diff --git a/riffusion/streamlit/pages/text_to_audio.py b/riffusion/streamlit/pages/text_to_audio.py
index 48ccbbf..16aeca2 100644
--- a/riffusion/streamlit/pages/text_to_audio.py
+++ b/riffusion/streamlit/pages/text_to_audio.py
@@ -28,11 +28,33 @@ def render_text_to_audio() -> None:
 
     device = streamlit_util.select_device(st.sidebar)
 
-    prompt = st.text_input("Prompt")
-    negative_prompt = st.text_input("Negative prompt")
+    with st.form("Inputs"):
+        prompt = st.text_input("Prompt")
+        negative_prompt = st.text_input("Negative prompt")
 
-    with st.sidebar.expander("Text to Audio Params", expanded=True):
-        seed = T.cast(int, st.number_input("Seed", value=42))
+        row = st.columns(4)
+        num_clips = T.cast(
+            int,
+            row[0].number_input(
+                "Number of clips",
+                value=1,
+                min_value=1,
+                max_value=25,
+                help="How many outputs to generate (seed gets incremented)",
+            ),
+        )
+        starting_seed = T.cast(
+            int,
+            row[1].number_input(
+                "Seed",
+                value=42,
+                help="Change this to generate different variations",
+            ),
+        )
+
+        st.form_submit_button("Riff", type="primary")
+
+    with st.sidebar:
         num_inference_steps = T.cast(int, st.number_input("Inference steps", value=50))
         width = T.cast(int, st.number_input("Width", value=512))
         guidance = st.number_input(
@@ -43,32 +65,37 @@ def render_text_to_audio() -> None:
         st.info("Enter a prompt")
         return
 
-    image = streamlit_util.run_txt2img(
-        prompt=prompt,
-        num_inference_steps=num_inference_steps,
-        guidance=guidance,
-        negative_prompt=negative_prompt,
-        seed=seed,
-        width=width,
-        height=512,
-        device=device,
-    )
-
-    st.image(image)
-
     # TODO(hayk): Change the frequency range to [20, 20k] once the model is retrained
     params = SpectrogramParams(
         min_frequency=0,
         max_frequency=10000,
     )
 
-    audio_bytes = streamlit_util.audio_bytes_from_spectrogram_image(
-        image=image,
-        params=params,
-        device=device,
-        output_format="mp3",
-    )
-    st.audio(audio_bytes)
+    seed = starting_seed
+    for i in range(1, num_clips + 1):
+        st.write(f"#### Riff {i} / {num_clips} - Seed {seed}")
+
+        image = streamlit_util.run_txt2img(
+            prompt=prompt,
+            num_inference_steps=num_inference_steps,
+            guidance=guidance,
+            negative_prompt=negative_prompt,
+            seed=seed,
+            width=width,
+            height=512,
+            device=device,
+        )
+        st.image(image)
+
+        audio_bytes = streamlit_util.audio_bytes_from_spectrogram_image(
+            image=image,
+            params=params,
+            device=device,
+            output_format="mp3",
+        )
+        st.audio(audio_bytes)
+
+        seed += 1
 
 
 if __name__ == "__main__":