Fixed Some Issues

Required Data/Black Book Structure.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bac1673be9ed405ffb500ba8d90664334d21b825f5b399dafcfaa6446de9b311
+size 33371

Required Data/BlackBook.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51d9191b7054ee6945e357266810405db9d4d09a7a386a7383dd4c07be3380e7
+size 2835268

Required Data/Travis CV.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f723cfd05803758a87c28bd10291da51c8625f9ccacca270864c7af9487718c0
+size 108300

Required Data/report_1757923199.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1adce9b011e84f1edca61c574b563d53bf774daec6765084a4f8e66dc03ace88
+size 2169

app.py

@@ -1,13 +1,8 @@
-# --- Set Cache Folders for Hugging Face Environment ---
-# THIS IS THE CRUCIAL FIX. These lines MUST be at the very top, before any imports.
-import os
-os.environ["TRANSFORMERS_CACHE"] = "/tmp/transformers"
-os.environ["HF_HOME"] = "/tmp/huggingface"
-
 import json
 import re
 import logging
 import math
+import os
 import docx
 import fitz  # PyMuPDF
 from dotenv import load_dotenv
@@ -17,6 +12,10 @@ from sentence_transformers import SentenceTransformer, util
 from rapidfuzz import fuzz, process
 from urllib.parse import quote_plus
 
+# --- Set Cache Folders for Hugging Face Environment ---
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/transformers"
+os.environ["HF_HOME"] = "/tmp/huggingface"
+
 # --- Load environment variables and configure Gemini API ---
 load_dotenv()
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
@@ -167,9 +166,28 @@ def get_recommendations(answers, courses):
     top_courses = scored_courses[:3]
     raw_recs = [course for _, course in top_courses]
     if not raw_recs: return "🤔 I couldn’t find a strong match. Would you like to try again?", []
+
+    # --- THIS IS THE MODIFIED PART ---
     response_html = "<div class='recommendation-container'><h4>🚀 Here are my top recommendations for you:</h4>"
     for i, (_, course_data) in enumerate(top_courses):
-        response_html += f"<div class='recommendation-card clickable-card' data-action='details' data-value='{i+1}'><p><b>{i+1}. {course_data.get('course')}</b><br>{course_data.get('description', '')}</p></div>"
+        course_name = course_data.get('course')
+        description = course_data.get('description', '')
+        skills = course_data.get('tags', {}).get('skills', [])[:3]
+        careers = course_data.get('possible_careers', [])[:3]
+        
+        response_html += f"<div class='recommendation-card clickable-card' data-action='details' data-value='{i+1}'>"
+        response_html += f"<p style='margin-bottom: 1rem;'><b>{i+1}. {course_name}</b><br>{description}</p>"
+        
+        response_html += "<div style='font-size: 0.9rem; display: flex; flex-direction: column; gap: 0.5rem;'>"
+        if skills:
+            response_html += f"<div><b>🛠️ Key Skills:</b> {', '.join(s.capitalize() for s in skills)}</div>"
+        if careers:
+            response_html += f"<div><b>💼 Potential Careers:</b> {', '.join(careers)}</div>"
+        response_html += "</div>"
+        
+        response_html += "</div>"
+    # ------------------------------------
+
     response_html += f"<div class='recommendation-card clickable-card compare-card' data-action='compare' data-value='compare'><p><b>⚖️ Compare Courses</b></p></div></div>"
     return response_html, raw_recs
 
@@ -202,9 +220,7 @@ def analyze_resume_and_suggest_jobs(resume_text):
     2. "overall_score": An integer score out of 100 for the resume's quality.
     3. "summary": A brief, encouraging 1-2 sentence summary of the resume.
     4. "job_titles": A list of 3-5 specific job titles the candidate is well-suited for based on their skills and experience.
-
     Do not add any text before or after the JSON object.
-
     Resume Text to analyze:
     ---
     {resume_text}