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Update app.py
Browse files
app.py
CHANGED
@@ -2,17 +2,18 @@ import requests
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import os
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import json
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import streamlit as st
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from datetime import datetime
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import time
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# Page configuration
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st.set_page_config(
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page_title="Chat Flow π·",
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page_icon="π¬",
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initial_sidebar_state="
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)
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#
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st.markdown("""
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<style>
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.stApp {
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font-size: 0.8em;
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font-style: italic;
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}
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</style>
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""", unsafe_allow_html=True)
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# File to store chat history
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HISTORY_FILE = "chat_history.json"
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def load_chat_history():
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"""Load chat history from file"""
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except Exception as e:
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st.error(f"Error clearing chat history: {e}")
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-
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if "messages" not in st.session_state:
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st.session_state.messages = load_chat_history()
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# Get API key
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OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY")
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except:
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return "Error"
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-
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def get_ai_response(messages, model="openai/gpt-3.5-turbo"):
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if not OPENROUTER_API_KEY:
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return "No API key found. Please add OPENROUTER_API_KEY to environment variables."
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-
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url = "https://openrouter.ai/api/v1/chat/completions"
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {OPENROUTER_API_KEY}",
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"HTTP-Referer": "http://localhost:8501",
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"X-Title": "Streamlit AI Assistant"
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}
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-
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-
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api_messages.extend(messages)
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data = {
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"model": model,
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"messages": api_messages,
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"frequency_penalty": 0,
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"presence_penalty": 0
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}
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try:
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response = requests.post(url, headers=headers, json=data, stream=True, timeout=60)
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# Better error handling
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if response.status_code != 200:
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error_detail = ""
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try:
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error_detail = error_data.get('error', {}).get('message', f"HTTP {response.status_code}")
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except:
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error_detail = f"HTTP {response.status_code}: {response.reason}"
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yield f"API Error: {error_detail}. Please try a different model or check your API key."
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return
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-
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full_response = ""
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buffer = ""
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-
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# Using your working streaming logic
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for line in response.iter_lines():
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if line:
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# The server sends lines starting with "data: ..."
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if line.startswith(b"data: "):
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data_str = line[len(b"data: "):].decode("utf-8")
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if data_str.strip() == "[DONE]":
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if delta:
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full_response += delta
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yield full_response
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except json.JSONDecodeError:
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continue
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-
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continue
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except requests.exceptions.Timeout:
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yield "Request timed out. Please try again with a shorter message or different model."
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except requests.exceptions.ConnectionError:
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except Exception as e:
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yield f"Unexpected error: {str(e)}. Please try again or contact support."
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# Header
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st.title("
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st.caption("
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# Sidebar
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with st.sidebar:
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-
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-
#
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status = check_api_status()
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if status == "Connected":
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st.success("π’ API Connected")
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st.error("No API Key")
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else:
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st.warning("Connection Issue")
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st.divider()
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#
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models = [
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("GPT-3.5 Turbo", "openai/gpt-3.5-turbo"),
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("LLaMA 3.1 8B", "meta-llama/llama-3.1-8b-instruct"),
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("Gemma 3 4B", "google/gemma-3-4b-it:free"),
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("Auto (Best Available)", "openrouter/auto")
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]
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model_names = [name for name, _ in models]
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model_ids = [model_id for _, model_id in models]
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selected_index = st.selectbox("Model", range(len(model_names)),
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selected_model = model_ids[selected_index]
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# Show selected model ID in green
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st.markdown(f"**Model ID:** <span class='model-id'>{selected_model}</span>", unsafe_allow_html=True)
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st.divider()
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# Chat History Controls
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st.header("Chat History")
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# Show number of messages
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if st.session_state.messages:
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st.info(f"Messages stored: {len(st.session_state.messages)}")
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# Auto-save toggle
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auto_save = st.checkbox("Auto-save messages", value=True)
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# Manual save/load buttons
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col1, col2 = st.columns(2)
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with col1:
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if st.button("Save History", use_container_width=True):
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save_chat_history(st.session_state.messages)
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st.success("History saved!")
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with col2:
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if st.button("Load History", use_container_width=True):
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st.session_state.messages = load_chat_history()
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st.success("History loaded!")
