Update app.py

app.py

@@ -6,7 +6,7 @@ import soundfile as sf
 import torchaudio
 from speechbrain.pretrained.interfaces import foreign_class
 
-from app_utils import preprocess_video_and_rank
+from app_utils import preprocess_video_and_rank,video_score
 from authors import AUTHORS
 
 # Importing necessary components for the Gradio app
@@ -19,6 +19,8 @@ from gradio_client import Client
 client = Client("Liusuthu/TextDepression")
 
 os.environ["no_proxy"] = "localhost,127.0.0.1,::1"
+
+
 ###########################语音部分######################################
 classifier = foreign_class(
     source="pretrained_models/local-speechbrain/emotion-recognition-wav2vec2-IEMOCAP",  # ".\\emotion-recognition-wav2vec2-IEMOCAP"
@@ -79,9 +81,15 @@ def clear_dynamic_info():
         gr.Textbox(""),
     )
 
-
+def clear_video():
+    return (
+        gr.Video(value=None),
+        gr.Number(value=None),
+        gr.Number(value=None),
+        gr.Textbox("")
+    )
 ##################################设置各自的app类####################
-with gr.Blocks(css="app.css") as video:
+with gr.Blocks(css="app.css") as video:                
     with gr.Tab("Dynamic App"):
         gr.Markdown(value=DESCRIPTION_DYNAMIC)
         with gr.Row():
@@ -154,6 +162,8 @@ with gr.Blocks(css="app.css") as video:
         inputs=out1,
         outputs=text_result,
     )
+
+    clear1=
 ####################################
 speech = gr.Interface(
     classify_continuous,
@@ -164,11 +174,47 @@ speech = gr.Interface(
         gr.Text(label="音频情感识别2"),
     ],
 )
+############################################################
+with gr.Blocks() as video_score
+    with gr.Row():
+        with gr.Column(scale=2):
+            input_video = gr.Video(
+                sources=["upload"], elem_classes="video1", format='mp4'
+            )
+            with gr.Row():
+                clear_1 = gr.Button(
+                    value="Clear", interactive=True, scale=1
+                )
+                submit_1 = gr.Button(
+                    value="Score", interactive=True, scale=1, elem_classes="submit"
+                )
+        with gr.Column(scale=2):
+            with gr.Row():
+                score1=gr.Number(interactive=False,label="score1")
+                score2=gr.Number(interactive=False,label="score2")
+                result3=gr.Textbox(interactive=False)
+
+    clear_1.click(
+        fn=clear_video,
+        inputs=[],
+        outputs=[input_video,socre1,score2,result3]
+    )
+    submit_1.click(
+        fn=video_score,
+        inputs=[input_video],
+        outputs=[socre1,score2,result3]
+    )
+
+
 
 with gr.Blocks() as app:
     with gr.Tab("语音"):
         speech.render()
     with gr.Tab("视频"):
         video.render()
+    with gr.Tab("视频集成打分"):
+        video_score.render()
+
 
+        
 app.launch()