unsafe_allow_html=True)
+
+                # Save response in session state
+                st.session_state["messages"].append(
+                    {"role": "assistant", "content": f"Here is your {essay_length}-word essay preview and the download link."}
+                )
+            elif response: 
+                st.markdown(response["response"])
+                st.session_state["messages"].append({"role": "assistant", "content": response["response"]})
+            else:
+                st.error("⚠️ No response received. Please try again.")
+
+# 📊 Tab 2: Workflow Visualization
+with tab2:
+    #st.subheader("📊 Multi-Agent Essay Writer Workflow Viz")
+
+    try:
+        graph_path = "/tmp/graph.png"  
+        if os.path.exists(graph_path):
+            st.image(graph_path, caption="Multi-Agent Essay Writer Workflow Visualization", use_container_width=True)
+        else:
+            st.warning("⚠️ Workflow graph not found. Please run `graph.py` to regenerate `graph.png`.")
+
+    except Exception as e:
+        st.error("❌ An error occurred while generating the workflow visualization.")
+        st.text_area("Error Details:", traceback.format_exc(), height=200)
+
+
+# Acknowledgement Section
+st.markdown(
+    """
+    <div style="text-align: center; font-size: 14px; color: #555; padding-top: 200px; margin-top: 200px;">
+        <strong>Acknowledgement:</strong> This app is based on Mesut Duman's work: 
+        <a href="https://github.com/mesutdmn/Autonomous-Multi-Agent-Systems-with-CrewAI-Essay-Writer/tree/main" 
+           target="_blank" style="color: #007BFF; text-decoration: none;">
+           CrewAI Essay Writer
+        </a>
+    </div>
+    """,
+    unsafe_allow_html=True,
+)