import streamlit as st import os import io import base64 from PIL import Image import pdf2image import google.generativeai as genai genai.configure(api_key = os.getenv('GEN_AI_API_KEY')) def get_gemini_response(input, pdf_content, prompt): model.genai.GenerativeModel('gemini-pro-vision') response = model.generate_content([input, pdf_content[0], prompt]) return response.text def input_pdf_setup(uploaded_file): if uploaded_file is not None: ## convert pdf to image images = pdf2image.convert_from_bytes(uploaded_file.read()) first_page = images[0] # take image and convert into bytes img_byte_arr = io.BytesIO() first_page.save(img_byte_arr, format = 'JPEG') img_byte_arr = img_byte_arr.getvalue() pdf_parts = [ { "mime-type": "image/jpeg", "data": base64.b64encode(img_byte_arr).decode() } ] return pdf_parts else: raise FileNotFoundError("No File uploaded") # Streamlit app st.set_page_config(page_title = "ATS Resume Analyser") st.header("ATS Tracker") input_text = st.text_area("Job Description: ", key = "input") uploaded_file = st.file_uploader("Upload your resume in pdf format...", type = ["pdf"]) if uploaded_file is not None: st.write("PDF uploaded successfully ") submit1 = st.button("Tell me about the resume") # submit2 = st.button("How can I improve my skills") # submit3 = st.button("What are the missing keywords in my resume") submit3 = st.button("Percentage match to Job description") input_prompt1 = """ You are an experienced Technical Human Resource Manager with tech experience with experience in data science, LLMs, machine learning, deep learning, devops and data analyst, your task is to review the provided resume and share your professional evaluation on whether the candidate's profile aligns with the Job description. Highlight the strengths and weakness of the applicant in relation to the specified job description """ input_prompt3 = """ You are skilled ATS (Application Tracking System) scanner with a deep understanding of any one job role data science, LLMs, machine learning, deep learning, devops, data analyst and deep ATS functionality. Your task is to evaluate the given resume against provided job description Give me a percentage match if the resume matches the job description and should come as a percentage followed by keywords missing in the resume. """ if submit1: if uploaded_file is not None: pdf_content = input_pdf_setup(uploaded_file) response = get_gemini_response(input_text, pdf_content, input_prompt1) st.subheader("The response is: ") st.write(response) else: st.write("Please upload the resume") elif submit3: if uploaded_file is not None: pdf_content = input_pdf_setup(uploaded_file) response = get_gemini_response(input_text, pdf_content,input_prompt3) st.subheader("The response is: ") st.write(response) else: st.write("Please upload the resume")