app.py

import os
from openai import OpenAI
import gradio as gr
import uuid
import chromadb
from pprint import pprint
import json
import requests
import random

#----------------------------------------------
# setup
#----------------------------------------------
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
if OPENAI_API_KEY is None:
    raise Exception("API key is missing")
client = OpenAI()

#----------------------------------------------
# Documents
#----------------------------------------------
document_overview = """
Max is a Senior Technical Program Manager and Director of Program Management based in Los Angeles. 
She is Korean-English bilingual with deep ties to Korean culture and business networks. 
She runs an S-Corp consulting practice and is Co-Founder & CTO of MarketUnlock, 
an early-stage fintech platform targeting the Korean private equity market.

Her background spans enterprise transformation, global platform delivery, 
and post-M&A program management across companies like Logitech International, Careismatic Brands, and Hyundai Motor Company.
She holds a Computer Science degree and a Prosci ADKAR change management certification.

Career highlights:
- 2022-2026 : Logitech International: Led enterprise transformation and global platform delivery
- 2020-2022 : Careismatic Brands: Built and ran the PMO post-M&A, led an e-commerce platform migration from Magento to Salesforce Commerce Cloud, compressed from an 18-month plan to a 2-month execution
- 2018-2020 : Hyundai Motor Company (external consultant): PM on global AEM web platform standardization across multiple markets
- 2026-2026 : MarketUnlock: Co-Founder & CTO, building a fintech platform for the Korean private equity market.

What drives her: She loves bringing order to complex, ambiguous programs and making transformation feel 
manageable for the people living through it. She believes good program management is equal parts systems 
thinking and human empathy.

Her approach: Structured but flexible. She leads with frameworks and clear decision points, 
but adapts fast when the ground shifts. She has a track record of delivering under pressure 
and across cultures.

Communication style: Direct, warm, and confident. She does not over-explain, 
but she also does not leave people behind. Bilingual in Korean and English, and culturally fluent in both. 
Comfortable in the board room and in the weeds of a delivery sprint.

Currently: Actively exploring Senior Program Manager, Director of Program Management, Engagement Manager, 
and enterprise transformation roles — LA hybrid or US remote — with a focus on tech, healthcare tech, SaaS, 
and fintech. Open to networking conversations, recruiter discussions, and strategic partnership opportunities related to MarketUnlock.

Additional info:
- In 2015, Max was actively figuring out life.
- Max loves dogs and cats and has a dog named Bacon.
- Max enjoys a good cup of coffee in the morning. she is a caffeine addict, needs 10 cups a day. \
The reason Max drinks so much coffee is because she needs the energy to manage her busy schedule \
and multiple projects. Coffee helps her stay focused and productive throughout the day.\
she also loves the bitter taste of coffee and the ritual of brewing it in the morning.***",
- Max hates vegetables but eats them for the sake of her health. \
She particularly dislikes broccoli and spinach, but will eat them if they are cooked in a way \
that makes them more palatable, such as roasted with garlic and olive oil. \
Max tries to incorporate vegetables into her meals whenever possible, \
even if it's just a small side dish, because she knows they are important for her overall well-being.

"""

document_education = """
Formal Education
Bachelor of Engineering, Computer Science
Kwang-Ju Women's University, South Korea
A technical foundation in computer science that underpins 15+ years of leading enterprise platform programs, systems integrations,\
     and digital transformation initiatives. The engineering background provides the credibility to operate at the intersection of\
        business strategy and technical delivery, enabling productive collaboration with engineering teams without needing translation.

Professional Certifications
Prosci Change Management Professional Certificate, AI Adoption | 2025
Credential in the ADKAR methodology, the industry standard framework for organizational change management.\
    Directly applicable to enterprise transformation programs where technology adoption is only half the equation.
Google Generative AI Leader Professional Certificate | 2025
Focuses on AI strategy, responsible AI principles, and leading AI-enabled transformation within organizations.\
    Positions the holder to advise on AI adoption at the program and organizational level, not just the tool level.
Google Project Management Professional Certificate | 2023
Covers the full project lifecycle, stakeholder management, and delivery frameworks across Agile and traditional methodologies.
Superdatascience AI Cohort 4 | 2026
Hands-on AI training cohort covering applied machine learning concepts and practical AI implementation.

