Update app.py

app.py

@@ -456,7 +456,7 @@ async def result(request: Request,
     plt.savefig(plot7_path)
     plt.close(fig)
 
-    img = PIL.Image.open(plot7_path)
+    img = Image.open(plot7_path)
     response7 = format_text((generate_gemini_response(plot7_path)))
 
 
@@ -526,7 +526,7 @@ async def result(request: Request,
             ax.set_title('Top 10 Feature Importance (Decision Tree Regressor)', fontsize=18)
             plot8_path = "static/dtree_regressor.png"
             plt.savefig(plot8_path)
-            img = PIL.Image.open(plot8_path)
+            img = Image.open(plot8_path)
             response8 = format_text((generate_gemini_response(plot8_path)))
             
 
@@ -561,7 +561,7 @@ async def result(request: Request,
             ax.set_title('Top 10 Feature Importance (Decision Tree Classifier)', fontsize=18)
             plot9_path = "static/dtree_classifier.png"
             plt.savefig(plot9_path)
-            img = PIL.Image.open(plot9_path)
+            img = Image.open(plot9_path)
             response9 = format_text((generate_gemini_response(plot9_path)))
 
         
@@ -601,7 +601,7 @@ async def result(request: Request,
             ax.set_title('Top 10 Feature Importance (Random Forest Regressor)', fontsize=18)
             plot10_path = "static/rf_regressor.png"
             plt.savefig(plot10_path)
-            img = PIL.Image.open(plot10_path)
+            img = Image.open(plot10_path)
             response10 = format_text((generate_gemini_response(plot10_path)))
 
         elif method == "Classification":
@@ -633,7 +633,7 @@ async def result(request: Request,
             ax.set_title('Top 10 Feature Importance (Random Forest Classifier)', fontsize=18)
             plot11_path = "static/rf_classifier.png"
             plt.savefig(plot11_path)
-            img = PIL.Image.open(plot11_path)
+            img = Image.open(plot11_path)
             response11 = format_text((generate_gemini_response(plot11_path)))