Update app.py

app.py

@@ -30,15 +30,12 @@ diffuser_pipeline = diffuser_pipeline.to(device)
 
 #————————————————————————————————————————————
 # GRADIO SETUP
-title = "Speech to Diffusion • Community Pipeline"
+title = "说出画面"
 description = """
-<p style='text-align: center;'>This demo can generate an image from an audio sample using pre-trained OpenAI whisper-small and Stable Diffusion.<br />
-Community examples consist of both inference and training examples that have been added by the community.<br />
-<a href='https://github.com/huggingface/diffusers/tree/main/examples/community#speech-to-image' target='_blank'> Click here for more information about community pipelines </a>
-</p>
+
 """
 article = """
-<p style='text-align: center;'>Community pipeline by Mikail Duzenli • Gradio demo by Sylvain Filoni & Ahsen Khaliq<p>
+
 """
 audio_input = gr.Audio(source="microphone", type="filepath")
 image_output = gr.Image()