Update app.py

app.py

@@ -1,6 +1,7 @@
 import os
 import re
 from datetime import datetime
+import PyPDF2
 import torch
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, AutoModelForSeq2SeqLM
 from sentence_transformers import SentenceTransformer, util
@@ -50,7 +51,6 @@ def extract_skills_llama(text):
 # --- Qualification and Experience Extraction --- #
 def extract_qualifications(text):
     """Extracts qualifications from text (e.g., degrees, certifications)."""
-    # Simplified logic to extract qualifications (can be improved)
     qualifications = re.findall(r'(bachelor|master|phd|certified|degree)', text, re.IGNORECASE)
     return qualifications if qualifications else ['No specific qualifications found']
 
@@ -61,7 +61,7 @@ def extract_experience(text):
     experience_years = [int(year[0]) for year in experience_years]
     return experience_years, job_titles
 
-# --- Matching Function using Semantic Similarity --- #
+# --- Semantic Similarity Calculation --- #
 def calculate_semantic_similarity(text1, text2):
     """Calculates semantic similarity using a sentence transformer model and returns the score as a percentage."""
     model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
@@ -173,17 +173,29 @@ def analyze_resume(resume_file, job_description_file):
     )
 
 # --- Gradio Interface --- #
-def process_job_description(job_description_text):
-    """Simplified job description processing for skills (can be extended)."""
-    return re.findall(r'\b(Python|AWS|Machine Learning|Deep Learning|NLP|Docker|Kubernetes)\b', job_description_text, re.IGNORECASE)
-
-def gradio_app(resume_file, job_description_file):
-    return analyze_resume(resume_file, job_description_file)
-
-# --- Launch Gradio App --- #
-gr.Interface(fn=gradio_app, 
-             inputs=["file", "file"], 
-             outputs="text",
-             title="Resume and Job Description Matching Tool",
-             description="Upload a resume and a job description to assess the matching scores for skills, qualifications, and experience."
-            ).launch()
+def main():
+    """Runs the Gradio application for resume analysis."""
+    interface = gr.Interface(
+        fn=analyze_resume,
+        inputs=[gr.File(label="Upload Resume (PDF/TXT)"), gr.File(label="Upload Job Description (PDF/TXT)")],
+        outputs=[
+            gr.Textbox(label="Skills Similarity"),
+            gr.Textbox(label="Qualifications Similarity"),
+            gr.Textbox(label="Experience Similarity"),
+            gr.Textbox(label="Communication Response"),
+            gr.Textbox(label="Sentiment Analysis"),
+            gr.Textbox(label="Resume Skills"),
+            gr.Textbox(label="Job Description Skills"),
+            gr.Textbox(label="Resume Qualifications"),
+            gr.Textbox(label="Job Description Qualifications"),
+            gr.Textbox(label="Resume Experience"),
+            gr.Textbox(label="Job Description Experience")
+        ],
+        title="Resume and Job Description Analysis",
+        description="Analyze a resume against a job description to evaluate skills, qualifications, experience, and generate communication insights."
+    )
+
+    interface.launch()
+
+if __name__ == "__main__":
+    main()