Applied Learning in Practice
Formal credentials are reinforced by direct delivery experience: a global e-commerce platform rollout across 102 sites in 45 markets\
      at Logitech, a post-acquisition PMO build at Careismatic Brands, and an enterprise AEM deployment at Hyundai Motor Company. \
        The combination of a CS engineering degree with practitioner-level change management certification is a differentiator\
              in senior program roles that require both technical fluency and organizational leadership."""

document_professional_experience = """
DAL RAE MAXINE JIN
Enterprise Program & Transformation Leader  |  Senior PM / Director / Change Management / Engagement Manager
Los Angeles, CA  |  linkedin.com/in/mx-j  |  English & Korean

MASTER RESUME — superset of all bullets across all versions. The workflow tailors this per job. Do not submit as-is. Contains ALL content including version-specific bullets marked [CONTEXT].

PROFESSIONAL SUMMARY
Enterprise Program and Transformation Leader with 12+ years driving large-scale, multi-million-dollar programs across global, matrixed organizations. Proven record of recovering high-risk programs, establishing PMO governance from scratch, and delivering measurable outcomes across 100+ international markets. Prosci-certified change practitioner with hands-on ADKAR application across ERP, commerce, and middleware transformations. Bilingual English-Korean operator with deep cross-cultural fluency across US and Korean business environments. Computer Science degree underpins technical credibility across engineering, data, and platform discussions.
Known for walking into broken, high-pressure programs and leaving them in better shape — with governance that works, teams that are aligned, and numbers that moved.

CORE COMPETENCIES
✓  Enterprise PMO Governance & Build-Out	✓  Cross-Functional Program Recovery	✓  Prosci ADKAR Change Management
✓  Executive Steering Committee Reporting	✓  Post-Merger M&A Systems Integration	✓  Global Multi-Market Delivery (100+ markets)
✓  Payments Infrastructure & Merchant Ops	✓  Incident Management & Sev Classification	✓  Organizational Readiness & Adoption
✓  Roadmap Sequencing & Dependency Mgmt	✓  Vendor & Budget Accountability	✓  AI Adoption & Workflow Integration
✓  SDLC Governance (Agile / Hybrid / ITIL)	✓  Data Governance & KPI Frameworks	✓  Bilingual: English & Korean

PROFESSIONAL EXPERIENCE
MarketUnlock
Strategic Advisor  |  Los Angeles, CA (Remote)  |  August 2025 – Present
•	Advising an early-stage fintech startup on platform strategy, AI/ML pricing models, LLM-based market intelligence architecture, and go-to-market execution targeting Korea's private equity market.
•	[CONTEXT — fintech/startup roles] Integrating AI/ML models for private market pricing analysis and LLMs for automated market intelligence — built on AI-assisted development workflows and cloud-native data architecture.
•	[CONTEXT — fintech/startup roles] Participating in the Antler Accelerator cohort; advancing early-stage investor engagement and strategic partnership development within the Korean fintech ecosystem.

