Update app.py

app.py

@@ -223,7 +223,6 @@ def compute_gc_content(sequence):
 ###############################################################################
 # 7. MAIN ANALYSIS STEP (Gradio Step 1)
 ###############################################################################
-
 def create_kmer_shap_csv(kmers, shap_values):
     """Create a CSV file with k-mer SHAP values and return the filepath"""
     # Create DataFrame with k-mers and SHAP values
@@ -244,7 +243,7 @@ def create_kmer_shap_csv(kmers, shap_values):
     temp_path = os.path.join(temp_dir, f"kmer_shap_values_{os.urandom(4).hex()}.csv")
     kmer_df.to_csv(temp_path, index=False)
     
-    return temp_path, "kmer_shap_values.csv"
+    return temp_path  # Return only the file path, not a tuple
 
 def analyze_sequence(file_obj, top_kmers=10, fasta_text="", window_size=500):
     if fasta_text.strip():
@@ -313,7 +312,7 @@ def analyze_sequence(file_obj, top_kmers=10, fasta_text="", window_size=500):
     state_dict_out = {"seq": seq, "shap_means": shap_means}
 
     return (results_text, bar_img, heatmap_img, state_dict_out, header, None, kmer_shap_csv)
-
+    
 ###############################################################################
 # 8. SUBREGION ANALYSIS (Gradio Step 2)
 ###############################################################################