Update app.py

app.py

@@ -1,9 +1,11 @@
 import gradio as gr
+import numpy as np
 from text_extractor import extract_text_from_file
 from embedder import get_embeddings
 from vector_store import create_faiss_index, search_similar_cvs
 from groq_api import summarize_match
 
+# Global storage
 cv_texts = []
 cv_names = []
 cv_vectors = []
@@ -17,7 +19,7 @@ def upload_cvs(files):
         cv_names = [f.name for f in files]
         cv_vectors = get_embeddings(cv_texts)
 
-        if not cv_vectors:
+        if cv_vectors is None or np.array(cv_vectors).size == 0:
             return "❌ No valid CVs."
 
         faiss_index = create_faiss_index(cv_vectors)
@@ -27,20 +29,24 @@ def upload_cvs(files):
         return f"❌ Error during upload: {e}"
 
 def match_jd(jd_text):
-    if not faiss_index:
+    if faiss_index is None:
         return "❌ Please upload CVs first."
     if not jd_text.strip():
         return "⚠️ Job description is empty."
 
-    jd_vector = get_embeddings([jd_text])[0]
-    indices = search_similar_cvs(jd_vector, faiss_index, k=3)
+    try:
+        jd_vector = get_embeddings([jd_text])[0]
+        indices = search_similar_cvs(jd_vector, faiss_index, k=3)
+
+        matched = [cv_names[i] for i in indices]
+        texts = [cv_texts[i][:400] for i in indices]
 
-    matched = [cv_names[i] for i in indices]
-    texts = [cv_texts[i][:400] for i in indices]
+        summary = summarize_match(jd_text, matched, texts)
 
-    summary = summarize_match(jd_text, matched, texts)
+        return f"✅ Top Matches:\n\n" + "\n".join(matched) + f"\n\n📝 Summary:\n{summary}"
 
-    return f"✅ Top Matches:\n{matched}\n\n📝 Summary:\n{summary}"
+    except Exception as e:
+        return f"❌ Error during matching: {e}"
 
 def clear_data():
     global cv_texts, cv_names, cv_vectors, faiss_index
@@ -50,19 +56,23 @@ def clear_data():
 with gr.Blocks() as app:
     gr.Markdown("## 📄 CV Matcher with Groq API")
 
+    # Upload
     file_input = gr.File(file_types=[".pdf", ".docx"], file_count="multiple", label="📤 Upload CVs")
-    upload_btn = gr.Button("📁 Upload & Index")
-    upload_output = gr.Textbox(label="Upload Status")
-
-    jd_input = gr.Textbox(label="📋 Paste Job Description", lines=8)
-    match_btn = gr.Button("🔍 Match CVs")
-    result_output = gr.Textbox(label="Results", lines=12)
-
-    clear_btn = gr.Button("🧹 Clear All")
-    clear_output = gr.Textbox(label="Reset Status")
-
-    upload_btn.click(upload_cvs, inputs=[file_input], outputs=[upload_output])
-    match_btn.click(match_jd, inputs=[jd_input], outputs=[result_output])
-    clear_btn.click(clear_data, inputs=[], outputs=[clear_output])
+    upload_button = gr.Button("📁 Upload & Index")
+    upload_status = gr.Textbox(label="Upload Status")
+
+    # Job Description Matching
+    jd_input = gr.Textbox(label="📋 Paste Job Description", lines=8, placeholder="Paste job description here...")
+    match_button = gr.Button("🔍 Match CVs")
+    result_output = gr.Textbox(label="Match Results", lines=15)
+
+    # Clear Session
+    clear_button = gr.Button("🧹 Clear All")
+    clear_status = gr.Textbox(label="Clear Status")
+
+    # Actions
+    upload_button.click(upload_cvs, inputs=[file_input], outputs=[upload_status])
+    match_button.click(match_jd, inputs=[jd_input], outputs=[result_output])
+    clear_button.click(clear_data, inputs=[], outputs=[clear_status])
 
 app.launch()