removed the uploading of data

.gitignore

@@ -1,2 +1,4 @@
 train_info.txt
+train.txt
+train_label.txt
 ratio_proportion_change3_2223/sch_largest_100-coded/logs/

app.py

@@ -10,18 +10,19 @@ from sklearn.metrics import roc_curve, auc
 import pandas as pd
 # Define the function to process the input file and model selection
 
-def process_file(file,label,info,model_name,inc_slider,progress=Progress(track_tqdm=True)):
+def process_file(model_name,inc_slider,progress=Progress(track_tqdm=True)):
     # progress = gr.Progress(track_tqdm=True)
+
     progress(0, desc="Starting the processing") 
-    with open(file.name, 'r') as f:
-        content = f.read()
-    saved_test_dataset = "train.txt"
-    saved_test_label = "train_label.txt"
-    saved_train_info="train_info.txt"
+    # with open(file.name, 'r') as f:
+    #     content = f.read()
+    # saved_test_dataset = "train.txt"
+    # saved_test_label = "train_label.txt"
+    # saved_train_info="train_info.txt"
     # Save the uploaded file content to a specified location
-    shutil.copyfile(file.name, saved_test_dataset)
-    shutil.copyfile(label.name, saved_test_label)
-    shutil.copyfile(info.name, saved_train_info)
+    # shutil.copyfile(file.name, saved_test_dataset)
+    # shutil.copyfile(label.name, saved_test_label)
+    # shutil.copyfile(info.name, saved_train_info)
 
 
     # Load the test_info file and the graduation rate file
@@ -324,12 +325,12 @@ tbody.svelte-18wv37q>tr.svelte-18wv37q:nth-child(odd) {
     gr.Markdown("<p class='description'>Upload a .txt file and select a model from the dropdown menu.</p>")
     
     with gr.Row():
-        file_input = gr.File(label="Upload a test file", file_types=['.txt'], elem_classes="file-box")
-        label_input = gr.File(label="Upload test labels", file_types=['.txt'], elem_classes="file-box")
+        # file_input = gr.File(label="Upload a test file", file_types=['.txt'], elem_classes="file-box")
+        # label_input = gr.File(label="Upload test labels", file_types=['.txt'], elem_classes="file-box")
 
-        info_input = gr.File(label="Upload test info", file_types=['.txt'], elem_classes="file-box")
+        # info_input = gr.File(label="Upload test info", file_types=['.txt'], elem_classes="file-box")
     
-    model_dropdown = gr.Dropdown(choices=models, label="Select Finetune Task", elem_classes="dropdown-menu")
+        model_dropdown = gr.Dropdown(choices=models, label="Select Finetune Task", elem_classes="dropdown-menu")
 
     
     increment_slider = gr.Slider(minimum=1, maximum=100, step=1, label="Schools Percentage", value=1)
@@ -340,7 +341,7 @@ tbody.svelte-18wv37q>tr.svelte-18wv37q:nth-child(odd) {
 
     btn = gr.Button("Submit")
  
-    btn.click(fn=process_file, inputs=[file_input,label_input,info_input,model_dropdown,increment_slider], outputs=[output_text,output_image])
+    btn.click(fn=process_file, inputs=[model_dropdown,increment_slider], outputs=[output_text,output_image])
 
 
 # Launch the app

new_test_saved_finetuned_model.py

@@ -440,7 +440,9 @@ class BERTFineTuneCalibratedTrainer:
             with open("result.txt", 'w') as file:
                 for key, value in final_msg.items():
                     file.write(f"{key}: {value}\n")
-                    
+            with open("plabels.txt","w") as file:
+                file.write(plabels)
+                       
             print(final_msg)
             fpr, tpr, thresholds = roc_curve(tlabels, positive_class_probs)
             f.close()

result.txt

@@ -3,5 +3,5 @@ total_acc: 69.52861952861953
 precisions: 0.7336375047795977
 recalls: 0.6952861952861953
 f1_scores: 0.6858177547541179
-time_taken_from_start: 28.49159860610962
+time_taken_from_start: 16.031665802001953
 auc_score: 0.7738852057033876