added title and description

app.py

@@ -29,7 +29,13 @@ diffuser_pipeline = diffuser_pipeline.to(device)
 
 #————————————————————————————————————————————
 # GRADIO SETUP
-
+title = "Speech to Diffusion • Community Pipeline"
+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.
+Community examples consist of both inference and training examples that have been added by the community.
+<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>
+"""
 audio_input = gr.Audio(source="microphone", type="numpy")
 image_output = gr.Image()
 
@@ -45,5 +51,5 @@ def speech_to_text(audio_sample):
   
   return output.images[0]
 
-demo = gr.Interface(fn=speech_to_text, inputs=audio_input, outputs=image_output)
+demo = gr.Interface(fn=speech_to_text, inputs=audio_input, outputs=image_output, title=title, description=description)
 demo.launch()