Update app.py

app.py

@@ -93,13 +93,12 @@ def transcribe_audio(input_type, audio_url, file_store_key, language, request: g
 
 with gr.Blocks() as demo:
     gr.Markdown("""
-        <div style='text-align: center; margin-bottom: 24px;'>
-            <h1 style='font-size:2.2em; margin-bottom: 0.2em;'>Speech-to-Text Transcription</h1>
-            <p style='font-size:1.2em; margin-top: 0;'>Transcribe video and audio files with ease leveraging Whisper large V3 AI model.</p>
-            <p style='font-size:1em; margin-top: 0.5em;'>Supported formats: MP3, WAV, M4A, FLAC, AAC, OGG, WEBM. Max file size: 100MB, Max duration: 4 hours.</p>
-            <p style='font-size:0.9em; margin-top: 0.5em; color: #666;'>Rate limit: {MAX_REQUESTS} requests per {TIME_WINDOW} seconds per IP</p>
-        </div>
-        """)
+    <div style='text-align: center; margin-bottom: 24px;'>
+        <h1 style='font-size:2.2em; margin-bottom: 0.2em;'>🧩 Speech-to-Text Transcription</h1>
+        <p style='font-size:1.2em; margin-top: 0;'>Convert speech to text with ease.</p>
+        <p style='font-size:1em; margin-top: 0.5em;'>For more details and API usage, see the <a href='https://jigsawstack.com/docs/api-reference/ai/speech-to-text' target='_blank'>documentation</a>.</p>
+    </div>
+    """)
     with gr.Row():
         with gr.Column():
             gr.Markdown("#### Audio Input")