Create app.py

lab/app.py

@@ -0,0 +1,131 @@
+import streamlit as st
+from graph import EssayWriter
+import os
+import base64
+
+st.set_page_config(page_title="Multi-Agent Essay Writer", page_icon="🤖")
+
+# Button HTML (if needed for external links)
+button_html = f'''
+    <div style="display: flex; justify-content: center;">
+        <a href=" " target="_blank">
+            <button style="
+                background-color: #FFDD00;
+                border: none;
+                color: black;
+                padding: 10px 20px;
+                text-align: center;
+                text-decoration: none;
+                display: inline-block;
+                font-size: 16px;
+                margin: 4px 2px;
+                cursor: pointer;
+                border-radius: 10px;
+                box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.2);
+            ">
+            </button>
+        </a>
+    </div>
+'''
+
+# Initialize session state
+if "messages" not in st.session_state:
+    st.session_state.messages = [{"role": "assistant", "content": "Hello! How can I assist you today?"}]
+    st.session_state.app = None
+    st.session_state.chat_active = True
+
+# Sidebar with instructions and API key input
+with st.sidebar:
+    st.info(
+        "* ⚠️ Initialize the agents to start using the application."
+        "\n\n* This app uses the 'gpt-4o-mini-2024-07-18' model."
+        "\n\n* Writing essays may take some time, approximately 1-2 minutes."
+    )
+    developer_mode = st.checkbox("Developer Mode", value=False)
+    openai_key = st.secrets.get("OPENAI_API_KEY", "") if not developer_mode else st.text_input("OpenAI API Key (Developer Mode)", type="password")
+
+# 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 or Developer Mode.")
+        st.session_state.chat_active = True
+        return None
+
+    os.environ["OPENAI_API_KEY"] = openai_key
+    try:
+        essay_writer = EssayWriter().graph
+        st.success("Agents successfully initialized!")
+        st.session_state.chat_active = False
+        return essay_writer
+    except Exception as e:
+        st.error(f"Error initializing agents: {e}")
+        st.session_state.chat_active = True
+        return None
+
+# Sidebar button for initializing agents
+with st.sidebar:
+    if st.button("Initialize Agents", type="primary"):
+        st.session_state.app = initialize_agents()
+    st.divider()
+    st.markdown(button_html, unsafe_allow_html=True)
+
+# Access the initialized app
+app = st.session_state.app
+
+# Function to invoke the agent and generate a response
+def generate_response(topic):
+    return app.invoke(input={"topic": topic}) if app else {"response": "Error: Agents not initialized."}
+
+# Display chat messages from the session
+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("Thinking..."):
+        response = generate_response(topic)
+
+    # Handle the assistant's response
+    with st.chat_message("assistant"):
+        if "essay" in response:  # Display essay preview and download link
+            st.markdown("### Essay Preview:")
+            st.markdown(f"#### {response['essay']['header']}")
+            st.markdown(response["essay"]["entry"])
+            for para in response["essay"]["paragraphs"]:
+                st.markdown(f"**{para['sub_header']}**")
+                st.markdown(para["paragraph"])
+            st.markdown("**Conclusion:**")
+            st.markdown(response["essay"]["conclusion"])
+
+            # Provide download link for the PDF
+            with open(response["pdf_name"], "rb") as pdf_file:
+                b64 = base64.b64encode(pdf_file.read()).decode()
+                href = f"<a href='data:application/octet-stream;base64,{b64}' download='{response['pdf_name']}'>Click here to download the PDF</a>"
+                st.markdown(href, unsafe_allow_html=True)
+
+            # Save the assistant's message to session state
+            st.session_state.messages.append(
+                {"role": "assistant", "content": "Here is your essay preview and the download link."}
+            )
+        else:  # For other responses (e.g., general answers)
+            st.markdown(response["response"])
+            st.session_state.messages.append({"role": "assistant", "content": response["response"]})
+
+# Add acknowledgment at the bottom
+st.markdown("---")
+st.markdown(
+    """
+    <div style="text-align: center; font-size: 14px; color: #555;">
+        <strong>Acknowledgment:</strong> This project 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,
+)