Update app.py

app.py

@@ -12,7 +12,7 @@ def make_prediction(Fly_ash, GGBS_GGBFS, Fine_aggregate, Na2SiO3_solution, NaOH_
     predt_co2 = best_model_co2.predict([[Fly_ash, GGBS_GGBFS, Fine_aggregate, Na2SiO3_solution, NaOH_solution, NaOH_concentration, Superplasticiser, Curing_temperature, Curing_Period, Testing_Age]])
     value_cs = round(predt_cs[0], 3)
     value_co2 = round(predt_co2[0], 3)
-    image_component = gr.Image("/Users/mohamedrabie/Library/CloudStorage/OneDrive-UniversityofWestLondon/University/Course/PhD/Research/PhD work/ML/Research work/Geopolymer mortar with ML/ML models and data/Models/MOO/MOO results.png", label="multi-objective optimization", type="pil")
+    image_component = gr.Image("MOO results.png", label="multi-objective optimization", type="pil")
     return value_cs, value_co2, image_component, 
 
 # Inputs for the models