Update layout to remove video and youtube.

README.md

@@ -1,6 +1,6 @@
 ---
-title: Audiofakedetection Demo
-emoji: 📊
+title: Voice Cloning Detection Demo
+emoji: 🕵️‍♂️
 colorFrom: gray
 colorTo: pink
 sdk: gradio

app.py

@@ -17,7 +17,6 @@ MAX_SIZE = FS * 30
 HF_TOKEN_DEMO=os.getenv("HF_TOKEN_DEMO")
 MODEL_REPO=os.getenv("MODEL_REPO")
 MODELNAME=os.getenv("MODELNAME")
-MODELNAME2=os.getenv("MODELNAME2")
 username=os.getenv("username")
 password=os.getenv("password")
 
@@ -26,7 +25,7 @@ hf_api = HfApi(
     token=HF_TOKEN_DEMO, # Token is not persisted on the machine.
 )
 
-modelfile = hf_api.hf_hub_download(MODEL_REPO,MODELNAME2)
+modelfile = hf_api.hf_hub_download(MODEL_REPO,MODELNAME)
 MODEL = torch.jit.load(modelfile)
 
 
@@ -161,8 +160,8 @@ with gr.Blocks(title="Audio Fake Detector") as demo:
             with gr.Column():
                 m = gr.Audio(source="microphone", type="numpy",label="Micro")
                 f = gr.Audio(source="upload", type="filepath", label="Audio file")
-                y = gr.Textbox(label="Enter YouTube address here")
-                v = gr.Video(label="Enter a video", include_audio=True, scale=0.5)
+                #y = gr.Textbox(label="Enter YouTube address here")
+                #v = gr.Video(label="Enter a video", include_audio=True, scale=0.5)
 
             with gr.Column():
                 with gr.Row(equal_height=True):
@@ -170,11 +169,12 @@ with gr.Blocks(title="Audio Fake Detector") as demo:
                     text = gr.Textbox(label="Probability of Real Voice")
         
         #file= gr.Audio(source="upload", type="filepath", optional=True)
-        button_clear = gr.ClearButton([m,f,y,v,text])
+        #button_clear = gr.ClearButton([m,f,y,v,text])
+        button_clear = gr.ClearButton([m,f,text])
         m.stop_recording(process_micro, inputs=[m], outputs=text)
         f.upload(process_file,inputs=[f], outputs=text)
-        y.submit(process_youtube, inputs=[y], outputs=text)
-        v.upload(process_video, inputs=[v], outputs=[text])
+        #y.submit(process_youtube, inputs=[y], outputs=text)
+        #v.upload(process_video, inputs=[v], outputs=[text])
 
     with gr.Tab("Batch Processing"):
         gr.Markdown("# Welcome to Loccus.ai synthetic voice detection demo!")