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st.rerun()
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st.divider()
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# View History
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if st.button("View History File", use_container_width=True):
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if os.path.exists(HISTORY_FILE):
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st.text_area("Chat History (JSON)", history_content, height=200)
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else:
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st.warning("No history file found")
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-
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# Download History
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if os.path.exists(HISTORY_FILE):
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with open(HISTORY_FILE, 'rb') as f:
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mime="application/json",
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use_container_width=True
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)
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st.divider()
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# Clear controls
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if st.button("Clear Chat", use_container_width=True, type="secondary"):
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clear_chat_history()
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st.success("Chat cleared!")
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st.rerun()
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#
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if not st.session_state.messages:
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st.info("How can I help you today?")
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# Display chat messages
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for message in st.session_state.messages:
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if len(parts) > 1:
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model_name = parts[1].replace("***", "").replace("**", "")
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st.markdown(main_content)
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st.markdown(
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else:
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st.markdown(message["content"])
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else:
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st.markdown(message["content"])
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# Chat input
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if prompt := st.chat_input("
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# Add user message
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user_message = {"role": "user", "content": prompt}
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st.session_state.messages.append(user_message)
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-
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# Auto-save if enabled
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if auto_save:
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save_chat_history(st.session_state.messages)
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# Display user message
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with st.chat_message("user"):
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st.markdown(prompt)
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-
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# Get AI response
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with st.chat_message("assistant"):
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placeholder = st.empty()
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-
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full_response = ""
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try:
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for response in get_ai_response(st.session_state.messages, selected_model):
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full_response = response
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placeholder.markdown(full_response + "β")
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-
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# Remove cursor and show final response
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placeholder.markdown(full_response)
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-
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except Exception as e:
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error_msg = f"An error occurred: {str(e)}"
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placeholder.markdown(error_msg)
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full_response = error_msg
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-
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# Add AI response to messages with attribution
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full_response_with_attribution = full_response + f"\n\n---\n*Response created by: **{model_names[selected_index]}***"
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assistant_message = {"role": "assistant", "content": full_response_with_attribution}
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st.session_state.messages.append(assistant_message)
