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README.md

@@ -1,12 +1,13 @@
 ---
 title: Hebrew Chat
-emoji: 🐢
-colorFrom: green
-colorTo: green
+emoji: 📉
+colorFrom: blue
+colorTo: red
 sdk: gradio
-sdk_version: 5.23.2
+sdk_version: 5.23.1
 app_file: app.py
 pinned: false
+short_description: AI agent in Hebrew for everyday conversations
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,48 @@
+# -*- coding: utf-8 -*-
+import gradio as gr
+from faster_whisper import WhisperModel
+from israwave import IsrawaveTTS
+import tempfile
+import os
+import zipfile
+from huggingface_hub import hf_hub_download
+
+# Download model files from HF dataset (YoniAfek/israwaveTTS)
+espeak_zip_path = hf_hub_download(repo_id="YoniAfek/israwaveTTS", filename="espeak-ng-data.zip")
+israwave_path = hf_hub_download(repo_id="YoniAfek/israwaveTTS", filename="israwave.onnx")
+nakdimon_path = hf_hub_download(repo_id="YoniAfek/israwaveTTS", filename="nakdimon.onnx")
+
+# Extract espeak-ng-data
+espeak_dir = os.path.join(tempfile.gettempdir(), "espeak-ng-data")
+os.makedirs(espeak_dir, exist_ok=True)
+with zipfile.ZipFile(espeak_zip_path, "r") as zip_ref:
+    zip_ref.extractall(espeak_dir)
+
+# Load whisper
+whisper_model = WhisperModel("ivrit-ai/whisper-large-v3-turbo-ct2")
+
+# Load israwave TTS
+tts = IsrawaveTTS(
+    model_path=israwave_path,
+    speaker_model_path=nakdimon_path,
+    espeak_data_path=espeak_dir
+)
+
+# Transcribe + speak
+def process_audio(audio_path):
+    segments, _ = whisper_model.transcribe(audio_path, language="he")
+    text = " ".join([seg.text for seg in segments])
+    tts_path = tempfile.NamedTemporaryFile(delete=False, suffix=".wav").name
+    tts.tts_to_file(text, tts_path)
+    return text, tts_path
+
+# Interface
+demo = gr.Interface(
+    fn=process_audio,
+    inputs=gr.Audio(type="filepath", label="🎙️ הקלט את עצמך"),
+    outputs=[gr.Text(label="תמלול"), gr.Audio(label="חזרה בקול עברי")],
+    title="תמלול ודיבור עם Israwave",
+    description="המערכת מתמללת את מה שנאמר ומשמיעה אותו חזרה בקול עברי. הקבצים יורדים מ-Hugging Face Datasets"
+)
+
+demo.launch()

requirements.txt

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+gradio
+faster-whisper
+israwave
+huggingface_hub