final deployment

app.py

@@ -3,6 +3,8 @@ from face_emotion_pipeline import process_video, process_image
 
 def process_file(file, is_video , skip = 1  , add_audio = True):
     # print("==========>", is_video)
+    print("==========>", skip)
+    print("==========>", add_audio)
     input_path = file.name
     output_path = "output." + ("mp4" if is_video else "png")
     if is_video == True:
@@ -13,7 +15,7 @@ def process_file(file, is_video , skip = 1  , add_audio = True):
 
 iface = gr.Interface(
     fn=process_file,
-    inputs=[gr.File(label="Upload File"), gr.Checkbox(label="Is Video?") , gr.Slider(1, 20, 1, value=10, label="Frame Skip"), gr.Checkbox(label="Add Audio?")],
+    inputs=[gr.File(label="Upload File"), gr.Checkbox(label="Is Video?") , gr.Slider(1, 20, 1.0, value=5, label="Frame Skip"), gr.Checkbox(label="Add Audio?")],
     outputs=gr.File(label="Processed File"),
     title="Face Emotion Detection",
     description="""Upload an image or video to detect and annotate emotions. <br>