Create app.py

app.py

@@ -0,0 +1,77 @@
+import streamlit as st
+import pdfplumber
+import spacy
+import openai
+import os
+
+# Set your OpenAI API key
+openai.api_key = "your_openai_api_key"  # Replace with your actual OpenAI API Key
+
+# Load spaCy model for NLP
+nlp = spacy.load("en_core_web_sm")
+
+def extract_text_from_pdf(pdf_file):
+    """Extracts text from an uploaded PDF resume."""
+    text = ""
+    try:
+        with pdfplumber.open(pdf_file) as pdf:
+            for page in pdf.pages:
+                text += page.extract_text() + "\n"
+    except Exception as e:
+        st.error(f"Error extracting text from PDF: {e}")
+    return text.strip()
+
+def extract_keywords(text):
+    """Extracts important keywords from resume text using spaCy."""
+    doc = nlp(text)
+    keywords = set()
+    for token in doc:
+        if token.pos_ in ["NOUN", "PROPN"]:  # Extract nouns and proper nouns
+            keywords.add(token.text.lower())
+    return list(keywords)
+
+def analyze_resume(text):
+    """Uses OpenAI GPT to analyze resume and suggest improvements."""
+    prompt = f"""
+    You are a professional resume analyzer. Given the following resume text, 
+    provide a rating (out of 10), identify missing keywords based on general job trends, 
+    and suggest improvements.
+
+    Resume Text:
+    {text}
+
+    Your response should be in this structured format:
+    - Resume Rating: (score out of 10)
+    - Missing Keywords: (comma-separated list)
+    - Suggestions for Improvement: (bullet points)
+    """
+
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[{"role": "user", "content": prompt}]
+    )
+    return response["choices"][0]["message"]["content"]
+
+# Streamlit UI
+st.title("📝 AI-Powered Resume Analyzer")
+st.write("Upload your resume, and AI will provide feedback to improve it!")
+
+uploaded_file = st.file_uploader("Upload your Resume (PDF format)", type=["pdf"])
+
+if uploaded_file is not None:
+    with st.spinner("Processing your resume..."):
+        resume_text = extract_text_from_pdf(uploaded_file)
+        
+        if resume_text:
+            keywords = extract_keywords(resume_text)
+            analysis_result = analyze_resume(resume_text)
+
+            st.subheader("🔍 Resume Analysis Report")
+            st.write(analysis_result)
+
+            st.subheader("📌 Extracted Keywords")
+            st.write(", ".join(keywords))
+
+            st.success("✅ Resume analyzed successfully!")
+        else:
+            st.error("Could not extract text from the PDF. Please try another file.")