Update app.py

app.py

@@ -1,6 +1,5 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
+import gradio as gr
+print("Gradio version:", gr.__version__)
 import os
 import joblib
 import numpy as np
@@ -72,9 +71,6 @@ def predict_face(img):
         print("DeepFace.analyze error:", e)
         return {}
 
-
-
-
 def predict_voice(audio_path: str):
     # 如果没有录音文件路径，直接返回空字典或提示
     if not audio_path:
@@ -91,9 +87,6 @@ def predict_voice(audio_path: str):
     except Exception as e:
         print("predict_voice error:", e)
         return {}
-
-
-
     
 def predict_text_mixed(text: str):
     """
@@ -131,10 +124,6 @@ def predict_text_mixed(text: str):
         print("zero-shot error:", e)
         return {"中性": 1.0}
 
-
-
-
-
 # --- 5. 建立 Gradio 介面 ---
 with gr.Blocks() as demo:
     with gr.TabItem("臉部情緒"):
@@ -143,9 +132,6 @@ with gr.Blocks() as demo:
             face_out = gr.Label(label="情緒分布")
         webcam.stream(fn=predict_face, inputs=webcam, outputs=face_out)
 
-
-
-
         # 其餘 Tab 可按原先寫法，或用 Blocks 方式
         with gr.TabItem("語音情緒"):
             audio = gr.Audio(sources="microphone", streaming=False, type="filepath", label="錄音")
@@ -159,10 +145,6 @@ with gr.Blocks() as demo:
                 text = gr.Textbox(lines=3, placeholder="請輸入中文文字…")
                 text_out = gr.Label(label="文字情緒結果")
             text.submit(fn=predict_text_mixed, inputs=text, outputs=text_out)
-
-
-    
-
 if __name__ == "__main__":
     
     demo.launch()