feat: raise gradio error in web page and move app_gradio place in project.

examples/app_huggingface/app.py → app_gradio/app.py

@@ -10,20 +10,25 @@
 def dingo_demo(dataset_source, input_path, uploaded_file, data_format, column_content, rule_list, prompt_list, model,
                key, api_url):
     if not data_format:
-        return 'ValueError: data_format can not be empty, please input.', None
+        raise gr.Error('ValueError: data_format can not be empty, please input.')
     if not column_content:
-        return 'ValueError: column_content can not be empty, please input.', None
+        raise gr.Error('ValueError: column_content can not be empty, please input.')
     if not rule_list and not prompt_list:
-        return 'ValueError: rule_list and prompt_list can not be empty at the same time.', None
+        raise gr.Error('ValueError: rule_list and prompt_list can not be empty at the same time.')
 
     # Handle input path based on dataset source
     if dataset_source == "hugging_face":
         if not input_path:
-            return 'ValueError: input_path can not be empty for hugging_face dataset, please input.', None
+            raise gr.Error('ValueError: input_path can not be empty for hugging_face dataset, please input.')
         final_input_path = input_path
     else:  # local
         if not uploaded_file:
-            return 'ValueError: Please upload a file for local dataset.', None
+            raise gr.Error('Please upload a file for local dataset.')
+
+        file_base_name = os.path.basename(uploaded_file.name)
+        if not str(file_base_name).endswith(('.jsonl', '.json', '.txt')):
+            raise gr.Error('File format must be \'.jsonl\', \'.json\' or \'.txt\'')
+
         final_input_path = uploaded_file.name
 
     input_data = {
@@ -34,20 +39,19 @@ def dingo_demo(dataset_source, input_path, uploaded_file, data_format, column_co
         "save_raw": True,
         "data_format": data_format,
         "column_content": column_content,
-        "custom_config":
-            {
-                "rule_list": rule_list,
-                "prompt_list": prompt_list,
-                "llm_config":
-                    {
-                        "detect_text_quality_detail":
-                            {
-                                "model": model,
-                                "key": key,
-                                "api_url": api_url,
-                            }
-                    }
-            }
+        "custom_config":{
+            "rule_list": rule_list,
+            "prompt_list": prompt_list,
+            "llm_config":
+                {
+                    "detect_text_quality_detail":
+                        {
+                            "model": model,
+                            "key": key,
+                            "api_url": api_url,
+                        }
+                }
+        }
     }
     input_args = InputArgs(**input_data)
     executor = Executor.exec_map["local"](input_args)