Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,46 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+import torch
+from diffusers import AudioLDM2Pipeline
+import scipy
+import tempfile
+import os
+
+# Titel
+st.set_page_config(page_title="💨 text2fart", page_icon="💀")
+st.title("💨 text2fart mit Streamlit")
+st.markdown("Schreib einen beliebigen Text – und hör den furzigen Klang deiner Kreativität! 😆")
+
+# Prompt-Eingabe
+prompt = st.text_input("Text eingeben:", placeholder="z. B. 'Apokalyptischer Trompetenfurz bei Sonnenuntergang'")
+
+# Model laden (nur einmal)
+@st.cache_resource
+def load_model():
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    # pipe = DiffusionPipeline.from_pretrained("spaceinvader/text2fart")
+    pipe = AudioLDM2Pipeline.from_pretrained(
+        "spaceinvader/text2fart",
+        torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+        variant="fp16" if torch.cuda.is_available() else None,
+    )
+    return pipe.to(device)
+
+pipe = load_model()
+
+# Button
+if st.button("💥 Furz generieren"):
+    if not prompt.strip():
+        st.warning("Gib bitte etwas ein. Selbst KI braucht Inspiration 😅")
+    else:
+        with st.spinner("Furze werden destilliert..."):
+            result = pipe(prompt, num_inference_steps=20)
+            audio = result["audio"][0]
+            sample_rate = 16000
+
+            # Temporäre WAV-Datei
+            with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmpfile:
+                scipy.io.wavfile.write(tmpfile.name, rate=sample_rate, data=audio)
+                st.audio(tmpfile.name, format="audio/wav")
+                st.success("Text erfolgreich vertont 💀💨")
+                # Datei am Ende löschen (optional)
+                os.unlink(tmpfile.name)