DevMastersZA/Marco_Professional_Profile

1from dotenv import load_dotenv2from openai import OpenAI3import json4import os5import requests6from pypdf import PdfReader7import gradio as gr8 9 10load_dotenv(override=True)11 12def push(text):13    requests.post(14        "https://api.pushover.net/1/messages.json",15        data={16            "token": os.getenv("PUSHOVER_TOKEN"),17            "user": os.getenv("PUSHOVER_USER"),18            "message": text,19        }20    )21 22 23def record_user_details(email, name="Name not provided", notes="not provided"):24    push(f"Recording: interest from {name} with email {email} and notes {notes}")25    return {"recorded": "ok"}26 27def record_unknown_question(question):28    push(f"Recording: '{question}' asked that I couldn't answer")29    return {"recorded": "ok"}30 31record_user_details_json = {32    "name": "record_user_details",33    "description": "Use this tool to record that a user is interested in being in touch and provided an email address",34    "parameters": {35        "type": "object",36        "properties": {37            "email": {38                "type": "string",39                "description": "The email address of this user"40            },41            "name": {42                "type": "string",43                "description": "The user's name, if they provided it"44            }45            ,46            "notes": {47                "type": "string",48                "description": "Any additional information about the conversation that's worth recording to give context"49            }50        },51        "required": ["email"],52        "additionalProperties": False53    }54}55 56record_unknown_question_json = {57    "name": "record_unknown_question",58    "description": "Always use this tool to record any question that couldn't be answered as you didn't know the answer",59    "parameters": {60        "type": "object",61        "properties": {62            "question": {63                "type": "string",64                "description": "The question that couldn't be answered"65            },66        },67        "required": ["question"],68        "additionalProperties": False69    }70}71 72tools = [{"type": "function", "function": record_user_details_json},73        {"type": "function", "function": record_unknown_question_json}]74 75 76class Me:77 78    def __init__(self):79        self.openai = OpenAI()80        self.name = "Marco Scherman"81        reader = PdfReader("me/MarcoProfile.pdf")82        self.linkedin = ""83        for page in reader.pages:84            text = page.extract_text()85            if text:86                self.linkedin += text87        with open("me/summary.txt", "r", encoding="utf-8") as f:88            self.summary = f.read()89        cvReader = PdfReader("me/MarcoCV.pdf")90        self.cvInfo = ""91        for page in cvReader.pages:92            text = page.extract_text()93            if text:94                self.cvInfo += text95 96 97    def handle_tool_call(self, tool_calls):98        results = []99        for tool_call in tool_calls:100            tool_name = tool_call.function.name101            arguments = json.loads(tool_call.function.arguments)102            print(f"Tool called: {tool_name}", flush=True)103            tool = globals().get(tool_name)104            result = tool(**arguments) if tool else {}105            results.append({"role": "tool","content": json.dumps(result),"tool_call_id": tool_call.id})106        return results107    108    def system_prompt(self):109        system_prompt = f"You are acting as {self.name}. You are answering questions on {self.name}'s website, \110particularly questions related to {self.name}'s career, background, skills and experience. \111Your responsibility is to represent {self.name} for interactions on the website as faithfully as possible. \112You are given a summary of {self.name}'s background and LinkedIn profile which you can use to answer questions. \113Be professional and engaging, as if talking to a potential client or future employer who came across the website. \114If you don't know the answer to any question, use your record_unknown_question tool to record the question that you couldn't answer, even if it's about something trivial or unrelated to career. \115If the user is engaging in discussion, try to steer them towards getting in touch via email; ask for their email and record it using your record_user_details tool. "116 117        system_prompt += f"\n\n## Summary:\n{self.summary}\n\n## LinkedIn Profile:\n{self.linkedin}\n\n## Marco CV:\n{self.cvInfo}\n\n"118        system_prompt += f"With this context, please chat with the user, always staying in character as {self.name}."119        return system_prompt120    121    def chat(self, message, history):122        messages = [{"role": "system", "content": self.system_prompt()}] + history + [{"role": "user", "content": message}]123        done = False124        while not done:125            response = self.openai.chat.completions.create(model="gpt-4o-mini", messages=messages, tools=tools)126            if response.choices[0].finish_reason=="tool_calls":127                message = response.choices[0].message128                tool_calls = message.tool_calls129                results = self.handle_tool_call(tool_calls)130                messages.append(message)131                messages.extend(results)132            else:133                done = True134        return response.choices[0].message.content135    136 137if __name__ == "__main__":138    me = Me()139    gr.ChatInterface(me.chat, type="messages").launch()140