Logitech International
Technical Program Manager, Enterprise Architecture – IT  |  Los Angeles, CA (Remote)  |  April 2022 – October 2025
Recruited to recover and lead a high-risk $4M+ global commerce and payments transformation spanning 102 websites across 45 locales — a program with no existing governance, documentation, or incident response structure. Reporting directly to VP-level leadership.
•	Established comprehensive PMO governance framework from scratch — defining scope baselines, milestone tracking, dependency maps, risk registers, escalation pathways, and executive reporting cadences, creating the single source of truth across all workstreams.
•	[CONTEXT — delivery/technical roles] Rebuilt the delivery plan with hardening, gated SIT and UAT entry and exit criteria, go-live and rollback readiness, and a phased rollout by highest-impact countries to reduce release risk.
•	[CONTEXT — delivery/technical roles] Secured incremental budget by presenting a data-backed readiness and risk case and negotiating scope tradeoffs with senior stakeholders.
•	Led emergency Merchant-of-Record migration following provider bankruptcy — diagnosed dependencies across SFCC, MuleSoft, Oracle ERP, and Zendesk, executed a phased cutover with formal go/no-go checkpoints and rollback plans, and restored global order processing across 45 markets within 14 days with zero sustained revenue disruption.
•	[CONTEXT — change mgmt roles] Applied Prosci ADKAR methodology to sequence change interventions across engineering, operations, finance, and regional teams — mapping organizational readiness gaps and designing targeted engagement and reinforcement plans prior to each go-live.
•	[CONTEXT — change mgmt roles] Conducted change impact assessments across the enterprise commerce ecosystem, documenting as-is and future-state workflows, role shifts, and ownership changes to prepare stakeholders for transition.
•	[CONTEXT — change mgmt roles] Standardized post-go-live hypercare routines including structured issue intake, ownership definition, and recurring system health reviews to reinforce sustainable adoption and close feedback loops across global stakeholders.
•	Mapped end-to-end commerce and payments architecture across SFCC, MuleSoft, Oracle ERP, payment providers, and Zendesk — identified systemic integration gaps and sequenced remediation by revenue exposure and operational risk.
•	[CONTEXT — payments/fintech roles] Designed and drove ratification of a Sev 1-5 incident classification framework including ticketing infrastructure, response time standards by severity tier, and on-call operating model — adopted across enterprise engineering teams.
•	Reduced order fallout by 40% and improved operational response time by 30% through KPI dashboards built on Snowflake, Tableau, and Sumo Logic.
•	[CONTEXT — e-commerce / operations roles] Contributed to business growth from $23M to $128M by leading transition from third-party hosted platform to in-house SFCC — unlocking targeted marketing capabilities and commercial agility for business and marketing teams.
•	[CONTEXT — e-commerce / operations roles] Reduced shipping solution costs by 91% by identifying, proposing, and leading end-to-end vendor transition from Narvar to Bringg — owned contract negotiation through implementation and support handoff while adding real-time shipping capabilities.
•	[CONTEXT — technical PM roles] Directed engineering pod of 9 (2 solution architects, 1 development lead, 6 engineers) through full SDLC including roadmap sequencing, milestone definition, SIT/UAT, release readiness, and global deployment orchestration across 45 locales.
•	[CONTEXT — AI-forward roles] Led team-wide AI adoption initiative — mentored engineering and architecture teams on AI-assisted development using Roo Code, and integrated ChatGPT and Gemini into program management, documentation, and SDLC workflows.
•	[CONTEXT — marketing/platform roles] Piloted AI tool adoption within the program management team, testing AI-assisted workflows for documentation, status reporting, and program tracking to evaluate productivity impact across delivery operations.
•	Implemented new Product Information Management (PIM) system with full data governance controls — enhancing product data accuracy, regulatory compliance, and operational visibility across 45 locales.
Impact: Recovered and institutionalized governance across a complex global transformation. Awarded Logitech IT Leadership Business Excellence Award and 'Decide and Do' Spotlight Recognition within 90 days of joining.

Careismatic Brands, Inc.
Director, E-Commerce Technologies and Program Management  |  Los Angeles, CA  |  May 2019 – October 2021
Brought in to stabilize at-risk commerce programs and lead enterprise technology modernization across multiple acquired nine-figure business units in a rapidly scaling multi-brand organization. Built and managed a direct team while overseeing vendor partnerships and cross-org execution.
•	Established program governance framework from scratch — defining intake processes, RACI ownership models, release readiness criteria, milestone tracking, risk escalation pathways, and cross-functional reporting cadences across engineering, finance, and operations.
•	Directed post-M&A integration of legacy platforms into a unified NetSuite ERP, SFCC, and OMS environment — including warehouse consolidation into Careismatic's central distribution operation, maintaining data integrity and operational continuity throughout.
•	[CONTEXT — SFCC roles] Led the migration from Magento to Salesforce Commerce Cloud for the company's flagship brand, owning platform selection, delivery, data migration, checkout, pricing, promotions, and OMS integrations.
•	Accelerated platform delivery from 18 months to 2 months by removing critical dependencies, renegotiating vendor delivery models, and implementing structured sprint governance.
•	Reduced product lifecycle cycle time from 120 days to 21 days and lowered development costs by 66% through integration redesign, process re-engineering, and disciplined execution governance.
•	[CONTEXT — change mgmt roles] Developed and executed change management strategies for NetSuite ERP integration programs — including stakeholder analysis, impact assessment, training strategy, and adoption measurement across multiple acquired brands.
•	[CONTEXT — change mgmt roles] Conducted organizational readiness assessments post-M&A to identify role ownership gaps, process misalignment, and resistance hotspots — then designed structured engagement plans to accelerate cross-functional alignment.
•	Negotiated and managed multi-vendor contracts and SOWs, reducing development costs by 66% while maintaining full delivery accountability and financial oversight across nine-figure business units.
•	Facilitated executive roadmap alignment sessions to sequence multi-initiative transformation programs based on system dependencies, resource constraints, and business value — aligning leadership on tradeoffs and priorities.
Impact: Standardized operating models post-M&A, accelerating delivery velocity and materially improving cost efficiency. Elevated to oversee e-commerce for the company's top brand within 6 months.

