improved code

app.py

@@ -5,6 +5,9 @@ from io import StringIO
 
 # Simulates mutation detection
 def analyze_sequences(input_df):
+    if input_df is None or input_df.empty:
+        return pd.DataFrame(columns=["Sequence", "Predicted Mutation", "Confidence Score"])
+
     results = []
     for _, row in input_df.iterrows():
         seq = row['DNA_Sequence']
@@ -18,22 +21,27 @@ def analyze_sequences(input_df):
         })
     return pd.DataFrame(results)
 
-# Load example data
+# Loads example data and analyzes it
 def load_example_data():
-    df = pd.DataFrame({
-        "DNA_Sequence": ["AGCTAGCTA", "GATCGATCG", "TTAGCTAGCT", "ATGCGTAGC"]
+    example_df = pd.DataFrame({
+        "DNA_Sequence": [
+            "AGCTAGCTA",
+            "GATCGATCG",
+            "TTAGCTAGCT",
+            "ATGCGTAGC"
+        ]
     })
-    return analyze_sequences(df)
+    return analyze_sequences(example_df)
 
-# Convert DataFrame to CSV string
-def dataframe_to_csv(dataframe):
-    if dataframe is None:
+# Converts DataFrame to CSV string
+def dataframe_to_csv(df):
+    if df is None or df.empty:
         return ""
     csv_buffer = StringIO()
-    dataframe.to_csv(csv_buffer, index=False)
+    df.to_csv(csv_buffer, index=False)
     return csv_buffer.getvalue()
 
-# Generate Mutation Statistics Summary
+# Generate mutation statistics summary and chart
 def get_mutation_stats(result_df):
     if result_df is None or result_df.empty:
         return "No data available.", None
@@ -58,12 +66,27 @@ def get_mutation_stats(result_df):
 
     return summary_text, chart
 
+# Unified function to process and return all outputs
+def process_and_get_stats(file=None):
+    if file is not None:
+        result_df = analyze_sequences(file)
+    else:
+        result_df = load_example_data()
+
+    summary, chart = get_mutation_stats(result_df)
+    return result_df, summary, chart
+
 # Gradio Interface
-with gr.Blocks() as demo:
-    gr.Markdown("## 🧬 MutateX – Liquid Biopsy Mutation Detection Tool")
-    gr.Markdown("Upload a CSV file with DNA sequences to simulate mutation detection.")
+with gr.Blocks(theme="default") as demo:
+    gr.Markdown("""
+    # 🧬 MutateX – Liquid Biopsy Mutation Detection Tool
+    
+    Upload a CSV file containing DNA sequences or use the example data to simulate mutation detection.
+    
+    *Developed by [GradSyntax](https://www.gradsyntax.com )*
+    """)
 
-    with gr.Row():
+    with gr.Row(equal_height=True):
         upload_btn = gr.File(label="📁 Upload CSV File", file_types=[".csv"])
         example_btn = gr.Button("🧪 Load Example Data")
 
@@ -72,20 +95,12 @@ with gr.Blocks() as demo:
         headers=["Sequence", "Predicted Mutation", "Confidence Score"]
     )
 
-    download_btn = gr.File(label="⬇️ Download Results as CSV")
-
     stats_text = gr.Textbox(label="Mutation Statistics Summary")
     stats_chart = gr.Plot(label="Mutation Frequency Chart")
 
-    # Function calls
-    def process_and_get_stats(file=None):
-        if file is not None:
-            result_df = analyze_sequences(file)
-        else:
-            result_df = load_example_data()
-        summary, chart = get_mutation_stats(result_df)
-        return result_df, summary, chart
+    download_btn = gr.File(label="⬇️ Download Results as CSV")
 
+    # Function calls
     upload_btn.upload(fn=process_and_get_stats, inputs=upload_btn, outputs=[output_table, stats_text, stats_chart])
     example_btn.click(fn=process_and_get_stats, inputs=None, outputs=[output_table, stats_text, stats_chart])
     download_btn.upload(fn=dataframe_to_csv, inputs=output_table, outputs=download_btn)