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-
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# Auto-save if enabled
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if auto_save:
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save_chat_history(st.session_state.messages)
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# Show currently using model
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st.caption(f"Currently using: **{model_names[selected_index]}**")
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import os
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import json
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import streamlit as st
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from datetime import datetime, timedelta
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import time
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import uuid
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# Page configuration
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st.set_page_config(
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page_title="Chat Flow π·",
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page_icon="π¬",
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initial_sidebar_state="expanded"
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)
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# Enhanced CSS with chat history styling and BLACK NEW CHAT BUTTON
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st.markdown("""
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<style>
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.stApp {
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font-size: 0.8em;
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font-style: italic;
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}
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/* NEW CHAT BUTTON - Black background, white text */
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.stButton > button[kind="primary"] {
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background-color: #000000 !important;
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border-color: #000000 !important;
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color: #ffffff !important;
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}
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.stButton > button[kind="primary"]:hover {
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background-color: #333333 !important;
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border-color: #333333 !important;
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color: #ffffff !important;
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}
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.stButton > button[kind="primary"]:active {
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background-color: #1a1a1a !important;
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border-color: #1a1a1a !important;
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color: #ffffff !important;
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}
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.stButton > button[kind="primary"]:focus {
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background-color: #000000 !important;
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border-color: #000000 !important;
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color: #ffffff !important;
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box-shadow: 0 0 0 0.2rem rgba(0, 0, 0, 0.25) !important;
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}
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/* Chat history styling */
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.chat-history-item {
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padding: 8px 12px;
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margin: 4px 0;
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border-radius: 8px;
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border: 1px solid #e0e0e0;
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background: #f8f9fa;
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cursor: pointer;
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transition: all 0.2s;
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}
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.chat-history-item:hover {
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background: #e9ecef;
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border-color: #28a745;
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}
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.chat-history-item.active {
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background: #28a745;
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color: white;
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border-color: #28a745;
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}
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91 |
+
.chat-title {
|
92 |
+
font-weight: 500;
|
93 |
+
font-size: 0.9em;
|
94 |
+
margin-bottom: 2px;
|
95 |
+
}
|
96 |
+
|
97 |
+
.chat-date {
|
98 |
+
font-size: 0.75em;
|
99 |
+
opacity: 0.7;
|
100 |
+
}
|
101 |
+
|
102 |
+
.new-chat-btn {
|
103 |
+
width: 100%;
|
104 |
+
margin-bottom: 16px;
|
105 |
+
}
|
106 |
</style>
|
107 |
""", unsafe_allow_html=True)
|
108 |
|
109 |
