Update app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+import cv2
+import numpy as np
+import pandas as pd
+from utils import detect_spots, calculate_rf, annotate_image
+
+def process_tlc(image, solvent_front_y, baseline_y):
+    # Detect spots
+    spots = detect_spots(image)
+
+    # Calculate Rf values
+    rf_values = calculate_rf(spots, solvent_front_y, baseline_y)
+
+    # Annotate image
+    annotated_image = annotate_image(image, spots, rf_values)
+
+    # Generate a CSV report
+    report_data = {"Spot": list(range(1, len(spots) + 1)), "Rf Value": rf_values}
+    report = pd.DataFrame(report_data).to_csv(index=False)
+
+    return annotated_image, report
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=process_tlc,
+    inputs=[
+        gr.Image(type="numpy", label="Upload TLC Plate Image"),
+        gr.Number(label="Solvent Front Y-Coordinate"),
+        gr.Number(label="Baseline Y-Coordinate"),
+    ],
+    outputs=[
+        gr.Image(label="Annotated TLC Plate"),
+        gr.File(label="Download Rf Report (CSV)"),
+    ],
+    title="TLC Analyzer",
+    description="Upload a TLC plate image and provide the Y-coordinates for the solvent front and baseline. The tool will calculate Rf values and annotate the image."
+)
+
+if __name__ == "__main__":
+    interface.launch()