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.gradio/certificate.pem

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+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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+-----END CERTIFICATE-----

README.md

@@ -1,12 +1,6 @@
 ---
-title: Virtual Resume
-emoji: 👁
-colorFrom: green
-colorTo: green
-sdk: gradio
-sdk_version: 6.1.0
+title: virtual-resume
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 5.49.1
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from dotenv import load_dotenv
+from openai import OpenAI
+from datetime import datetime
+from zoneinfo import ZoneInfo
+from requests.exceptions import RequestException, Timeout
+import json
+import requests
+from pypdf import PdfReader
+import gradio as gr
+
+
+load_dotenv(override=True)
+
+def push(text: str) -> bool:
+    if not text or not isinstance(text, str):
+        raise ValueError("`text` must be a non-empty string")
+
+    ts = datetime.now(ZoneInfo("Asia/Kolkata")).isoformat()
+
+    payload = {
+        "timestamp": ts,
+        "message": text,
+    }
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": "3175641f-82e8-4243tinytools8e62-4a202127c2db"
+    }
+
+    try:
+        response = requests.post(
+            "https://converteasly.com/api/send-feedback",
+            json=payload,          # ✅ use json instead of data
+            headers=headers,
+            timeout=10              # ⏱ prevent hanging requests
+        )
+
+        response.raise_for_status()  # ❌ raises for 4xx / 5xx
+
+        return True
+
+    except Timeout:
+        print("❌ Request timed out while sending feedback")
+        return False
+
+    except RequestException as e:
+        print(f"❌ Failed to send feedback: {e}")
+        return False
+
+    except Exception as e:
+        print(f"❌ Unexpected error: {e}")
+        return False
+
+
+
+def record_user_details(email, name="Name not provided", notes="not provided"):
+    push(f"Recording {name} with email {email} and notes {notes}")
+    return {"recorded": "ok"}
+
+def record_unknown_question(question):
+    push(f"Recording {question}")
+    return {"recorded": "ok"}
+
+record_user_details_json = {
+    "name": "record_user_details",
+    "description": "Use this tool to record that a user is interested in being in touch and provided an email address",
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "email": {
+                "type": "string",
+                "description": "The email address of this user"
+            },
+            "name": {
+                "type": "string",
+                "description": "The user's name, if they provided it"
+            }
+            ,
+            "notes": {
+                "type": "string",
+                "description": "Any additional information about the conversation that's worth recording to give context"
+            }
+        },
+        "required": ["email"],
+        "additionalProperties": False
+    }
+}
+
+record_unknown_question_json = {
+    "name": "record_unknown_question",
+    "description": "Always use this tool to record any question that couldn't be answered as you didn't know the answer",
+    "parameters": {
+        "type": "object",
+        "properties": {
+            "question": {
+                "type": "string",
+                "description": "The question that couldn't be answered"
+            },
+        },
+        "required": ["question"],
+        "additionalProperties": False
+    }
+}
+
+tools = [{"type": "function", "function": record_user_details_json},
+        {"type": "function", "function": record_unknown_question_json}]
+
+
+class Me:
+
+    def __init__(self):
+        self.openai = OpenAI()
+        self.name = "Pawan Malhotra"
+        reader = PdfReader("me/my-profile.pdf")
+        self.linkedin = ""
+        for page in reader.pages:
+            text = page.extract_text()
+            if text:
+                self.linkedin += text
+        with open("me/summary.txt", "r", encoding="utf-8") as f:
+            self.summary = f.read()
+
+
+    def handle_tool_call(self, tool_calls):
+        results = []
+        for tool_call in tool_calls:
+            tool_name = tool_call.function.name
+            arguments = json.loads(tool_call.function.arguments)
+            print(f"Tool called: {tool_name}", flush=True)
+            tool = globals().get(tool_name)
+            result = tool(**arguments) if tool else {}
+            results.append({"role": "tool","content": json.dumps(result),"tool_call_id": tool_call.id})
+        return results
+    
+    def system_prompt(self):
+        system_prompt = f"You are acting as {self.name}. You are answering questions on {self.name}'s website, \
+particularly questions related to {self.name}'s career, background, skills and experience. \
+Your responsibility is to represent {self.name} for interactions on the website as faithfully as possible. \
+You are given a summary of {self.name}'s background and LinkedIn profile which you can use to answer questions. \
+Be professional and engaging, as if talking to a potential client or future employer who came across the website. \
+If 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. \
+If 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. "
+
+        system_prompt += f"\n\n## Summary:\n{self.summary}\n\n## LinkedIn Profile:\n{self.linkedin}\n\n"
+        system_prompt += f"With this context, please chat with the user, always staying in character as {self.name}."
+        return system_prompt
+    
+    def chat(self, message, history):
+        messages = [{"role": "system", "content": self.system_prompt()}] + history + [{"role": "user", "content": message}]
+        done = False
+        while not done:
+            response = self.openai.chat.completions.create(model="gpt-4o-mini", messages=messages, tools=tools)
+            if response.choices[0].finish_reason=="tool_calls":
+                message = response.choices[0].message
+                tool_calls = message.tool_calls
+                results = self.handle_tool_call(tool_calls)
+                messages.append(message)
+                messages.extend(results)
+            else:
+                done = True
+        return response.choices[0].message.content
+
+
+if __name__ == "__main__":
+    me = Me()
+    with gr.Blocks(
+        theme=gr.themes.Soft(),
+        css="""
+        .gradio-container {
+            width: 100%;
+            margin: auto;
+        }
+        footer {display: none !important;}
+        """
+    ) as demo:
+        gr.Markdown(
+            """
+            # 🧠 Virtual Resume Assistant - Pawan Malhotra
+            Ask anything about my skills, experience, or projects.
+            """
+        )
+
+        gr.ChatInterface(
+            fn=me.chat,
+            type="messages",
+            # chatbot=gr.Chatbot(
+            #     height=450,
+            #     show_copy_button=True,
+            #     avatar_images=("👤", "🤖")
+            # ),
+            textbox=gr.Textbox(
+                placeholder="Ask about experience, skills, projects...",
+                scale=7
+            ),
+        )
+    demo.launch()
+    

