Update app.py

app.py

@@ -1,24 +1,25 @@
 import gradio as gr
-import whisper
+from transformers import pipeline
 
-# Load Whisper model
-model = whisper.load_model("base")
+# Load Hugging Face's hosted Whisper model (small, fast)
+asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
 
 # Function to convert video to text
 def video_to_text(video):
-    result = model.transcribe(video)
-    return result["text"]
+    # Hugging Face pipeline can take audio from video
+    text = asr(video)["text"]
+    return text
 
-with gr.Blocks() as demo:
+with gr.Blocks(theme=gr.themes.Default(primary_hue="blue")) as demo:
     gr.Markdown(
         """
-        <h1 style='text-align: center; color: #2E86C1;'>🎥 Video-to-Text AI Tool</h1>
-        <p style='text-align: center;'>Convert your videos into text transcripts in seconds — powered by OpenAI's Whisper.</p>
-        <hr>
-        <b>How to use:</b><br>
-        1. Upload your video file (MP4, MOV, MKV, etc.)<br>
-        2. Wait for processing (time depends on length)<br>
-        3. Copy or download your transcript.
+        # 🎥 Video-to-Text AI Tool  
+        Convert your videos into text transcripts in **seconds** — powered by Hugging Face Whisper.  
+        ---
+        **Steps:**  
+        1. Upload a short video (MP4, MOV, MKV, etc.).  
+        2. Click **Generate Transcript**.  
+        3. Copy your transcript.  
         """
     )