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Update app.py
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app.py
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#
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# 1️⃣ Keep your existing helper (unchanged)
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# ────────────────────────────────────────────────────────────────────────────
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Return the current local time
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try:
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tz = pytz.timezone(timezone)
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return local_time
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except Exception as e:
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return f"Error: {e}"
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#
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# 2️⃣ New tool: find the first 30-minute slot that fits everyone’s workday
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# ────────────────────────────────────────────────────────────────────────────
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@tool
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def find_overlap_slot(
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timezones: List[str],
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slot_minutes: int = 30
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) -> str:
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"""
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Find the next common slot
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Args:
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timezones:
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workday_start:
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slot_minutes: Length of slot to find (default 30)
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Returns:
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Human-readable description of the first viable slot, or error msg.
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"""
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# 1. Build a list of "free intervals" for each participant
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now_utc = datetime.datetime.utcnow().replace(tzinfo=pytz.utc)
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for tz_name in timezones:
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try:
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return f"Unknown timezone: {tz_name}"
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local_now = now_utc.astimezone(tz)
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# Next work-day window
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start_local = local_now.replace(hour=workday_start, minute=0, second=0, microsecond=0)
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end_local = local_now.replace(hour=workday_end, minute=0, second=0, microsecond=0)
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start_local += datetime.timedelta(days=1)
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end_local += datetime.timedelta(days=1)
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elif local_now > start_local:
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start_local = local_now
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candidates.append((
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start_local.astimezone(pytz.utc),
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end_local.astimezone(pytz.utc)
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))
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slot_end = min(interval[1] for interval in candidates)
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if slot_end - slot_start < datetime.timedelta(minutes=slot_minutes):
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return "No overlapping work-hour slot found in the next day."
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chosen_start = slot_start
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chosen_end = slot_start + datetime.timedelta(minutes=slot_minutes)
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f"
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f" • UTC: {chosen_start.strftime('%Y-%m-%d %H:%M')} – {chosen_end.strftime('%H:%M')}"
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]
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for tz_name in timezones:
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tz = pytz.timezone(tz_name)
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return "\n".join(
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#
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# app.py ─────────────────────────────────────────────────────────────────────
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# 1. Bootstrap: import-or-install helper
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import importlib, subprocess, sys, datetime, os
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from typing import List, Tuple
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def ensure(pkg: str, version: str | None = None):
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"""Import a package, or pip-install it if missing, then import again."""
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try:
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return importlib.import_module(pkg)
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except ModuleNotFoundError:
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target = f"{pkg}=={version}" if version else pkg
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print(f"[bootstrap] Installing {target} …", flush=True)
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subprocess.check_call([sys.executable, "-m", "pip", "install", target])
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return importlib.import_module(pkg)
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# 2. Ensure dependencies
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pytz = ensure("pytz")
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langchain = ensure("langchain", "0.1.16") # pinned, stable API
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langchain_openai = ensure("langchain-openai") # latest OK
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from langchain.tools import tool
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from langchain_openai import ChatOpenAI
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from langchain.agents import Tool, AgentExecutor, create_openai_functions_agent
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# 3. Tool: current time in timezone
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Return the current local time (YYYY-MM-DD HH:MM:SS) in a given timezone."""
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try:
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tz = pytz.timezone(timezone)
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return datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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except Exception as e:
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return f"Error: {e}"
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# 4. Tool: find overlapping stand-up slot
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@tool
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def find_overlap_slot(
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timezones: List[str],
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slot_minutes: int = 30
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) -> str:
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"""
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Find the next common slot across multiple time-zones.
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Args:
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timezones: list of IANA tz strings
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workday_start / workday_end: local work hours (inclusive start, exclusive end)
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slot_minutes: length of slot
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"""
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now_utc = datetime.datetime.utcnow().replace(tzinfo=pytz.utc)
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intervals: List[Tuple[datetime.datetime, datetime.datetime]] = []
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for tz_name in timezones:
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try:
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return f"Unknown timezone: {tz_name}"
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local_now = now_utc.astimezone(tz)
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start_local = local_now.replace(hour=workday_start, minute=0, second=0, microsecond=0)
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end_local = local_now.replace(hour=workday_end, minute=0, second=0, microsecond=0)
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# move window to tomorrow if current time past work hours
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if local_now >= end_local:
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start_local += datetime.timedelta(days=1)
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end_local += datetime.timedelta(days=1)
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elif local_now > start_local:
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start_local = local_now # cannot schedule in the past
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intervals.append((start_local.astimezone(pytz.utc), end_local.astimezone(pytz.utc)))
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slot_start = max(iv[0] for iv in intervals)
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slot_end = min(iv[1] for iv in intervals)
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if slot_end - slot_start < datetime.timedelta(minutes=slot_minutes):
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return "No overlapping work-hour slot found in the next day."
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chosen_end = slot_start + datetime.timedelta(minutes=slot_minutes)
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lines = [
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f"Proposed {slot_minutes}-minute stand-up:",
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f"• UTC: {slot_start.strftime('%Y-%m-%d %H:%M')} – {chosen_end.strftime('%H:%M')}"
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]
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for tz_name in timezones:
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tz = pytz.timezone(tz_name)
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local_start = slot_start.astimezone(tz).strftime('%Y-%m-%d %H:%M')
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local_end = chosen_end.astimezone(tz).strftime('%H:%M')
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lines.append(f"• {tz_name}: {local_start} – {local_end}")
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return "\n".join(lines)
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# 5. Build LangChain tools list
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tools = [
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Tool.from_function(
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func=find_overlap_slot,
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name="find_overlap_slot",
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description=(
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"Find a meeting slot. Args: timezones (List[str]), "
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"workday_start, workday_end, slot_minutes."
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),
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),
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Tool.from_function(
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func=get_current_time_in_timezone,
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name="get_current_time_in_timezone",
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description="Return current local time for a timezone.",
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),
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]
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# 6. Create the agent
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openai_api_key = os.getenv("OPENAI_API_KEY") or "sk-..." # replace or set as HF secret
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llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0, api_key=openai_api_key)
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agent = create_openai_functions_agent(llm, tools)
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agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=False)
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# 7. Minimal Gradio interface
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import gradio as gr
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def chat_agent(user_input, history):
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"""Wrapper to make the agent compatible with Gradio ChatInterface."""
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result = agent_executor.invoke({"input": user_input})
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return result["output"]
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with gr.Blocks() as demo:
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gr.Markdown("# 🕒 Time-zone Helper Agent")
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gr.ChatInterface(chat_agent)
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# 8. Launch if running locally; HF Spaces ignores this in production
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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