Update app.py

app.py

@@ -41,22 +41,14 @@ def rt_transcribe(audio, state=""):
 demo = gr.Blocks()
 examples=[["examples/example1.mp3"], ["examples/example2.mp3"],["examples/example3.mp3"]]
 
-<style>
-  .full-bg {
-    background-image: url('https://huggingface.co/spaces/SakshiRathi77/SakshiRathi77-Wav2Vec2-hi-kagglex/resolve/main/Images/image-bg.jpg');
-    background-size: cover;
-    height: 100vh;
-  }
-</style>
 
 
-description = """
 
-<div class="full-bg">
+description = """
 <p style="font-family: 'Arial', sans-serif; font-size: 24px; font-weight: bold;">
 <center>
 Welcome to the HindiSpeechPro, a cutting-edge interface powered by a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. Easily convert your spoken words to accurate text with just a few clicks.
-<img src="https://huggingface.co/spaces/SakshiRathi77/SakshiRathi77-Wav2Vec2-hi-kagglex/blob/main/Images/Hindi-Speech-Voice-Recognition-Tool.jpg" alt="logo" style="width:500px;height:auto;>
+<img src="https://huggingface.co/spaces/SakshiRathi77/SakshiRathi77-Wav2Vec2-hi-kagglex/resolve/main/Images/Hindi-Speech-Voice-Recognition-Tool.jpg" alt="logo" ;>
 </center>
 </p>
 </div>