remove inference api checkbox

app_text_classification.py

@@ -94,8 +94,6 @@ def get_demo():
 
     with gr.Accordion(label="Model Wrap Advanced Config", open=True):
         gr.HTML(USE_INFERENCE_API_TIP)
-
-        run_inference = gr.Checkbox(value=True, label="Run with Inference API")
         inference_token = gr.Textbox(
             placeholder="hf_xxxxxxxxxxxxxxxxxxxx",
             value="",
@@ -146,7 +144,7 @@ def get_demo():
         logs = gr.Textbox(
             value=CHECK_LOG_SECTION_RAW,
             label="Log",
-            visible=True,
+            visible=False,
             every=0.5,
         )
 
@@ -233,7 +231,6 @@ def get_demo():
             dataset_config_input,
             dataset_split_input,
             uid_label,
-            run_inference,
             inference_token,
         ],
         outputs=[
@@ -257,7 +254,6 @@ def get_demo():
             dataset_id_input,
             dataset_config_input,
             dataset_split_input,
-            run_inference,
             inference_token,
             uid_label,
         ],
@@ -274,14 +270,12 @@ def get_demo():
 
     gr.on(
         triggers=[
-            run_inference.input,
             inference_token.input,
             scanners.input,
         ],
         fn=enable_run_btn,
         inputs=[
             uid_label,
-            run_inference, 
             inference_token, 
             model_id_input, 
             dataset_id_input, 
@@ -296,7 +290,6 @@ def get_demo():
         fn=enable_run_btn,
         inputs=[
             uid_label,
-            run_inference, 
             inference_token, 
             model_id_input, 
             dataset_id_input, 

run_jobs.py

@@ -50,7 +50,6 @@ def prepare_env_and_get_command(
     d_id,
     config,
     split,
-    inference,
     inference_token,
     uid,
     label_mapping,
@@ -60,10 +59,6 @@ def prepare_env_and_get_command(
     if os.environ.get("SPACE_ID") == "giskardai/giskard-evaluator":
         leaderboard_dataset = LEADERBOARD
 
-    inference_type = "hf_pipeline"
-    if inference and inference_token:
-        inference_type = "hf_inference_api"
-
     executable = "giskard_scanner"
     try:
         # Copy the current requirements (might be changed)
@@ -100,7 +95,7 @@ def prepare_env_and_get_command(
         "--scan_config",
         get_submitted_yaml_path(uid),
         "--inference_type",
-        inference_type,
+        "hf_inference_api",
         "--inference_api_token",
         inference_token,
     ]

text_classification_ui_helpers.py

@@ -252,7 +252,6 @@ def align_columns_and_show_prediction(
     dataset_config,
     dataset_split,
     uid,
-    run_inference,
     inference_token,
 ):
     model_id = strip_model_id_from_url(model_id)
@@ -347,7 +346,7 @@ def align_columns_and_show_prediction(
             gr.update(value=prediction_input, lines=min(len(prediction_input)//225 + 1, 5), visible=True),
             gr.update(value=prediction_response, visible=True),
             gr.update(visible=True, open=True),
-            gr.update(interactive=(run_inference and inference_token != "")),
+            gr.update(interactive=(inference_token != "")),
             "",
             *column_mappings,
         )
@@ -357,7 +356,7 @@ def align_columns_and_show_prediction(
         gr.update(value=prediction_input, lines=min(len(prediction_input)//225 + 1, 5), visible=True),
         gr.update(value=prediction_response, visible=True),
         gr.update(visible=True, open=False),
-        gr.update(interactive=(run_inference and inference_token != "")),
+        gr.update(interactive=(inference_token != "")),
         "",
         *column_mappings,
     )
@@ -375,8 +374,8 @@ def check_column_mapping_keys_validity(all_mappings):
 
     return True
 
-def enable_run_btn(uid, run_inference, inference_token, model_id, dataset_id, dataset_config, dataset_split):
-    if not run_inference or inference_token == "":
+def enable_run_btn(uid, inference_token, model_id, dataset_id, dataset_config, dataset_split):
+    if inference_token == "":
         logger.warn("Inference API is not enabled")
         return gr.update(interactive=False)
     if model_id == "" or dataset_id == "" or dataset_config == "" or dataset_split == "":
@@ -422,7 +421,7 @@ def show_hf_token_info(token):
         return gr.update(visible=True)
     return gr.update(visible=False)
 
-def try_submit(m_id, d_id, config, split, inference, inference_token, uid):
+def try_submit(m_id, d_id, config, split, inference_token, uid):
     all_mappings = read_column_mapping(uid)
     if not check_column_mapping_keys_validity(all_mappings):
         return (gr.update(interactive=True), gr.update(visible=False))
@@ -440,7 +439,6 @@ def try_submit(m_id, d_id, config, split, inference, inference_token, uid):
             d_id,
             config,
             split,
-            inference,
             inference_token,
             uid,
             label_mapping,