# File to store chat history
|
110 |
HISTORY_FILE = "chat_history.json"
|
111 |
+
USERS_FILE = "online_users.json"
|
112 |
+
SESSIONS_FILE = "chat_sessions.json"
|
113 |
+
|
114 |
+
# ================= USER FUNCTIONS =================
|
115 |
+
|
116 |
+
def get_user_id():
|
117 |
+
"""Get unique ID for this user session"""
|
118 |
+
if 'user_id' not in st.session_state:
|
119 |
+
st.session_state.user_id = str(uuid.uuid4())[:8]
|
120 |
+
return st.session_state.user_id
|
121 |
+
|
122 |
+
def update_online_users():
|
123 |
+
"""Update user status"""
|
124 |
+
try:
|
125 |
+
# Load current users
|
126 |
+
users = {}
|
127 |
+
if os.path.exists(USERS_FILE):
|
128 |
+
with open(USERS_FILE, 'r') as f:
|
129 |
+
users = json.load(f)
|
130 |
+
|
131 |
+
user_id = get_user_id()
|
132 |
+
|
133 |
+
# Update user info
|
134 |
+
users[user_id] = {
|
135 |
+
'last_seen': datetime.now().isoformat(),
|
136 |
+
'name': f'User-{user_id}',
|
137 |
+
'session_start': users.get(user_id, {}).get('session_start', datetime.now().isoformat())
|
138 |
+
}
|
139 |
+
|
140 |
+
# Clean up old users (not seen in 5 minutes)
|
141 |
+
current_time = datetime.now()
|
142 |
+
active_users = {}
|
143 |
+
for uid, data in users.items():
|
144 |
+
try:
|
145 |
+
last_seen = datetime.fromisoformat(data['last_seen'])
|
146 |
+
if current_time - last_seen < timedelta(minutes=5):
|
147 |
+
active_users[uid] = data
|
148 |
+
except:
|
149 |
+
continue
|
150 |
+
|
151 |
+
# Save updated users
|
152 |
+
with open(USERS_FILE, 'w') as f:
|
153 |
+
json.dump(active_users, f, indent=2)
|
154 |
+
|
155 |
+
return len(active_users)
|
156 |
+
|
157 |
+
except Exception as e:
|
158 |
+
st.error(f"User tracking error: {e}")
|
159 |
+
return 1
|
160 |
+
|
161 |
+
def show_online_users():
|
162 |
+
"""Display online users count"""
|
163 |
+
st.header("π₯ Who's Online")
|
164 |
+
|
165 |
+
try:
|
166 |
+
if not os.path.exists(USERS_FILE):
|
167 |
+
st.info("No user data yet")
|
168 |
+
return 0
|
169 |
+
|
170 |
+
with open(USERS_FILE, 'r') as f:
|
171 |
+
users = json.load(f)
|
172 |
+
|
173 |
+
if not users:
|
174 |
+
st.info("No active users")
|
175 |
+
return 0
|
176 |
+
|
177 |
+
online_count = len(users)
|
178 |
+
|
179 |
+
# Show count
|
180 |
+
if online_count == 1:
|
181 |
+
st.success("π’ Just you online")
|
182 |
+
else:
|
183 |
+
st.success(f"π’ {online_count} people online")
|
184 |
+
|
185 |
+
st.divider()
|
186 |
+
|
187 |
+
# Show each user
|
188 |
+
current_user_id = get_user_id()
|
189 |
+
for user_id, data in users.items():
|
190 |
+
is_current_user = (user_id == current_user_id)
|
191 |
+
|
192 |
+
# User header
|
193 |
+
if is_current_user:
|
194 |
+
st.markdown("**π€ You**")
|
195 |
+
else:
|
196 |
+
st.markdown(f"**π€ {data.get('name', user_id)}**")
|
197 |
+
|
198 |
+
# Show session info
|
199 |
+
try:
|
200 |
+
session_start = datetime.fromisoformat(data['session_start'])
|
201 |
+
duration = datetime.now() - session_start
|
202 |
+
minutes = int(duration.total_seconds() / 60)
|
203 |
+
st.caption(f"π Online for {minutes} minutes")
|
204 |
+
except:
|
205 |
+
st.caption("π Session time unknown")
|
206 |
+
|
207 |
+
st.divider()
|
208 |
+
|
209 |
+
return online_count
|
210 |
+
|
211 |
+
except Exception as e:
|
212 |
+
st.error(f"Error showing users: {e}")
|
213 |
+
return 0
|
214 |
+
|
215 |
+
# ================= CHAT FUNCTIONS =================
|
216 |
|
217 |
def load_chat_history():
|
218 |
"""Load chat history from file"""
|
|
|
241 |
except Exception as e:
|
242 |
st.error(f"Error clearing chat history: {e}")
|
243 |
|
244 |
+
def load_chat_sessions():
|
245 |
+
"""Load all chat sessions"""
|
246 |
+
try:
|
247 |
+
if os.path.exists(SESSIONS_FILE):
|
248 |
+
with open(SESSIONS_FILE, 'r', encoding='utf-8') as f:
|
249 |
+
return json.load(f)
|
250 |
+
except Exception as e:
|
251 |
+
st.error(f"Error loading chat sessions: {e}")
|
252 |
+
return {}
|
253 |
+
|
254 |
+
def save_chat_sessions(sessions):
|
255 |
+
"""Save chat sessions to file"""
|
256 |
+
try:
|
257 |
+
with open(SESSIONS_FILE, 'w', encoding='utf-8') as f:
|
258 |
+
json.dump(sessions, f, ensure_ascii=False, indent=2)
|
259 |
+
except Exception as e:
|
260 |
+
st.error(f"Error saving chat sessions: {e}")
|
261 |
+
|
262 |
+
def get_session_id():
|
263 |
+
"""Get or create session ID"""
|
264 |
+
if 'session_id' not in st.session_state:
|
265 |
+
st.session_state.session_id = str(uuid.uuid4())
|
266 |
+
return st.session_state.session_id
|
267 |
+
|
268 |
+
def get_chat_title(messages):
|
269 |
+
"""Generate a title for the chat based on conversation content using AI"""
|
270 |
+
if not messages:
|
271 |
+
return "New Chat"
|
272 |
+
|
273 |
+
if len(messages) <= 1:
|
274 |
+
for msg in messages:
|
275 |
+
if msg["role"] == "user":
|
276 |
+
content = msg["content"]
|
277 |
+
if len(content) > 30:
|
278 |
+
return content[:30] + "..."
|
279 |
+
return content
|
280 |
+
return "New Chat"
|
281 |
+
|
282 |
+
try:
|
283 |
+
return generate_smart_title(messages)
|
284 |
+
except:
|
285 |
+
for msg in messages:
|
286 |
+
if msg["role"] == "user":
|
287 |
+
content = msg["content"]
|
288 |
+
if len(content) > 30:
|
289 |
+
return content[:30] + "..."
|
290 |
+
return content
|
291 |
+
return "New Chat"
|
292 |
+
|
293 |
+
def generate_smart_title(messages):
|
294 |
+
"""Use AI to generate a smart title for the conversation"""
|
295 |
+
if not OPENROUTER_API_KEY:
|
296 |
+
for msg in messages:
|
297 |
+
if msg["role"] == "user":
|
298 |
+
content = msg["content"]
|
299 |
+
if len(content) > 30:
|
300 |
+
return content[:30] + "..."