E-Commerce Consulting (Independent)
Founder and Transformation Lead  |  Los Angeles, CA  |  March 2014 – April 2019
Founded and led a multi-platform digital transformation consulting practice delivering enterprise platform implementations and turnaround programs across North America and international markets.
•	Managed full program lifecycle from chartering, SOW negotiation, and scoping through deployment, stabilization, and post-launch optimization — with direct accountability for scope, budget, risk, vendor governance, and executive communication.
•	Accredited Shopify Expert; led full lifecycle implementations across SFCC, Magento, and Shopify for DTC and wholesale brands across fashion, beauty, manufacturing, and consumer goods segments.
•	[CONTEXT — change mgmt roles] Facilitated executive discovery workshops to define future-state processes, clarify scope, establish success metrics, and align stakeholders on transformation objectives before committing to implementation roadmaps.
•	Built repeatable delivery playbooks and governance frameworks to standardize execution practices, improve on-time delivery rates, and sustain results post-launch across concurrent client programs.
•	Served as primary executive point of contact, owning delivery outcomes and stakeholder relationships across multiple active engagements simultaneously.

Hyundai Motor Company
Project Manager, Global Web Platform Initiatives  |  Seoul, South Korea  |  December 2017 – March 2018
•	Supported enterprise Adobe AEM rollout across global regional subsidiaries (India, Australia) — leading requirements validation, organizational readiness assessment, and cross-functional implementation alignment between headquarters and international stakeholders.
•	Facilitated cross-regional decision-making within complex corporate governance structures, navigating multi-layer approval processes to advance platform standardization.

EARLY CAREER
Project Manager, E-Commerce & Business Development — John Ruvin & Co. | MS Bionic Inc. | Aurora Pearls Inc. | Illadiance  (2009–2016)
•	[CONTEXT — operations/e-commerce roles] Aurora Pearls Inc.: Rebuilt US market strategy, restructured operations and logistics — grew revenue by 400% within 90 days.
•	[CONTEXT — operations/e-commerce roles] MS Bionic Inc.: Launched first e-commerce business including US and Korean marketplace expansion; built FDA & MFDS compliance center of excellence.
•	[CONTEXT — operations/e-commerce roles] John Ruvin & Co.: Led 15-person internal/offshore team to re-platform and launch D2C e-commerce in 12 months.

EDUCATION
Bachelor of Engineering, Computer Science  |  Kwang-Ju Women's University, South Korea

CERTIFICATIONS
•	Prosci Change Management Professional Certificate, AI Adoption  |  2025
•	Google Generative AI Leader Professional Certificate  |  2025
•	Google Project Management Professional Certificate  |  2023
•	Superdatascience AI Cohort 4  |  2026  [CONTEXT — AI-forward roles]

TECHNICAL ENVIRONMENT
Commerce Platforms	Salesforce Commerce Cloud (SFCC/Demandware), Adobe Commerce (Magento 2 Enterprise), Shopify Plus, Adobe AEM
Enterprise Systems	Oracle ERP, NetSuite, MuleSoft, Workato, OMS (SFOMS, Jesta), inriver PIM, Zendesk
Payments & Fintech	Merchant-of-Record platforms, payment provider integrations, order-to-cash workflows, transaction monitoring
Analytics & Monitoring	Snowflake, Tableau, Sumo Logic — data governance dashboards, operational KPI monitoring
Program Management	Jira, Confluence, Smartsheet, MS Project, Asana, Trello
Collaboration	Slack, G-Suite / Google Workspace, Microsoft Teams, SharePoint, Figma
AI & Automation	ChatGPT, Gemini, Roo Code, AI-assisted SDLC workflows, LLM integration, Generative AI adoption
Marketplaces	[CONTEXT] Amazon, eBay, Walmart

WORKFLOW NOTES — HOW TO USE THIS MASTER
[CONTEXT — role type] tags indicate bullets that should surface for specific job categories. The Cowork workflow reads resume_angle from the scoring step and leads with the relevant section. Remove all [CONTEXT] tags and workflow notes before submitting any version.

