more changes

Dockerfile

@@ -9,8 +9,15 @@ ENV PATH="/home/user/.local/bin:$PATH"
 
 WORKDIR /app
 
+COPY resume.txt .
+COPY extra_info.txt .
+COPY main.py .
+
 COPY --chown=user ./requirements.txt requirements.txt
 RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
+EXPOSE 7860
+
+
 COPY --chown=user . /app
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

extra_info.txt

@@ -0,0 +1,4 @@
+Rence is actively looking for the Job
+Notice period is 2 months
+Expected salary is 45 LPA
+Current salary is 22.5 LPA

main.py

@@ -1,15 +1,53 @@
 from fastapi import FastAPI
 from pydantic import BaseModel
 from transformers import pipeline
+from sentence_transformers import SentenceTransformer
+import faiss
 
-# Load resume text
-with open("resume.txt", "r", encoding="utf-8") as f:
-    resume_text = f.read()
+# === Load and chunk structured .txt files ===
+def load_structured_chunks(file_path):
+    with open(file_path, "r", encoding="utf-8") as f:
+        text = f.read()
 
-# Load extractive QA pipeline
+    # Split by '== Section ==' headers
+    raw_chunks = text.split("== ")
+    chunks = []
+
+    for chunk in raw_chunks:
+        cleaned = chunk.strip()
+        if cleaned:
+            # Optionally prepend section title for context
+            lines = cleaned.splitlines()
+            section_title = lines[0] if lines else "Untitled"
+            section_body = "\n".join(lines[1:]).strip()
+            if section_body:
+                chunks.append(f"{section_title}\n{section_body}")
+    return chunks
+
+# Load resume and extra info
+resume_chunks = load_structured_chunks("resume.txt")
+extra_chunks = load_structured_chunks("extra_info.txt") if "extra_info.txt" in __import__('os').listdir() else []
+all_chunks = resume_chunks + extra_chunks
+
+# === Embed chunks ===
+embedder = SentenceTransformer("all-MiniLM-L6-v2")
+embeddings = embedder.encode(all_chunks)
+
+# === Create FAISS index ===
+dimension = embeddings[0].shape[0]
+index = faiss.IndexFlatL2(dimension)
+index.add(embeddings)
+
+# === Retrieval function ===
+def retrieve_context(query, top_k=3):
+    query_embedding = embedder.encode([query])
+    _, indices = index.search(query_embedding, top_k)
+    return "\n\n".join([all_chunks[i] for i in indices[0]])
+
+# === Load QA model ===
 qa_pipeline = pipeline("question-answering", model="deepset/tinyroberta-squad2")
 
-# FastAPI setup
+# === FastAPI setup ===
 app = FastAPI()
 
 class Question(BaseModel):
@@ -17,8 +55,13 @@ class Question(BaseModel):
 
 @app.post("/predict")
 async def predict(question: Question):
+    context = retrieve_context(question.query)
     result = qa_pipeline({
         "question": question.query,
-        "context": resume_text
+        "context": context
     })
-    return {"answer": result["answer"]}
+    return {"answer": result["answer"]}
+
+@app.get("/")
+def health_check():
+    return {"status": "Resume Q&A API is running"}

pdf_to_txt.py

@@ -0,0 +1,23 @@
+import pdfplumber
+
+def extract_text_from_pdf(pdf_path):
+    text = ""
+    with pdfplumber.open(pdf_path) as pdf:
+        for page in pdf.pages:
+            page_text = page.extract_text()
+            if page_text:
+                text += page_text + "\n"
+    return text
+
+def save_text_to_file(text, output_path):
+    with open(output_path, "w", encoding="utf-8") as f:
+        f.write(text)
+
+# === Usage ===
+pdf_path = "resume.pdf"           # Your input PDF
+output_path = "resume.txt"        # Output text file
+
+resume_text = extract_text_from_pdf(pdf_path)
+save_text_to_file(resume_text, output_path)
+
+print(f"✅ Extracted text saved to {output_path}")

requirements.txt

@@ -2,4 +2,6 @@ transformers
 gradio
 torch
 fastapi
-uvicorn
+uvicorn
+sentence-transformers
+faiss-cpu

resume.txt

@@ -1 +1,80 @@
-Rence Abishek has 5 years of experience in full-stack development. He is skilled in React, Node.js, Python, and AWS. He graduated with a B.Tech in Computer Science and holds an AWS Certified Developer certification.
+== Personal Information ==
+Name: Rence Abishek
+Location: Salem, TN, India
+Email: renceabishek@gmail.
+Website: https://www.renceabishek.in/
+Phone number: 9629766512
+
+== Summary ==
+8+ years of Java and full stack development with a demonstrated history of working in IT
+
+== Skills ==
+- Java, Spring Boot, Spring Security, Graphql, JPA
+- React JS, tailwindcss, Daisy UI, css, scss, html, js, ts
+- Oracle | SQL Server | Firebase Realtime DB | Lowdb
+- OCI | Vercel | Heroku | Firebase | Github | Bitbucket | GitLab | Jenkins | Docker | JIRA
+
+== Certifications ==
+- Prompt Engineering course
+- SAFe Agile Practinionar
+
+== Projects ==
+- Bunker Management System
+    Bunkering (filling petrol ) the ship which has more steps involved,
+    Before bunkering the ship we need to get the approval from the
+    captain of the ship and we need to shop the quotation of the
+    bunkers to the another manager panel,
+    This is a web application which was constructed by JSF, EJB, Mssql,.
+    I was involved in all the part of the development.
+- My Sunrise Online
+    Switzerland based Telecom Web application using React, GraphQL,
+    SpringBoot, Oracle. The development team has huge in numbers,
+    Each layers has splitted, I was involved in Graphql,SpringBoot, JPA
+    and Webservice team. Still many other layers are there such as
+    hybris, aem, etc
+- Sales Quote Engine
+    BT sales quote engine to provide quote option details to the
+    customers who needs BT network access, It was build with Java,
+    Gradle, Oracle, Angular
+
+== Experience / Previous Company ==
+
+Designation : Senior Software Engineer 
+Company : Virtusa, Chennai 
+Duration: 02/2021 - Present
+Project : Sales Quote Engine
+
+Designation : Software Engineer 
+Company : Tech Mahindra, Chennai 
+Duration : 01/2019 - 02/2021
+Project : My Sunrise Online
+
+Designation : Software Engineer 
+Company : Solverminds Solutions pvt limited
+Duration : 10/2016 - 12/2018,
+Project : Bunker Management System
+
+
+== Education ==
+- Bachelor of Engineering - CSE, Studied at Muthayammal Engineering College
+- SSLC, HSC St.Paul's hr.sec.school
+
+== Additional Info ==
+- Passionate about automation and workflow optimization
+- Enjoys experimenting with browser tweaks and startup efficiency
+
+== Roles and Responsibility ==
+
+- Involving in the business change request discussion and conveying
+the details to the team
+- Schema designing for the graphql query and Database based on the
+business requirements
+- Identifying & conveying the impediments of the business
+functionalities to the customer
+- Helping team in development wise impediments. Involved in the
+development
+- Reviewing the Code which was committed by the team and merge
+it. Doing the Test driven development & Integration testing by
+development team before moving it for actual testing
+- Providing demo about the story/task which we have done as part
+the spring in the sprint review, Working in SAFE agile methodology

resume1.txt

@@ -0,0 +1 @@
+Rence Abishek has 5 years of experience in full-stack development. He is skilled in React, Node.js, Python, and AWS. He graduated with a B.Tech in Computer Science and holds an AWS Certified Developer certification.