Update app.py

app.py

@@ -126,7 +126,6 @@ def get_text_embeddings(text):
     else: return np.mean([token.vector for token in doc if token.has_vector], axis=0) if [token.vector for token in doc if token.has_vector] else np.zeros(nlp.vocab.vectors.shape[1])
 
 def calculate_cosine_similarity(vec1, vec2):
-    # This check prevents errors if one of the vectors is all zeros.
     if np.all(vec1 == 0) or np.all(vec2 == 0):
         return 0.0
     vec1 = vec1.reshape(1, -1)
@@ -333,9 +332,9 @@ with gr.Blocks(theme=gr.themes.Soft(), title="CV-Job Match Analyzer") as demo:
         """
     )
     
-    # --- NEW GRID LAYOUT ---
-    with gr.Grid(2):
-        with gr.Column(): # First column for inputs
+    # Using gr.Row and gr.Column for compatibility with older Gradio versions
+    with gr.Row(): 
+        with gr.Column(scale=1): 
             gr.Markdown("## **1. Your CV**") 
             cv_file_obj = gr.File(label="Upload CV (PDF, DOCX, TXT)", file_types=[".pdf", ".docx", ".txt"])
             cv_text_input = gr.Textbox(label="Or paste CV text here (overrides file upload)", lines=10, placeholder="Paste your CV content here...")
@@ -345,15 +344,13 @@ with gr.Blocks(theme=gr.themes.Soft(), title="CV-Job Match Analyzer") as demo:
                 analyze_button = gr.Button("✨ Analyze CV Match ✨", variant="primary", scale=1)
                 clear_button = gr.ClearButton([cv_file_obj, cv_text_input, jd_text_input], scale=1)
         
-        with gr.Column(): # Second column for outputs
+        with gr.Column(scale=2):
             output_html = gr.HTML(label="Analysis Report") 
             gr.Markdown("## **📊 Visual Insights**") 
             output_overall_plot = gr.Plot(label="Overall Match Score") 
             output_skill_plot = gr.Plot(label="Skill Match Breakdown")
             output_keywords_plot = gr.Plot(label="Top Keywords")
 
-    # --- END OF GRID LAYOUT ---
-
     analyze_button.click(
         fn=analyze_cv_match,
         inputs=[cv_file_obj, cv_text_input, jd_text_input],