Changed logs dataset target

.gitignore

@@ -1,3 +1,3 @@
 __pycache__/
 .env
-bias_tool_logs/
+logs_edia_lmodels_english/

app.py

@@ -15,7 +15,7 @@ from interfaces.interface_crowsPairs import interface as interface_crowsPairs
 # --- Tool config ---
 LANGUAGE_MODEL  = "bert-base-multilingual-uncased"
 LANGUAGE        = "english"                                     # [english]
-AVAILABLE_LOGS  = True                                         # [True | False]
+AVAILABLE_LOGS  = True                                          # [True | False]
 
 
 # --- Init classes ---

interfaces/interface_crowsPairs.py

@@ -14,7 +14,8 @@ def interface(
 
     # --- Init logs ---
     log_callback = HuggingFaceDatasetSaver(
-        available_logs=available_logs
+        available_logs=available_logs,
+        dataset_name=f"logs_edia_lmodels_{lang}"
     )
 
     # --- Init vars ---
@@ -114,7 +115,7 @@ def interface(
         save_field = [sent0, sent1, sent2, sent3, sent4, sent5]
         log_callback.setup(
             components=save_field, 
-            flagging_dir=f"crows_pairs_{lang}"
+            flagging_dir=f"logs_crows_pairs"
         )
         
         btn.click(

interfaces/interface_sesgoEnFrases.py

@@ -14,7 +14,8 @@ def interface(
 
     # --- Init logs ---
     log_callback = HuggingFaceDatasetSaver(
-        available_logs=available_logs
+        available_logs=available_logs,
+        dataset_name=f"logs_edia_lmodels_{lang}"
     )
 
     # --- Init vars ---
@@ -42,7 +43,8 @@ def interface(
                     )
                     sent = gr.Textbox(
                         label=labels["sent"]["title"],
-                        placeholder=labels["sent"]["placeholder"]
+                        placeholder=labels["sent"]["placeholder"],
+                        show_label=False
                     )
                     
                     gr.Markdown(
@@ -50,7 +52,8 @@ def interface(
                     )
                     word_list = gr.Textbox( 
                         label=labels["wordList"]["title"], 
-                        placeholder=labels["wordList"]["placeholder"]
+                        placeholder=labels["wordList"]["placeholder"],
+                        show_label=False
                     )
                     
                     with gr.Group():
@@ -124,13 +127,13 @@ def interface(
         save_field = [sent, word_list]
         log_callback.setup(
             components=save_field, 
-            flagging_dir=f"sesgo_en_frases_{lang}"
+            flagging_dir="logs_phrase_bias"
         )
         
         btn.click(
             fn=lambda *args: log_callback.flag(
                 flag_data=args,
-                flag_option="sesgo_en_frases",
+                flag_option="phrase_bias",
                 username="vialibre"
             ),
             inputs=save_field,

language/english.json

@@ -8,11 +8,11 @@
         "step2": "2. Enter words of interest (Optional)",
         "step3": "3. Enter unwanted words (If item 2 is not completed)",
         "sent": {
-            "title": "",
+            "title": "Sent",
             "placeholder": "Use * to mask the word of interest."
         },
         "wordList": {
-            "title": "",
+            "title": "Words of interest",
             "placeholder": "The words in the list must be comma separated"
         },
         "bannedWordList": {

modules/module_logsManager.py

@@ -50,8 +50,8 @@ class HuggingFaceDatasetSaver(FlaggingCallback):
 
     def __init__(
         self,
+        dataset_name: str=None,
         hf_token: str=os.getenv('HF_TOKEN'),
-        dataset_name: str=os.getenv('DS_LOGS_NAME'),
         organization: Optional[str]=os.getenv('ORG_NAME'),
         private: bool=True,
         available_logs: bool=False
@@ -63,6 +63,8 @@ class HuggingFaceDatasetSaver(FlaggingCallback):
             organization: The organization to save the dataset under. The hf_token must provide write access to this organization. If not provided, saved under the name of the user corresponding to the hf_token.
             private: Whether the dataset should be private (defaults to False).
         """
+        assert(dataset_name is not None), "Error: Parameter 'dataset_name' cannot be empty!."
+        
         self.hf_token = hf_token
         self.dataset_name = dataset_name
         self.organization_name = organization