Create app.py

app.py

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+import streamlit as st
+import os
+import PyPDF2
+from langchain_mistralai.chat_models import ChatMistralAI
+import json
+from dotenv import load_dotenv
+from PIL import Image
+import pytesseract
+import time
+
+load_dotenv()
+
+# Set up the Mistral AI client
+mistral_api_key = os.getenv("MISTRAL_API_KEY")
+client = ChatMistralAI(api_key=mistral_api_key)
+
+# Define the input prompts
+input_prompt1 = """
+You are an skilled Applicant Tracking System scanner with a deep understanding of Applicant Tracking System functionality,
+your task is to evaluate the resume against the provided job description.
+Show  a single percentage reflecting the overall match between resume and job description.
+"""
+
+input_prompt2 = """
+You are an skilled Applicant Tracking System scanner with a deep understanding of Applicant Tracking System functionality,
+your task is to evaluate the resume against the provided job description.
+Find out the requirements the make this resume disqualified for this job in a list.
+"""
+
+input_prompt3 = """
+You are an skilled Applicant Tracking System scanner with a deep understanding of Applicant Tracking System functionality,
+your task is to evaluate the resume against the provided job description.
+Find out the most critical keywords in the resume that match the job description in a list.
+"""
+
+input_prompt4 = """
+You are submitting a resume to a job with the provided job description.
+Find out the requirements in the job description you should add to make you qualify for this job.
+"""
+
+input_prompt5 = """
+You are the applicant who applied for this job and want to compose a strong but concise coverletter to convince the employer you have the skills and the expereince for this job.
+The first paragraph of the  cover letter must briefly discuss the your backgroud.
+The second paragraph discuss how the applicant fit this role based on your skillsets matches the job requirements.
+The third paragraph discuss the your interest in this role and thanks for the consideration .
+"""
+
+# Define a function to extract text from a PDF file
+def extract_text_from_pdf(file):
+    reader = PyPDF2.PdfReader(file)
+    text = ""
+    for page in range(len(reader.pages)):
+        text += reader.pages[page].extract_text()
+    return text
+
+# Set up the Streamlit app
+st.set_page_config(page_title="Resume Match Maker", page_icon=":robot:", layout="wide")
+
+# Add a header to the app
+st.header("Resume Match Maker")
+st.markdown("## Created by Gokul Palanisamy")
+
+# Add a ticker to the app
+st.markdown("""<div style='position:fixed;bottom:0;left:0;background-color:#222;color:#fff;padding:10px;border-radius:5px;'>
+                  <marquee behavior="scroll" direction="left">Resume Match Maker helps you match your resume to job descriptions and generate cover letters. Created by Gokul Palanisamy.</marquee>
+               </div>""", unsafe_allow_html=True)
+
+# Add a sidebar to the app
+with st.sidebar:
+    st.markdown("# Resume Match Maker")
+    st.markdown("## Match your resume to job descriptions and generate cover letters")
+
+# Add input fields for job description and resume
+use_image = st.checkbox("Use Image for Job Description")
+
+if use_image:
+    job_description_image = st.file_uploader("Upload Job Description Image", type=["jpg", "jpeg", "png"])
+    if job_description_image:
+        # Perform OCR on the image
+        image = Image.open(job_description_image)
+        gray_image = image.convert("L")
+        job_description = pytesseract.image_to_string(gray_image)
+    else:
+        job_description = ""
+else:
+    job_description = st.text_area("Enter Job Description", value="")
+
+st.markdown("## Upload Resume")
+resume = st.file_uploader("", type="pdf")
+
+# Add a button to generate results
+if st.button("Generate Results"):
+    # Display a loading spinner while the results are being generated
+    with st.spinner("Generating results..."):
+        # Display a progress bar while the results are being generated
+        progress_bar = st.progress(0)
+
+        # Extract text from the resume
+        if resume:
+            resume_text = extract_text_from_pdf(resume)
+        else:
+            st.error("Please upload a resume.")
+            resume_text = ""
+
+        # Generate results using Mistral AI
+        if job_description and resume_text:
+            # Match percentage
+            response1 = client.invoke(input_prompt1 + resume_text + job_description)
+            progress_bar.progress(20)
+            time.sleep(0.5)
+
+            # Disqualifying factors
+            response2 = client.invoke(input_prompt2 + resume_text + job_description)
+            progress_bar.progress(40)
+            time.sleep(0.5)
+
+            # Matching keywords
+            response3 = client.invoke(input_prompt3 + resume_text + job_description)
+            progress_bar.progress(60)
+            time.sleep(0.5)
+
+            # Missing keywords
+            response4 = client.invoke(input_prompt4 + resume_text + job_description)
+            progress_bar.progress(80)
+            time.sleep(0.5)
+
+            # Cover letter
+            response5 = client.invoke(input_prompt5 + resume_text + job_description)
+            progress_bar.progress(100)
+            time.sleep(0.5)
+
+            # Display the results
+            st.markdown("## Match Percentage")
+            st.markdown(f'* {response1.content}')
+
+            st.markdown("## Disqualifying Factors")
+            st.markdown(f'* {response2.content}')
+
+            st.markdown("## Matching Keywords")
+            st.markdown(f'* {response3.content}')
+
+            st.markdown("## Missing Keywords")
+            st.markdown(f'* {response4.content}')
+
+            st.markdown("## Cover Letter")
+            st.markdown(f'* {response5.content}')
+
+        else:
+            st.error("Please enter a job description and upload a resume.")