rekomendasi

app.py

@@ -75,16 +75,14 @@ def url_infer_and_calculate(url, location, unit="pixels", conversion_factor=1, c
         df.to_csv('Corrosion_Report.csv', index=False)
 
         # Add the new inputs to the result
-    result["corrosion_type"] = corrosion_type
-    result["inspection_standards"] = inspection_standards
-    result["ndt_methods"] = ndt_methods
-    result["manual_recommendation"] = recommendation
-    result["files"] = [f.name for f in files]
-
-    return img, corrosion_areas, prediction_json, os.path.abspath('Corrosion_Report.csv'), result
+        result["corrosion_type"] = corrosion_type
+        result["inspection_standards"] = inspection_standards
+        result["ndt_methods"] = ndt_methods
+        result["manual_recommendation"] = recommendation
+        result["files"] = [f.name for f in files]
 
         # Return the path of the CSV file along with other outputs.
-        #return img, corrosion_areas, prediction_json, os.path.abspath('Corrosion_Report.csv')
+        return img, corrosion_areas, prediction_json, os.path.abspath('Corrosion_Report.csv'), result
 
     except Exception as e:
         return {"error": str(e)}
@@ -109,4 +107,4 @@ iface = gr.Interface(
 )
 
 # Launch the Gradio interface
-iface.launch(debug=False, share=False)
+iface.launch(debug=False, share=False)