Update app.py

app.py

@@ -56,35 +56,4 @@ n_candidates = st.slider("Number waveforms to generate", 1.0, 5.0, 3.0, step=1.0
 random_seed = st.number_input("Seed", 1.0, 100.0, 45.0)
 
 if st.button("Submit"):
-    text2audio(text, negative_prompt, duration, guidance_scale, random_seed, n_candidates)
-
-st.markdown("### Output")
-st.markdown("Share your generations with the community by clicking the share icon at the top right of the generated audio!")
-
-st.markdown("Model by [Haohe Liu](https://twitter.com/LiuHaohe). Code and demo by 🤗 Hugging Face.")
-
-st.markdown("### Examples")
-examples = [
-    ["A hammer is hitting a wooden surface.", "Low quality.", 10, 3.5, 45, 3],
-    ["A cat is meowing for attention.", "Low quality.", 10, 3.5, 45, 3],
-    ["An excited crowd cheering at a sports game.", "Low quality.", 10, 3.5, 45, 3],
-    ["Birds singing sweetly in a blooming garden.", "Low quality.", 10, 3.5, 45, 3],
-    ["A modern synthesizer creating futuristic soundscapes.", "Low quality.", 10, 3.5, 45, 3],
-    ["The vibrant beat of Brazilian samba drums.", "Low quality.", 10, 3.5, 45, 3],
-]
-
-for example in examples:
-    st.markdown("---")
-    st.markdown(f"**Input**: {example[0]}")
-    st.markdown(f"**Negative Prompt**: {example[1]}")
-    st.markdown(f"**Duration**: {example[2]} seconds")
-    st.markdown(f"**Guidance Scale**: {example[3]}")
-    st.markdown(f"**Seed**: {example[4]}")
-    st.markdown(f"**Number Waveforms**: {example[5]}")
-    if st.button("Generate", key=f"example_{examples.index(example)}"):
-        text2audio(*example)
-
-st.markdown("### Additional Information")
-st.markdown(
-    "We build the model with data from [AudioSet](http://research.google.com/audioset/), [Freesound](https://freesound.org/), and [BBC Sound Effect library](https://sound-effects.bbcrewind.co.uk/). We share this demo based on the [UK copyright exception](https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/375954/Research.pdf) of data for academic research."
-)
+    text2audio(text, negative_prompt, duration, guidance_scale, random_seed, n_candidates)