me/summary.txt

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+Pawan Kumar
+Java Developer |Spring-Boot
+Role - Backend developer
+pawan160522@gmail.com
+
+ 
+PROFESSIONAL EXPERIENCE
+Harman (Client: Mercedes‑Benz) - Senior Software Developer - Bengaluru 			            Apr 2024 – Present
+Led proof‑of‑concepts and delivered features (alternate‑routing, charging‑station integration) for the Online Routing application using Gin framework
+Integrated Google and HERE map services; analyzed logs and resolved production bugs to maintain 99.8% uptime
+Implemented & Maintained Google/HERE routes on Map for Electric vehicles with planned charging stations.
+Collaborated with cross‑functional teams across full SDLC: planning, development, testing, and QA.
+Integrated charging reservation feature into the routing system, earning recognition from both the team and senior stakeholders for the successful rollout.
+Integrated go-swagger to document and maintain APIs across microservices, and utilized it to auto-generate models for shared libraries.
+Resolved bugs related to hybrid and electric vehicle functionality going through production logs.
+Wipro (Client: Mercedes‑Benz) - Java Developer - Bengaluru				           Aug 2022 – Mar 2024
+Developed and maintained Spring Boot microservices for parking‑application.
+Integrated on-street and off-street parking POIs into the vehicle head unit interface.
+Migrated services to AWS by creating Terraform blueprint.
+Resolved P1–P3 production tickets with root‑cause analysis; managed SSL certificates in Azure Key Vault and AWS ACM
+Created CI/CD pipelines and code‑review workflows; documented processes in Confluence and tracked issues in Jira/Mattermost.
+Integrated sonar for each microservice to maintain clean & quality code.
+Collaborated with product managers and stakeholders to define requirements and deliverables.
+Conducted thorough code reviews and ensured adherence to best practices.
+Wipro - Project Engineer (Intern) - Pune							           Feb 2022 – May 2022
+Designed and lead a 10‑member team to build an E‑voting web application (Spring Boot, Thymeleaf, MySQL) for final internship project
+
+TECHNICAL SKILLS
+Programming Languages: Java SE 8/11, Java EE, Golang (Gin)
+Frameworks & Libraries: Spring Boot, Spring MVC, Hibernate, Junit, Thymeleaf, Next.js, React.js
+Cloud & DevOps: AWS: ECS/ECR, ALB/NLB, ACM, Auto Scaling, Kinesis, Glue, Azure DevOps: CI/CD pipelines, repositories,Terraform
+Databases & Messaging: PostgreSQL, MySQL, Kafka
+Tools & Platforms: Git, Jira, Confluence, DataDog, Linux, mattermost, sonar
+
+
+EDUCATION
+B.Tech in Computer Science Engineering - Sagar Institute of Research & Technology, Bhopal | Aug 2018 – May 2022
+Intermediate (Physics, Chemistry, Mathematics) & 10th - St. Paul School, Sasaram | Apr 2014 – Mar 2017
+ 
+SELECTED/PERSONAL PROJECT
+CONVERTEASLY (API + Website + Chrome Extension) converteasly.com
+Developed Spring Boot–based microservices and Next.js website offering PDF, image, and document conversion tools
+Implemented JWT‑based authentication; automated file purge 1  hour after upload for data security
+Integrated QR code download functionality, allowing users to access converted files across devices.
+Developed a Chrome extension that allows users to easily access and group frequently used tools.
+ 
+CERTIFICATIONS / ACHIEVEMENT
+Got Appreciation for creating terraform blueprint for aws ECS infrastructure.
+Got Appreciation for successfully rolling out reservation features for EV vehicles.
+Spring Boot Microservices Developer (Udemy & Wipro)
+Hibernate Level 1 (Wipro)
+DevOps Level 1 (Wipro)
+React.js (Great Learning)
+
+
+ACADEMICS
+Sagar Institute Of Research & Technology, Bhopal — B.Tech
+COMPUTER SCIENCE ENGINEERING
+AUG 2018 - MAY 2022
+St. Paul School, Sasaram — 12th
+PHYSICS, CHEMISTRY, MATHEMATICS
+APRIL 2015 - MARCH 2017
+
+TRAINED ON
+Java
+Golang
+Spring MVC, JPA
+Spring-Boot Framework
+Hibernate Framework
+DBMS
+Certified on wipro internal & Udemy spring-boot microservices developer.
+Certified on wipro internal & Udemy Hibernate-L1.
+Certified on wipro internal Devops-L1.
+Certified on React.js (GreatLearning)
+
+
+INTERESTED IN
+Android Studio
+Cloud Computing
+AI/ML
+Google Firebase
+Higher Study (M.tech/M.S)
+Developed multiple android games on self interest which uses firebase database. (KheeloJeeto.apk, ChessGameTimer.apk, TicTacToe.apk)
+Developed an android application on self interest which is a food recipe app. (cafehouse.apk)
+EXTRA-CURRICULAR ACTIVITIES
+Learning new skills ( currently, exploring AI)
+Engage with Team Member
+
+Language - English, Hindi
+HOBBIES
+Singing, Playing Cricket
+Sketching & Designing
+