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README.md

@@ -1,14 +1,15 @@
----
-title: Kmr Tts
-emoji: 🌖
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 5.34.0
-app_file: app.py
-pinned: false
-license: apache-2.0
-short_description: Kurdish TTS Servise
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Kurdish TTS
+emoji: 🔈
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: "4.24.0"
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+# 🔈 Kurdish TTS (Text-to-Speech)
+
+Enter text and get synthesized speech audio using a pre-trained Coqui TTS model.

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import pipeline
+
+tts = pipeline("text-to-speech", model="ttscoqui/universal-libritts")
+
+def synthesize(text):
+    audio = tts(text)["wav"]
+    # The pipeline returns numpy array, Gradio needs filepath or array + sample rate tuple
+    return (tts.feature_extractor.sampling_rate, audio)
+
+gr.Interface(
+    fn=synthesize,
+    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
+    outputs=gr.Audio(type="numpy"),
+    title="TTS Demo",
+    description="Enter text and get speech synthesis from Coqui TTS model."
+).launch()

requirements.txt

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+transformers
+gradio
+torch
+soundfile