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app.py

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+import os
+import gradio as gr
+import spaces
+from huggingface_hub import InferenceClient,login
+
+login(os.getenv("HUGGINGFACEHUB_API_TOKEN"))
+client=InferenceClient()
+
+@spaces.GPU
+def chat(message: str,history: list[tuple[str, str]]):
+    #print(history)
+    print(message)
+    content = """You are Davor Kondic's resume chatbot. You will be interviewed by people for various positions.
+                You only know what is in the resume! NOTHING ELSE!
+                Stay on topic and only answer questions related to what is in the resume.
+                Make me (Davor) look good!
+                Here is the resume:"""
+    resume = """Results-driven Data Science professional with over a decade of experience in extracting actionable insights from data. Proven track record of leveraging data analytics to inform business decisions and drive growth. Passionate about data-driven decision making and staying at the forefront of data science trends.
+
+EDUCATION
+o	Master of Science in Data Science (In Progress), Northwestern University, Evanston, IL
+o	Bachelor of Science in Economics (Cum Laude), Northern Illinois University, DeKalb, IL
+
+SKILLS
+o	Technical: Python, R, SQL, Tableau, Databricks, Hadoop, Excel, GitHub, AI 
+o	Professional: Data Science, Machine Learning, AI Development, Operational Research, Descriptive/Predictive/ Prescriptive Analytics, Data Engineering, Data Warehousing, Data Visualization, Agile Project Management (SCRUM)
+
+PROFESSIONAL EXPERIENCE
+AI Developer, Open-Source Foundation Models (2024 - Present)
+o	Designed and developed LLM AI agents using the Reasoning and Acting framework (ReAct), enabling autonomous decision-making and AI reasoning to solve real-world problems.
+o	Utilized open-source foundation transformer models, such as Llama 3.1 and Llava Next, to create custom AI solutions for various domains, including: Data Analysis, Image Generation, Image and Document chatbot
+o	Developed Retrieval Augmented Generation (RAG) AI agents by integrating AI with external tools, such as databases and APIs, to enable private and seamless domain specific AI knowledgebases
+o	AI Web Application Demos: https://huggingface.co/dkondic
+o	AI Web Application Code: https://github.com/Dacho688
+
+Supply Chain Specialist (2022), ALDI Inc., Batavia, IL
+Supply Chain Analyst (2023 – 2024), ALDI Inc., Batavia, IL
+o	Utilized Python's powerful packages and APIs to extract, transform, and load data from various sources, enabling data-driven supply chain optimization.
+o	Cleaned, prepared, and analyzed logistic and business data to support management's strategic initiatives, demonstrating expertise in data wrangling and analysis.
+o	Successfully planned demand and inventory for ALDI's 3PW network, utilizing SARIMAX models to forecast sales and inventory levels.
+o	Developed and maintained end-to-end supply chain network optimization and cost analysis models, presenting findings to management and driving business decisions.
+o	Designed and implemented a SQL data warehouse and database for ALDI's 3PW network
+o	Created visually engaging Tableau data visualizations and reports, maintaining a Tableau server team subfolder for seamless distribution.
+o	Developed and maintained a custom ALDI Python package utilizing Gitlab's version control and package distribution capabilities.
+
+Senior Accounting Data Analyst (Contract), Everywhere Wireless, Chicago, IL (2020)
+o	Extracted, transformed, and analyzed accounting, inventory, sales, and customer data from multiple sources (Quick Books Online, Fishbowl, V-Tiger)
+o	Developed and prepared a cash flow budget for the 2020 fiscal year using Excel
+o	Created an automated data variance analysis script using Python to compare ADP and Open Path data payroll times, streamlining data analysis and reducing manual effort.
+o	Completed ad hoc data analysis projects to drive decision-making and risk management.
+
+Data Analyst / Compliance Auditor, Alliance for Audited Media, Arlington Heights, IL (2014 – 2019)
+o	Extracted, transformed, and loaded (ETL) print and digital media data for analysis and audit procedures, ensuring data quality and compliance.
+o	Cleaned raw media data using various analytical tools (Excel, Python, R, SPSS), demonstrating expertise in data wrangling and manipulation.
+o	Conducted structured audits to confirm compliance and data quality, mentoring and training new auditors and analysts to enhance team capabilities.
+o	Assisted in the development of a machine learning model to predict digital ad fraud
+"""
+    messages=[{"role": "system", "content": content+resume}]
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
+    messages.append({"role": "user", "content": message})
+    
+    output = client.chat.completions.create(
+    model="meta-llama/Meta-Llama-3.1-70B-Instruct",
+    messages=messages,
+    stream=True,
+    max_tokens=1024,)
+
+    # Collect the response
+    response = ""
+    for chunk in output:
+        response += chunk.choices[0].delta.content or ""
+    print(response)
+    return response
+
+demo = gr.ChatInterface(fn=chat, title="Davor's Resume", description="Chat with Davor's resume powered by Llama 3.1 70B.",
+                        stop_btn="Stop Generation", multimodal=False)
+
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

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+git+https://github.com/huggingface/transformers.git
+spaces
+