|
301 |
+
return content
|
302 |
+
return "New Chat"
|
303 |
+
|
304 |
+
conversation_text = ""
|
305 |
+
message_count = 0
|
306 |
+
|
307 |
+
for msg in messages:
|
308 |
+
if message_count >= 6:
|
309 |
+
break
|
310 |
+
if msg["role"] in ["user", "assistant"]:
|
311 |
+
role = "User" if msg["role"] == "user" else "Assistant"
|
312 |
+
content = msg["content"]
|
313 |
+
if "Response created by:" in content:
|
314 |
+
content = content.split("\n\n---\n*Response created by:")[0]
|
315 |
+
conversation_text += f"{role}: {content[:200]}...\n"
|
316 |
+
message_count += 1
|
317 |
+
|
318 |
+
title_prompt = f"""Based on this conversation, generate a short, descriptive title (2-5 words max):
|
319 |
+
|
320 |
+
{conversation_text}
|
321 |
+
|
322 |
+
Generate only a brief title that captures the main topic. Examples:
|
323 |
+
- "Python Code Help"
|
324 |
+
- "Recipe Ideas"
|
325 |
+
- "Travel Planning"
|
326 |
+
- "Math Problem"
|
327 |
+
- "Writing Assistance"
|
328 |
+
|
329 |
+
Title:"""
|
330 |
+
|
331 |
+
url = "https://openrouter.ai/api/v1/chat/completions"
|
332 |
+
headers = {
|
333 |
+
"Content-Type": "application/json",
|
334 |
+
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
|
335 |
+
"HTTP-Referer": "http://localhost:8501",
|
336 |
+
"X-Title": "Streamlit AI Assistant"
|
337 |
+
}
|
338 |
+
|
339 |
+
data = {
|
340 |
+
"model": "openai/gpt-3.5-turbo",
|
341 |
+
"messages": [{"role": "user", "content": title_prompt}],
|
342 |
+
"max_tokens": 20,
|
343 |
+
"temperature": 0.3,
|
344 |
+
"stream": False
|
345 |
+
}
|
346 |
+
|
347 |
+
try:
|
348 |
+
response = requests.post(url, headers=headers, json=data, timeout=10)
|
349 |
+
if response.status_code == 200:
|
350 |
+
result = response.json()
|
351 |
+
title = result["choices"][0]["message"]["content"].strip()
|
352 |
+
title = title.replace('"', '').replace("Title:", "").strip()
|
353 |
+
if len(title) > 40:
|
354 |
+
title = title[:40] + "..."
|
355 |
+
return title if title else "New Chat"
|
356 |
+
except Exception as e:
|
357 |
+
pass
|
358 |
+
|
359 |
+
for msg in messages:
|
360 |
+
if msg["role"] == "user":
|
361 |
+
content = msg["content"]
|
362 |
+
if len(content) > 30:
|
363 |
+
return content[:30] + "..."
|
364 |
+
return content
|
365 |
+
return "New Chat"
|
366 |
+
|
367 |
+
def save_current_session():
|
368 |
+
"""Save current chat session with smart AI-generated title"""
|
369 |
+
if not st.session_state.messages:
|
370 |
+
return
|
371 |
+
|
372 |
+
sessions = load_chat_sessions()
|
373 |
+
session_id = get_session_id()
|
374 |
+
|
375 |
+
user_messages = [msg for msg in st.session_state.messages if msg["role"] == "user"]
|
376 |
+
assistant_messages = [msg for msg in st.session_state.messages if msg["role"] == "assistant"]
|
377 |
+
|
378 |
+
if len(user_messages) >= 1 and len(assistant_messages) >= 1:
|
379 |
+
title = get_chat_title(st.session_state.messages)
|
380 |
+
else:
|
381 |
+
title = "New Chat"
|
382 |
+
if user_messages:
|
383 |
+
first_message = user_messages[0]["content"]
|
384 |
+
if len(first_message) > 30:
|
385 |
+
title = first_message[:30] + "..."
|
386 |
+
else:
|
387 |
+
title = first_message
|
388 |
+
|
389 |
+
sessions[session_id] = {
|
390 |
+
"title": title,
|
391 |
+
"messages": st.session_state.messages,
|
392 |
+
"created_at": sessions.get(session_id, {}).get("created_at", datetime.now().isoformat()),
|
393 |
+
"updated_at": datetime.now().isoformat()
|
394 |
+
}
|
395 |
+
|
396 |
+
save_chat_sessions(sessions)
|
397 |
+
|
398 |
+
def load_session(session_id):
|
399 |
+
"""Load a specific chat session"""
|
400 |
+
sessions = load_chat_sessions()
|
401 |
+
if session_id in sessions:
|
402 |
+
st.session_state.messages = sessions[session_id]["messages"]
|
403 |
+
st.session_state.session_id = session_id
|
404 |
+
return True
|
405 |
+
return False
|
406 |
+
|
407 |
+
def delete_session(session_id):
|
408 |
+
"""Delete a chat session"""
|
409 |
+
sessions = load_chat_sessions()
|
410 |
+
if session_id in sessions:
|
411 |
+
del sessions[session_id]
|
412 |
+
save_chat_sessions(sessions)
|
413 |
+
return True
|
414 |
+
return False
|
415 |
+
|
416 |
+
def start_new_chat():
|
417 |
+
"""Start a new chat session"""
|
418 |
+
if st.session_state.messages:
|
419 |
+
save_current_session()
|
420 |
+
st.session_state.messages = []
|
421 |
+
st.session_state.session_id = str(uuid.uuid4())
|
422 |
+
|
423 |
+
# Initialize session state
|
424 |
if "messages" not in st.session_state:
|
425 |
st.session_state.messages = load_chat_history()
|
426 |
|
427 |
+
if "session_id" not in st.session_state:
|
428 |
+
st.session_state.session_id = str(uuid.uuid4())
|
429 |
+
|
430 |
# Get API key
|
431 |
OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY")
|
432 |
|
|
|
442 |
except:
|
443 |
return "Error"
|
444 |
|
|
|
445 |
def get_ai_response(messages, model="openai/gpt-3.5-turbo"):
|
446 |
if not OPENROUTER_API_KEY:
|
447 |
return "No API key found. Please add OPENROUTER_API_KEY to environment variables."
