Update app.py

app.py

@@ -18,6 +18,15 @@ def upload_cvs(files):
         if len(files) > 10:
             return "❌ Limit exceeded: Upload a maximum of 10 CVs."
 
+        # Remove duplicates based on filename
+        unique_files = []
+        seen = set()
+        for f in files:
+            if f.name not in seen:
+                seen.add(f.name)
+                unique_files.append(f)
+        files = unique_files
+
         cv_texts = [extract_text_from_file(f) for f in files]
         cv_names = [f.name for f in files]
         cv_vectors = get_embeddings(cv_texts)
@@ -26,7 +35,7 @@ def upload_cvs(files):
             return "❌ No valid CVs."
 
         faiss_index = create_faiss_index(cv_vectors)
-        return f"✅ Uploaded and indexed {len(files)} CVs."
+        return f"✅ Uploaded and indexed {len(files)} CV(s)."
 
     except Exception as e:
         return f"❌ Error during upload: {e}"
@@ -40,17 +49,27 @@ def match_jd(jd_text, match_mode):
     try:
         jd_vector = get_embeddings([jd_text])[0]
 
+        # Select CVs based on match mode
         if match_mode == "Top 3 Matches":
             indices = search_similar_cvs(jd_vector, faiss_index, k=3)
-        else:  # All CVs
+        else:  # All uploaded CVs
             indices = list(range(len(cv_names)))
 
-        matched = [cv_names[i] for i in indices]
-        texts = [cv_texts[i] for i in indices]
+        # Filter duplicates by name
+        seen = set()
+        unique_indices = []
+        for i in indices:
+            if cv_names[i] not in seen:
+                seen.add(cv_names[i])
+                unique_indices.append(i)
+
+        matched = [cv_names[i] for i in unique_indices]
+        texts = [cv_texts[i] for i in unique_indices]
 
         summary = summarize_match(jd_text, matched, texts)
 
-        return f"✅ {match_mode}:\n\n" + "\n".join(matched) + f"\n\n📝 Summary:\n{summary}"
+        title = "✅ Match Result:" if len(matched) == 1 else f"✅ Matching {len(matched)} CVs:"
+        return f"{title}\n\n" + "\n".join(matched) + f"\n\n📝 Summary:\n{summary}"
 
     except Exception as e:
         return f"❌ Error during matching: {e}"
@@ -61,20 +80,20 @@ def clear_data():
     return "🧹 Cleared."
 
 with gr.Blocks() as app:
-    gr.Markdown("## 📄 CV Matcher with Groq API (Flexible Matching Mode)")
+    gr.Markdown("## 📄 CV Matcher with Groq API (Dynamic Matching)")
 
     # Upload
     file_input = gr.File(file_types=[".pdf", ".docx"], file_count="multiple", label="📤 Upload CVs (Max 10)")
     upload_button = gr.Button("📁 Upload & Index")
     upload_status = gr.Textbox(label="Upload Status")
 
-    # Job Description & Matching
+    # Job Description Matching
     jd_input = gr.Textbox(label="📋 Paste Job Description", lines=8, placeholder="Paste job description here...")
 
     match_mode = gr.Radio(["Top 3 Matches", "All Uploaded CVs"], value="Top 3 Matches", label="Matching Mode")
 
     match_button = gr.Button("🔍 Match CVs")
-    result_output = gr.Textbox(label="Match Results", lines=20)
+    result_output = gr.Textbox(label="Match Results", lines=25)
 
     # Clear Session
     clear_button = gr.Button("🧹 Clear All")