Update Profile_Detail.py

Profile_Detail.py

@@ -1,19 +1,19 @@
 import streamlit as st
 import os
 from dotenv import load_dotenv
-from langchain_community.llms import OpenAI
-from langchain_google_genai import ChatGoogleGenerativeAI
+import openai
 from fpdf import FPDF
-import fitz 
+import fitz  # PyMuPDF
 
 # Load environment variables
 load_dotenv()
 
+# Set up the OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")
 
 def generate_resume(details):
     prompt = f"""
     Create an ATS-optimized resume based on the following details:
-
     Name: {details['name']}
     Contact Information: {details['contact']}
     LinkedIn Profile: {details['linkedin']}
@@ -23,28 +23,28 @@ def generate_resume(details):
     Skills: {details['skills']}
     Certifications: {details['certifications']}
     Projects: {details['projects']}
-
     Provide the resume in a well-structured format.
     """
     
-    llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"],max_tokens=1500)
-    resume = llm(prompt)
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=prompt,
+        max_tokens=1500
+    )
     
+    resume = response.choices[0].text.strip()
     return resume
 
-
-
 def create_pdf(resume_text, filename):
-    pdf = FPDF()
-    pdf.add_page()
-    pdf.set_auto_page_break(auto=True, margin=15)
-    pdf.set_font("Arial", size=12)
+    doc = fitz.open()
+    page = doc.new_page()
     
+    x, y = 72, 72  # Starting position
     for line in resume_text.split('\n'):
-        pdf.multi_cell(0, 10, line.encode('latin-1', 'replace').decode('latin-1'))
+        y += 12  # Move to the next line (adjust the spacing as needed)
+        page.insert_text((x, y), line, fontsize=12)
     
-    pdf.output(filename)
-
+    doc.save(filename)
 
 def extract_text_from_pdf(pdf_file):
     doc = fitz.open(stream=pdf_file.read(), filetype="pdf")
@@ -93,9 +93,6 @@ def parse_extracted_text(text):
 
     return details
 
-
-
-
 def app():
     st.title("Resume Creation")
 
@@ -104,6 +101,8 @@ def app():
     if uploaded_file:
         extracted_text = extract_text_from_pdf(uploaded_file)
         details = parse_extracted_text(extracted_text)
+        st.write("Extracted Text:", extracted_text)  # Debug: Show the extracted text
+        st.write("Parsed Details:", details)  # Debug: Show the parsed details
     else:
         details = {
             'name': "",
@@ -117,21 +116,21 @@ def app():
             'projects': ""
         }
 
-    with st.form("profile_form"):
+    with st.form("resume_form"):
         st.header("Enter your details to generate an ATS-optimized resume")
         
-        name = st.text_input("Name")
-        contact = st.text_area("Contact Information (phone, email, address)")
-        linkedin = st.text_input("LinkedIn Profile URL")
-        summary = st.text_area("Professional Summary")
-        experience = st.text_area("Work Experience (provide details of each job including company name, job title, duration, and responsibilities)")
-        education = st.text_area("Education (provide details of degrees, institutions, and graduation dates)")
-        skills = st.text_area("Skills (list your skills)")
-        certifications = st.text_area("Certifications (list any relevant certifications)")
-        projects = st.text_area("Projects (provide details of your projects)")
+        name = st.text_input("Name", value=details['name'])
+        contact = st.text_area("Contact Information (phone, email, address)", value=details['contact'])
+        linkedin = st.text_input("LinkedIn Profile URL", value=details['linkedin'])
+        summary = st.text_area("Professional Summary", value=details['summary'])
+        experience = st.text_area("Work Experience (provide details of each job including company name, job title, duration, and responsibilities)", value=details['experience'])
+        education = st.text_area("Education (provide details of degrees, institutions, and graduation dates)", value=details['education'])
+        skills = st.text_area("Skills (list your skills)", value=details['skills'])
+        certifications = st.text_area("Certifications (list any relevant certifications)", value=details['certifications'])
+        projects = st.text_area("Projects (provide details of your projects)", value=details['projects'])
         
         submitted = st.form_submit_button("Generate Resume")
-        
+    
     if submitted:
         if name and contact and linkedin and summary and experience and education and skills and certifications and projects:
             details = {
@@ -148,10 +147,10 @@ def app():
             resume = generate_resume(details)
             st.header("Generated Resume")
             st.text(resume)
-
+            
             # Save resume as PDF and provide download link
             pdf_filename = "resume.pdf"
-            create_pdf(resume, pdf_filename)
+            create_pdf_with_pymupdf(resume, pdf_filename)
             
             with open(pdf_filename, "rb") as pdf_file:
                 st.download_button(