|
448 |
+
|
449 |
url = "https://openrouter.ai/api/v1/chat/completions"
|
450 |
headers = {
|
451 |
"Content-Type": "application/json",
|
452 |
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
|
453 |
+
"HTTP-Referer": "http://localhost:8501",
|
454 |
+
"X-Title": "Streamlit AI Assistant"
|
455 |
}
|
456 |
+
|
457 |
+
api_messages = [
|
458 |
+
{"role": "system", "content": "You are a helpful AI assistant. Provide clear and helpful responses."}]
|
459 |
api_messages.extend(messages)
|
460 |
+
|
461 |
data = {
|
462 |
"model": model,
|
463 |
"messages": api_messages,
|
|
|
468 |
"frequency_penalty": 0,
|
469 |
"presence_penalty": 0
|
470 |
}
|
471 |
+
|
472 |
try:
|
473 |
response = requests.post(url, headers=headers, json=data, stream=True, timeout=60)
|
474 |
+
|
|
|
475 |
if response.status_code != 200:
|
476 |
error_detail = ""
|
477 |
try:
|
|
|
479 |
error_detail = error_data.get('error', {}).get('message', f"HTTP {response.status_code}")
|
480 |
except:
|
481 |
error_detail = f"HTTP {response.status_code}: {response.reason}"
|
|
|
482 |
yield f"API Error: {error_detail}. Please try a different model or check your API key."
|
483 |
return
|
484 |
+
|
485 |
full_response = ""
|
|
|
|
|
|
|
486 |
for line in response.iter_lines():
|
487 |
if line:
|
|
|
488 |
if line.startswith(b"data: "):
|
489 |
data_str = line[len(b"data: "):].decode("utf-8")
|
490 |
if data_str.strip() == "[DONE]":
|
|
|
495 |
if delta:
|
496 |
full_response += delta
|
497 |
yield full_response
|
498 |
+
except (json.JSONDecodeError, KeyError, IndexError):
|
499 |
continue
|
500 |
+
|
|
|
|
|
501 |
except requests.exceptions.Timeout:
|
502 |
yield "Request timed out. Please try again with a shorter message or different model."
|
503 |
except requests.exceptions.ConnectionError:
|
|
|
507 |
except Exception as e:
|
508 |
yield f"Unexpected error: {str(e)}. Please try again or contact support."
|
509 |
|
510 |
+
# ================= MAIN APP =================
|
511 |
+
|
512 |
# Header
|
513 |
+
st.title("Chat Flow π·")
|
514 |
+
st.caption("10 powerful Models, one simple chat.")
