app.py

from fastapi import FastAPI, File, UploadFile, Form
from fastapi.responses import JSONResponse
import google.generativeai as genai
import os
import PyPDF2 as pdf
from dotenv import load_dotenv

load_dotenv()  # Load environment variables

genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

app = FastAPI()


def get_gemini_response(input):
    model = genai.GenerativeModel('gemini-pro')
    response = model.generate_content(input)
    return response.text


def read_pdf_text(file):
    text = ""
    reader = pdf.PdfReader(file)
    for page in range(len(reader.pages)):
        page = reader.pages[page]
        text += str(page.extract_text())
    return text


@app.post("/result")
async def response(jd:str = Form(...), file: UploadFile = File(...)):
    try:
        text = read_pdf_text(file.file)
        jd = jd
        input_prompt="""
        Act Like a skilled or very experience ATS(Application Tracking System)
        with a deep understanding of tech field,software engineering,data science ,data analyst
        and big data engineer. Your task is to evaluate the resume based on the given job description.
        You must consider the job market is very competitive and you should provide 
        best assistance for improving thr resumes. Assign the percentage Matching based 
        on Jd and
        the missing keywords with high accuracy
        resume:{text}
        description:{jd}

        I want the response in one single string having the structure
        {{"JD Match":"%","MissingKeywords:[]","Profile Summary":""}}
        """
        gemini_response = get_gemini_response(input_prompt)
        return JSONResponse(content={"result": gemini_response}, status_code=200)
    except Exception as e:
        return JSONResponse(content={"error": str(e)}, status_code=500)