Role type tag	Include these bullets when targeting...
[CONTEXT — change mgmt roles]	Adobe, Director of Change Management, OCM, Organizational Change Leader titles
[CONTEXT — payments/fintech roles]	PayPal, Coinbase, Whatnot, Stripe, fintech platforms, financial services
[CONTEXT — technical PM roles]	Staff TPM, Principal TPM, Lead TPM, Sr. TPM with engineering emphasis
[CONTEXT — delivery/technical roles]	WWT, consulting firms, delivery manager roles, professional services
[CONTEXT — e-commerce / operations roles]	McMaster-Carr, operations-heavy roles, fulfillment, supply chain adjacent
[CONTEXT — SFCC roles]	Salesforce partner roles, SFCC implementation, consumer goods, MARS
[CONTEXT — marketing/platform roles]	ServiceNow, marketing PM, digital experience platform roles
[CONTEXT — AI-forward roles]	Tech companies emphasizing AI transformation, product-adjacent roles

"""
#----------------------------------------------
# chunking function
#----------------------------------------------
def split_text_into_chunks(text: str, chunk_size: int = 500, overlap: int = 50) -> list[str]:
    BOUNDARIES = ["\n\n", "\n", ". ", "? ", "! ", " "]
    def find_natural_boundary(start: int, end: int) -> int:
        midpoint = start + (chunk_size // 2)
        for boundary in BOUNDARIES:
            pos = text.rfind(boundary, midpoint, end)
            if pos != -1:
                return pos + len(boundary)
        return end

    chunks = []
    start = 0
    while start < len(text):
        end = min(start + chunk_size, len(text))
        if end < len(text):
            end = find_natural_boundary(start, end)
        chunks.append(text[start:end])
        if end >= len(text):
            break
        start = max(start + 1, end - overlap)
    return chunks
#----------------------------------------------
# RAG: Chunk, Embed & Store in ChromaDB
#----------------------------------------------
documents = [
    {"text": document_overview, "source": "Overview"},
    {"text": document_education, "source": "Education"},
    {"text": document_professional_experience, "source": "Professional Experience"}
]

chunks = []
ids = []
metadatas = []

for doc in documents:
    #prepare the lists
    chunks_ = split_text_into_chunks(doc["text"], chunk_size=300, overlap=30)
    ids_ = [str(uuid.uuid4()) for _ in range(len(chunks_))]
    metadatas_ = [{"source": doc["source"], "chunk_index": i} for i in range(len(chunks_))]

    #add to main lists
    chunks.extend(chunks_)
    ids.extend(ids_)
    metadatas.extend(metadatas_)

#print for logs
print(f"Created {len(chunks)} chunks:\n")

for i, chunk in enumerate(chunks):
    print(f"Chunk {i+1} (ID: {ids[i]}, Source: {metadatas[i]['source']}, Index: {metadatas[i]['chunk_index']}, Length: {len(chunk)}")
    print(chunk)
    print()

#generate embeddings for all chunks
response = client.embeddings.create(
    model = "text-embedding-3-small",
    input = chunks
)
embeddings = [item.embedding for item in response.data]

#Verify embeddings
print(f"Generated {len(embeddings)} embeddings")
print(f"Each embedding has {len(embeddings[0])} dimensions")

#initialize chromadb client (persistant storage)
chroma_client = chromadb.PersistentClient(path="./chroma_db_twin")
#alternative : initialize chromadb client (persistant storage)
#chroma_client = chromadb.Client()

collection = chroma_client.get_or_create_collection(name="digital_twin")
#get or create + empty the collection before adding new daya (for testing purposes)
if collection.get()["ids"]:
    collection.delete(collection.get()["ids"])

#adding data to chromadb collection
collection.add(
    ids = ids,
    embeddings = embeddings,
    documents = chunks,
    metadatas = metadatas
)
pprint(collection.get())

#----------------------------------------------
# Tools
#----------------------------------------------
tools = []

pushover_user = os.getenv("PUSHOVER_USER")
pushover_token = os.getenv("PUSHOVER_TOKEN")
pushover_url = "https://api.pushover.net/1/messages.json"

#create send_notification function
def send_notification(message: str):
    if pushover_user is None or pushover_token is None: #handling of potential missing credentials
        return "Notification failed: Pushover not configured."
    payload = {"user": pushover_user, "token": pushover_token, "message": message}
    requests.post(pushover_url, data=payload)
    return f"Notification sent: {message}"

#describe pushover as an LLM tool
send_notification_function = {
    "name": "send_notification",
    "description": "Sends a push notification to the real Maxine. Use this when:\
          1) Someone wants to get in touch, hire, or collaborate\
          - ask for their name and contact details first, then send notificiation to Maxine with the name and contact details.\
          2) You dont know the answer to a question about Maxine - send AUTOMATICALLY without asking, include the question so she can add this info later.",
    "parameters": {
        "type": "object",
        "properties": {
            "message": {
                "type": "string", "description": "The message to send as a notification."}
        },
        "required": ["message"]
    }
}
#add pushover to the list of tools for the LLM
tools.append({"type":"function", "function":send_notification_function})