|
515 |
|
516 |
# Sidebar
|
517 |
with st.sidebar:
|
518 |
+
# New Chat Button (BLACK)
|
519 |
+
if st.button("β New Chat", use_container_width=True, type="primary"):
|
520 |
+
start_new_chat()
|
521 |
+
st.rerun()
|
522 |
+
|
523 |
+
st.divider()
|
524 |
+
|
525 |
+
# ONLINE USERS SECTION
|
526 |
+
online_count = show_online_users()
|
527 |
+
|
528 |
+
# Update user tracking
|
529 |
+
update_online_users()
|
530 |
|
531 |
+
# Quick refresh for users
|
532 |
+
if st.button("π Refresh Users", use_container_width=True):
|
533 |
+
st.rerun()
|
534 |
+
|
535 |
+
st.divider()
|
536 |
+
|
537 |
+
# Chat Sessions
|
538 |
+
sessions = load_chat_sessions()
|
539 |
+
current_session_id = get_session_id()
|
540 |
+
|
541 |
+
if sessions:
|
542 |
+
st.subheader("Previous Chats")
|
543 |
+
sorted_sessions = sorted(sessions.items(), key=lambda x: x[1].get("updated_at", x[1].get("created_at", "")), reverse=True)
|
544 |
+
|
545 |
+
for session_id, session_data in sorted_sessions:
|
546 |
+
if session_id == current_session_id:
|
547 |
+
st.markdown(f"πΉ **{session_data['title']}**")
|
548 |
+
else:
|
549 |
+
col_load, col_delete = st.columns([3, 1])
|
550 |
+
with col_load:
|
551 |
+
if st.button(f"π {session_data['title']}", key=f"load_{session_id}", use_container_width=True):
|
552 |
+
if st.session_state.messages:
|
553 |
+
save_current_session()
|
554 |
+
load_session(session_id)
|
555 |
+
st.rerun()
|
556 |
+
with col_delete:
|
557 |
+
if st.button("β", key=f"delete_{session_id}"):
|
558 |
+
delete_session(session_id)
|
559 |
+
if session_id == current_session_id:
|
560 |
+
start_new_chat()
|
561 |
+
st.rerun()
|
562 |
+
|
563 |
+
if "updated_at" in session_data:
|
564 |
+
update_time = datetime.fromisoformat(session_data["updated_at"])
|
565 |
+
st.caption(f"Updated: {update_time.strftime('%m/%d %H:%M')}")
|
566 |
+
st.markdown("---")
|
567 |
+
else:
|
568 |
+
st.info("No previous chats yet")
|
569 |
+
|
570 |
+
if st.session_state.messages:
|
571 |
+
save_current_session()
|
572 |
+
|
573 |
+
st.divider()
|
574 |
+
|
575 |
+
# Settings Section
|
576 |
+
st.header("Settings")
|
577 |
status = check_api_status()
|
578 |
if status == "Connected":
|
579 |
st.success("π’ API Connected")
|
|
|
581 |
st.error("No API Key")
|
582 |
else:
|
583 |
st.warning("Connection Issue")
|
584 |
+
|
585 |
st.divider()
|
586 |
+
|
587 |
+
# Model Selection
|
588 |
models = [
|
589 |
("GPT-3.5 Turbo", "openai/gpt-3.5-turbo"),
|
590 |
("LLaMA 3.1 8B", "meta-llama/llama-3.1-8b-instruct"),
|
|
|
597 |
("Gemma 3 4B", "google/gemma-3-4b-it:free"),
|
598 |
("Auto (Best Available)", "openrouter/auto")
|
599 |
]
|
600 |
+
|
601 |
model_names = [name for name, _ in models]
|
602 |
model_ids = [model_id for _, model_id in models]
|
603 |
+
|
604 |
+
selected_index = st.selectbox("Model", range(len(model_names)),
|
605 |
+
format_func=lambda x: model_names[x],
|
606 |
+
index=0)
|
607 |
selected_model = model_ids[selected_index]
|
608 |
+
|
609 |
# Show selected model ID in green
|
610 |
st.markdown(f"**Model ID:** <span class='model-id'>{selected_model}</span>", unsafe_allow_html=True)
|
611 |
+
|
612 |
st.divider()
|
613 |
+
|
614 |
# Chat History Controls
|
615 |
st.header("Chat History")
|
616 |
+
|
617 |
# Show number of messages
|
618 |
if st.session_state.messages:
|
619 |
st.info(f"Messages stored: {len(st.session_state.messages)}")
|
620 |
+
|
621 |
# Auto-save toggle
|
622 |
auto_save = st.checkbox("Auto-save messages", value=True)
|
623 |
+
|
624 |
# Manual save/load buttons
|
625 |
col1, col2 = st.columns(2)
|
626 |
with col1:
|
627 |
if st.button("Save History", use_container_width=True):
|
628 |
save_chat_history(st.session_state.messages)
|
629 |
st.success("History saved!")
