batch analysis functions added

app.py

@@ -49,6 +49,54 @@ def chinese_sentiment_analysis(text: str) -> str:
 
     return json.dumps(result)
 
+
+def batch_sentiment_analysis(file_path: str) -> str:
+    '''
+    Batch process sentiment analysis from JSON file
+    
+    Args:
+        file_path (str): Path to JSON file with {text: ''} format
+    
+    Returns:
+        str: JSON string with analysis results in values
+    '''
+    with open(file_path, 'r', encoding = 'utf-8') as f:
+        data = json.load(f)
+    
+    for key in data:
+        analysis_result = json.loads( sentiment_analysis(key) )
+        data[key] = analysis_result
+    
+    output_path = f'processed_{file_path}'
+    with open(output_path, 'w', encoding = 'utf-8') as f:
+        json.dump(data, f, ensure_ascii = False, indent = 2)
+    
+    return output_path
+
+
+def batch_chinese_sentiment_analysis(file_path: str) -> str:
+    '''
+    Batch process Chinese sentiment analysis from JSON file
+    
+    Args:
+        file_path (str): Path to JSON file with {text: ''} format
+    
+    Returns:
+        str: JSON string with analysis results in values
+    '''
+    with open(file_path, 'r', encoding = 'utf-8') as f:
+        data = json.load(f)
+    
+    for key in data:
+        analysis_result = json.loads( chinese_sentiment_analysis(key) )
+        data[key] = analysis_result
+    
+    output_path = f'processed_{file_path}'
+    with open(output_path, 'w', encoding = 'utf-8') as f:
+        json.dump(data, f, ensure_ascii = False, indent = 2)
+    
+    return output_path
+
 # gradio interface
 demo = gr.TabbedInterface(
     [
@@ -64,16 +112,35 @@ demo = gr.TabbedInterface(
             fn = chinese_sentiment_analysis, 
             inputs = gr.Textbox(placeholder = '要分析的中文...'), 
             outputs = gr.Textbox(), 
-            title = 'Chinese Sentiment Analysis', 
+            title = '中文情感分析', 
             description = 'Analyse the sentiment of Chinese text using SnowNLP', 
-            api_name = 'chinese_sentiment_analysis'),
+            api_name = 'chinese_sentiment_analysis'
+        ),
+        gr.Interface(
+            fn = batch_sentiment_analysis,
+            inputs = gr.File(label = 'Upload JSON File'),
+            outputs = gr.File(label = 'Download Results'),
+            title = 'Batch Sentiment Analysis',
+            description = 'Process JSON file with multiple texts (English)',
+            api_name = 'batch_sentiment_analysis'
+        ),
+        gr.Interface(
+            fn = batch_chinese_sentiment_analysis,
+            inputs = gr.File(label = '上傳JSON文件'),
+            outputs = gr.File(label = '下載分析結果'),
+            title = '批量中文情感分析',
+            description = 'Batch process Chinese sentiment analysis from JSON file',
+            api_name = 'batch_chinese_sentiment_analysis'
+        )
     ],
     [
         'sentiment analysis',
         'chinese sentiment analysis',
+        'batch processing',
+        'batch processing (Chinese text)'
     ]
 )
 
 # Launch the interface and MCP server
 if __name__ == '__main__':
-    demo.launch(mcp_server = True)
+    demo.launch(mcp_server = True)