#simulates rolling a single six sided dice
def dice_roll():
    result = random.randint(1, 6)
    return result

#describe function for the llm
roll_dice_function = {
    "name": "dice_roll",
    "description": "simulates rolling a single six-sided dice and returns the result. Use this when the user wants to roll a dice for games, decisions, or random number generation.",
    "parameters": {
        "type": "object",
        "properties": {},
        "required": []
    }   
}

#add function to list of tools of LLM
tools.append({"type":"function", "function":roll_dice_function})

#----------------------------------------------
# Tool handler
#----------------------------------------------
def handle_tool_call(tool_calls):
    tool_results = []

    for tool_call in tool_calls: #assuming just one tool call
        function_name = tool_call.function.name
        args = json.loads(tool_call.function.arguments)
        #print(f"Calling function {function_name}") #for future debugging

        #route to the appropriate function based on function_name
        if function_name == "send_notification":
            content = send_notification(args["message"])            
        elif function_name == "dice_roll":            
            content = f"Rolled: {dice_roll()}"

        #elif function_name == "insert_function_name_3":
        # content = insert_function_name_3(args["message"])
        #...
        else:
            content = f"Unknown function: {function_name}"

        tool_call_result = {
            "role": "tool",
            "content": content,
            "tool_call_id": tool_call.id    
        }
        tool_results.append(tool_call_result)

    return tool_results

#----------------------------------------------
# System message
#----------------------------------------------

system_message ="""You are a digital twin of Max Jin (Dal Rae Maxine Jin). 
When people talk to you, you respond AS Max — in first person, using her voice, personality, and knowledge.

Important: do not make things up. If you dont know an answer, say you dont know.
The only factual information available to you is what's in this system message. 
You cannot get any more facts about Max from the internet or make them up.

IMPORTANT: Whenever you dont know something about Maxine,
ALWYAYS use the send_notification tool to alert the real Maxine - do this automatically without asking the user.
"""

#----------------------------------------------
# Main response function
#----------------------------------------------

def respond_ai(message, history): 
    #RAG: Embed the query using the same model we used for the chunks to ensure compatibility
    response = client.embeddings.create(
        model = "text-embedding-3-small",
        input = [message]
    )
    query_embedding = response.data[0].embedding

    #RAG: Search ChromaDB
    results = collection.query(
        query_embeddings=query_embedding,
        n_results=3
    )

    #RAG: stitch retrieved chunks together to create the context for the response
    context = "\n---\n".join(results["documents"][0])

    #print logs for debugging
    print("\n===================\n")
    print(f"User message:\n{message}\n")
    print("***Retrieved Chunks:")
    for a, b in zip(results["documents"][0], results["metadatas"][0]):
        print("---------------------------")
        print(f"<<Document {b['source']} -- Chunk: {b['chunk_index']}>>\n{a}\n")
    
    #update system message with context (for this conversation turn)
    system_message_enhanced = system_message + "\n\nContext:\n" + context  

    #build messages for this turn
    messages = [{"role": "system", "content": system_message_enhanced}] + history + [{"role": "user", "content": message}]
   
    #call LLM
    response = client.chat.completions.create(
        model="gpt-4.1-mini",
        messages=messages,
        tools=tools,      
    )
    message = response.choices[0].message

    #Check if model wants to call a tool
    while message.tool_calls:
        pprint(message.tool_calls)

        tool_result = handle_tool_call(message.tool_calls) #whole list of tool calls on purpose
        messages.append(message)
        messages.extend(tool_result) #Changed from append() to extend() when we switched to multiple

        response = client.chat.completions.create(
            model="gpt-4.1-mini",
            messages=messages,
            tools=tools
        )
        message = response.choices[0].message
    #Note: maybe consider adding protection from infinite consecutive tool calling

    return(message.content)

#----------------------------------------------
# Launch Gradio
#----------------------------------------------
gr.ChatInterface(
    fn=respond_ai,
    title="Maxine's Digital Twin",
    #chatbot=gr.Chatbot("maxine.jpeg", avatar_images=None),
    description="Chat with an AI version of Maxine Jin. Ask about her experience, projects or just say hi!",
    examples=["whats your background?", "Ecommerce experience?", "What about your education?"],
).launch()