Update app.py

app.py

@@ -1,15 +1,19 @@
 import gradio as gr
 from transformers import pipeline
 
-def video_to_text(video_path):
-    asr = pipeline("automatic-speech-recognition", model="openai/whisper-small", device=-1)
-    text = asr(video_path)["text"]
+# Load the ASR model once (faster, avoids reloading each time)
+asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
+
+def video_to_text(video_file):
+    if video_file is None:
+        return "Please upload a video file."
+    text = asr(video_file)["text"]
     return text
 
 with gr.Blocks(theme=gr.themes.Default(primary_hue="blue")) as demo:
     gr.Markdown("# 🎥 Video-to-Text AI Tool\nUpload a video and get the transcript instantly.")
     
-    video_input = gr.Video(label="Upload Video", type="filepath")
+    video_input = gr.Video(label="Upload Video")
     transcript_output = gr.Textbox(label="Transcript", lines=10)
     
     btn = gr.Button("Generate Transcript")