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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+bg.jpg filter=lfs diff=lfs merge=lfs -text
+output.wav filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,62 @@
+import base64
+
+import streamlit as st
+import torch
+import soundfile as sf
+from kokoro import KPipeline
+
+
+def get_base64_of_bin_file(bin_file):
+    with open(bin_file, 'rb') as f:
+        data = f.read()
+    return base64.b64encode(data).decode()
+
+def set_png_as_page_bg(png_file):
+        bin_str = get_base64_of_bin_file(png_file)
+        page_bg_img = f"""
+        <style>
+        .stApp {{
+            background-image: url("data:image/png;base64,{bin_str}");
+            background-size: cover;
+            background-repeat: no-repeat;
+            background-attachment: fixed; /* Optional: keeps background fixed on scroll */
+        }}
+        </style>
+        """
+        st.markdown(page_bg_img, unsafe_allow_html=True)
+
+@st.cache_resource
+def load_pipeline():
+    return KPipeline(lang_code='a')  # change lang if needed
+
+pipeline = load_pipeline()
+
+image_path = "bg.jpg"
+set_png_as_page_bg(image_path)
+
+st.title("Text to Voice Bot")
+
+
+text = st.text_area("Enter text to convert into speech:", "")
+voice = st.selectbox("Choose a voice", ["af_bella", "af_nicole", "am_adam", "bf_alice", "bm_george", "bm_lewis"])
+
+if st.button("🔊 Generate Voice"):
+    if text.strip():
+        generator = pipeline(text, voice=voice, speed=1.0)
+        audio_path = "output.wav"
+
+        with sf.SoundFile(audio_path, "w", samplerate=24000, channels=1) as f:
+            for _, _, audio in generator:
+                f.write(audio)
+
+        st.audio(audio_path, format="audio/wav")
+        with open(audio_path, "rb") as audio_file:
+            st.download_button(
+                label="⬇️ Download Audio",
+                data=audio_file,
+                file_name="output.wav",
+                mime="audio/wav"
+            )
+        st.success("✅ Voice generated successfully!")
+    else:
+        st.warning("⚠️ Please enter some text.")

output.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e1ccf9d81cec17e0f56fd1736a52b311f192ecfbb6bd68c8fbf6a15d11802d6
+size 788444

requirements.txt

@@ -1,3 +1,7 @@
-altair
-pandas
-streamlit
+streamlit
+torch
+torchaudio
+transformers
+soundfile
+kokoro
+base64