Update app.py

app.py

@@ -34,13 +34,13 @@ def classify_continuous(audio):
     sample_rate, signal = audio  # 这是语音的输入
     signal = signal.astype(np.float32)
     signal /= np.max(np.abs(signal))
-    sf.write("a.wav", signal, sample_rate)
-    signal, sample_rate = torchaudio.load("a.wav")
+    sf.write("data/a.wav", signal, sample_rate)
+    signal, sample_rate = torchaudio.load("data/a.wav")
     signal1 = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=16000)(
         signal
     )
-    torchaudio.save("out.wav", signal1, 16000, encoding="PCM_S", bits_per_sample=16)
-    Audio = "out.wav"
+    torchaudio.save("data/out.wav", signal1, 16000, encoding="PCM_S", bits_per_sample=16)
+    Audio = "data/out.wav"
     speech, sample_rate = AudioReader.read_wav_file(Audio)
     if signal == "none":
         return "none", "none", "haha"
@@ -96,7 +96,6 @@ with gr.Blocks(css="app.css") as video:
                 out1=gr.Textbox(label="语音分析结果")
                 out2=gr.Textbox(label="音频情感识别1")
                 out3=gr.Textbox(label="音频情感识别2")
-                internal_audio=gr.Audio(interactive=False)
         gr.Examples(
             [
                 "videos/video1.mp4",
@@ -132,7 +131,7 @@ with gr.Blocks(css="app.css") as video:
     audio_test_button.click(
         fn=classify_continuous,
         inputs=output_audio,
-        outputs=[out1,out2,out3,internal_audio]
+        outputs=[out1,out2,out3]
     )
 
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