Create app.py

app.py

@@ -0,0 +1,62 @@
+
+from dotenv import load_dotenv
+from langchain.prompts import PromptTemplate
+load_dotenv()
+from PyPDF2 import PdfReader
+import streamlit as st
+import os
+import google.generativeai as genai
+import re
+# genai.configure(api_key=os.getenv("gkey2"))
+import PIL.Image
+import pdf2image
+
+
+###approach######
+# 1.pdf-->image->api-->response [ats_1.0]
+# 2.pdf-->text-->api-->response [ats_2.0]
+
+def get_pdf_text(pdf_doc):
+    text=""
+    
+    pdf_reader=PdfReader(pdf_doc)
+    for page in pdf_reader.pages:
+        text+=page.extract_text()
+    return text
+
+def get_gemini_response(input):
+    model=genai.GenerativeModel('gemini-pro')
+    response=model.generate_content(input)
+    return response.text
+
+def prompt_temp(text,jd):
+    input_prompt= [
+    f"""
+    Hey 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":"%",'\n' "MissingKeywords:[]",'\n' "Profile Summary":""}}
+
+    """]
+    return input_prompt
+
+st.title("Smart ATS")
+st.text("Improve Your Resume ATS")
+jd=st.text_area("Paste the Job Description")
+uploaded_file=st.file_uploader("Upload Your Resume",type="pdf",help="Please uplaod the pdf")
+
+submit = st.button("Submit")
+if submit:
+    if uploaded_file is not None:
+        text=get_pdf_text(uploaded_file)
+        input_prompt=prompt_temp(text,jd)
+        response=get_gemini_response(input_prompt)
+        st.write(response)