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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +30 -31
src/streamlit_app.py
CHANGED
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@@ -1,7 +1,6 @@
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import streamlit as st
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from chat_langraph import system, workflow, HumanMessage, AIMessage, get_all_chat_ids, ToolMessage
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import uuid
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import re
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import os
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import base64
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@@ -9,8 +8,8 @@ import base64
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TEMP_DIR = "/tmp"
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os.makedirs(TEMP_DIR, exist_ok=True)
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st.title("MY CHATBOT")
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st.set_page_config(layout='wide')
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def set_title(messages):
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@@ -20,7 +19,7 @@ def set_title(messages):
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def set_config():
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return {
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def load_session_state():
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@@ -44,7 +43,7 @@ def render_sidebar():
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new_id = str(uuid.uuid4())
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st.session_state.chats.append(new_id)
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st.session_state.current_chat_id = new_id
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config = {
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workflow.update_state(config, {"messages": [system]})
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st.session_state.chat_dict[new_id] = "New Chat"
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for chat_id in st.session_state.chats:
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@@ -55,7 +54,7 @@ def render_sidebar():
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def loadchats():
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if "current_chat_id" not in st.session_state:
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return []
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config = {
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state = workflow.get_state(config)
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messages = state.values.get("messages", [])
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for message in messages:
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@@ -68,8 +67,7 @@ def loadchats():
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with st.chat_message("assistant"):
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st.write(message.content)
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elif isinstance(message, ToolMessage):
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st.info(f"Used a tool")
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return messages
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@@ -84,13 +82,25 @@ def create_download_link(file_path: str, label: str = "Download file") -> str:
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return f"Error creating download link: {e}"
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def
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"""
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st.
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st.markdown(create_download_link(file_path, "📥 Download Image"), unsafe_allow_html=True)
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load_session_state()
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render_sidebar()
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@@ -104,26 +114,15 @@ if "current_chat_id" in st.session_state:
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with st.chat_message("assistant"):
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response_placeholder = st.empty()
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full_response = ""
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for
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{"messages": [system, HumanMessage(user_input)]},
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config={
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stream_mode="messages"
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):
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if isinstance(
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full_response +=
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if isinstance(
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# Detect generated PNG files and show + download them
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file_matches = re.findall(r"/tmp/[\w\.\-_]+\.png", messages.content)
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for file_path in file_matches:
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show_image_with_download(file_path)
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# Existing logic for "Content saved to"
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if "Content saved to" in messages.content:
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file_name = messages.content.replace("Content saved to ", "").strip()
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if os.path.exists(file_name):
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show_image_with_download(file_name)
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response_placeholder.markdown(full_response)
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import streamlit as st
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from chat_langraph import system, workflow, HumanMessage, AIMessage, get_all_chat_ids, ToolMessage
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import uuid
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import os
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import base64
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TEMP_DIR = "/tmp"
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os.makedirs(TEMP_DIR, exist_ok=True)
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st.set_page_config(layout="wide")
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st.title("MY CHATBOT")
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def set_title(messages):
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def set_config():
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return {"configurable": {"thread_id": st.session_state.current_chat_id}}
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def load_session_state():
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new_id = str(uuid.uuid4())
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st.session_state.chats.append(new_id)
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st.session_state.current_chat_id = new_id
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config = {"configurable": {"thread_id": new_id}}
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workflow.update_state(config, {"messages": [system]})
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st.session_state.chat_dict[new_id] = "New Chat"
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for chat_id in st.session_state.chats:
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def loadchats():
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if "current_chat_id" not in st.session_state:
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return []
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config = {"configurable": {"thread_id": st.session_state.current_chat_id}}
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state = workflow.get_state(config)
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messages = state.values.get("messages", [])
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for message in messages:
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with st.chat_message("assistant"):
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st.write(message.content)
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elif isinstance(message, ToolMessage):
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render_tool_message(message)
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return messages
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return f"Error creating download link: {e}"
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def render_tool_message(tool_message: ToolMessage):
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"""Render tool output including download links for any created files."""
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with st.chat_message("assistant"):
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st.info("Tool executed")
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# If tool_message has an explicit "file" field in content/metadata
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if hasattr(tool_message, "content") and isinstance(tool_message.content, dict):
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file_paths = tool_message.content.get("files", [])
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for file_path in file_paths:
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if os.path.exists(file_path):
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if file_path.lower().endswith((".png", ".jpg", ".jpeg")):
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st.image(file_path, caption=os.path.basename(file_path))
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st.markdown(
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create_download_link(file_path, f"📥 Download {os.path.basename(file_path)}"),
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unsafe_allow_html=True,
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)
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# --- Main App Logic ---
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load_session_state()
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render_sidebar()
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with st.chat_message("assistant"):
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response_placeholder = st.empty()
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full_response = ""
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for message, metadata in workflow.stream(
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{"messages": [system, HumanMessage(user_input)]},
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config={"configurable": {"thread_id": st.session_state.current_chat_id}},
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stream_mode="messages",
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):
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if isinstance(message, AIMessage) and message.content.strip():
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full_response += message.content
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if isinstance(message, ToolMessage):
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render_tool_message(message)
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response_placeholder.markdown(full_response)
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