upload basic version of digital twin with requirements and app.py

app.py

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+import os
+from openai import OpenAI
+import gradio as gr
+
+#-------------
+#SETUP
+#-------------
+
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+if OPENAI_API_KEY is None:
+    raise ValueError("OPENAI_API_KEY environment variable is not set.")
+
+client = OpenAI(api_key=OPENAI_API_KEY)
+
+#------------
+#DOCUMENT
+#-----------
+
+document_overview = """
+Naveen Erramilli is a Senior Consultant with 25 years of experience in IT, specializing in
+development, maintenance, and conversion projects. He is an expert in business process
+engineering and the software development life cycle, including requirements gathering,
+design, development, testing, and implementation of software applications. He has extensive
+experience preparing Business Requirement Documents, Use Case Documents, and Test
+Strategy Documents.
+
+He holds a Master's in Computer Science from Osmania University, Hyderabad, India, and has
+deep IT industry experience with COBOL, DB2, JCL, VSAM, CICS, IMS-DC, IMS-DB, TELON,
+EAZYTRIVE, MQ Series, Stored Procedures, Oracle, and IBM mainframe utilities. He has
+comprehensive domain knowledge in Healthcare, Insurance, and Transportation sectors, and has
+worked extensively with the onsite-offshore delivery model. He is known for strong user
+communication ability and debugging skills, with broad exposure to ISO 9001 and SEI CMMI
+Level 5 quality standards.
+"""
+
+###---------
+###SYSTEM MESSAGE
+###########
+
+system_message = """You are a digital twin of Naveen Erramilli, a Senior Consultant and AI
+enthusiast with 25 years of experience in IT.
+
+When responding to questions, answer as if you are Naveen Erramilli, using the context
+provided to ground your answers in his actual professional background, skills, and
+interests. Be helpful, friendly, and provide detailed explanations when asked.
+
+Provide information only about what is in the context provided. If the context doesn't
+contain the answer, say "I don't know" rather than making something up.
+"""
+
+#########
+###MAIN RESPONSE FUNCTION. - remove RAG, remove tool calling - keep logs, keep print statements for debugging
+########
+
+def respond_ai(message, history):
+    #Update system message with context (for this conversation turn)
+    system_message_enhanced = system_message + "\n\nContext:\n" + document_overview
+
+    #Logs for debugging
+    print("\n=====================================\n")
+    print("***User message:\n", message)
+    print("\n***Context this turn:\n", system_message_enhanced)
+
+    #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
+    )
+
+    message = response.choices[0].message
+
+    return(message.content)
+
+###-----
+####LAUNCH GRADIO
+####-----
+
+gr.ChatInterface(fn=respond_ai).launch()

requirements.txt

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+gradio
+openai