|
630 |
+
|
631 |
with col2:
|
632 |
if st.button("Load History", use_container_width=True):
|
633 |
st.session_state.messages = load_chat_history()
|
634 |
st.success("History loaded!")
|
635 |
st.rerun()
|
636 |
+
|
637 |
st.divider()
|
638 |
+
|
639 |
# View History
|
640 |
if st.button("View History File", use_container_width=True):
|
641 |
if os.path.exists(HISTORY_FILE):
|
|
|
644 |
st.text_area("Chat History (JSON)", history_content, height=200)
|
645 |
else:
|
646 |
st.warning("No history file found")
|
647 |
+
|
648 |
# Download History
|
649 |
if os.path.exists(HISTORY_FILE):
|
650 |
with open(HISTORY_FILE, 'rb') as f:
|
|
|
655 |
mime="application/json",
|
656 |
use_container_width=True
|
657 |
)
|
658 |
+
|
659 |
st.divider()
|
660 |
+
|
661 |
# Clear controls
|
662 |
if st.button("Clear Chat", use_container_width=True, type="secondary"):
|
663 |
clear_chat_history()
|
664 |
st.success("Chat cleared!")
|
665 |
st.rerun()
|
666 |
|
667 |
+
# ================= MAIN CHAT AREA =================
|
|
|
|
|
668 |
|
669 |
# Display chat messages
|
670 |
for message in st.session_state.messages:
|
|
|
677 |
if len(parts) > 1:
|
678 |
model_name = parts[1].replace("***", "").replace("**", "")
|
679 |
st.markdown(main_content)
|
680 |
+
st.markdown(
|
681 |
+
f"<div class='model-attribution'>Response created by: <strong>{model_name}</strong></div>",
|
682 |
+
unsafe_allow_html=True)
|
683 |
else:
|
684 |
st.markdown(message["content"])
|
685 |
else:
|
686 |
st.markdown(message["content"])
|
687 |
|
688 |
+
# Chat input - MAIN CHAT FUNCTIONALITY
|
689 |
+
if prompt := st.chat_input("Chat Smarter. Chat many Brains"):
|
690 |
+
# Update user tracking when user sends message
|
691 |
+
update_online_users()
|
692 |
+
|
693 |
# Add user message
|
694 |
user_message = {"role": "user", "content": prompt}
|
695 |
st.session_state.messages.append(user_message)
|
696 |
+
|
697 |
# Auto-save if enabled
|
698 |
+
if 'auto_save' not in locals():
|
699 |
+
auto_save = True
|
700 |
+
|
701 |
if auto_save:
|
702 |
save_chat_history(st.session_state.messages)
|
703 |
|
704 |
+
# Always auto-save the current session
|
705 |
+
save_current_session()
|
706 |
+
|
707 |
# Display user message
|
708 |
with st.chat_message("user"):
|
709 |
st.markdown(prompt)
|
710 |
+
|
711 |
# Get AI response
|
712 |
with st.chat_message("assistant"):
|
713 |
placeholder = st.empty()
|
714 |
+
|
715 |
full_response = ""
|
716 |
try:
|
717 |
for response in get_ai_response(st.session_state.messages, selected_model):
|
718 |
full_response = response
|
719 |
placeholder.markdown(full_response + "β")
|
720 |
+
|
721 |
# Remove cursor and show final response
|
722 |
placeholder.markdown(full_response)
|
723 |
+
|
724 |
except Exception as e:
|
725 |
error_msg = f"An error occurred: {str(e)}"
|
726 |
placeholder.markdown(error_msg)
|
727 |
full_response = error_msg
|
728 |
+
|
729 |
# Add AI response to messages with attribution
|
730 |
full_response_with_attribution = full_response + f"\n\n---\n*Response created by: **{model_names[selected_index]}***"
|
731 |
assistant_message = {"role": "assistant", "content": full_response_with_attribution}
|
732 |
st.session_state.messages.append(assistant_message)
|
733 |
+
|
734 |
# Auto-save if enabled
|
735 |
if auto_save:
|
736 |
save_chat_history(st.session_state.messages)
|
737 |
+
|
738 |
+
# Always auto-save the current session
|
739 |
+
save_current_session()
|
740 |
|
741 |
# Show currently using model
|
742 |
st.caption(f"Currently using: **{model_names[selected_index]}**")
|