Create app.py

app.py

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+import gradio as gr
+import requests
+import numpy as np
+import io
+import soundfile as sf  # To read audio data into NumPy array
+
+# Placeholder API URLs (Replace with actual endpoints)
+TRANSLATION_API_URL = "https://twcc2.eztalking.ai/nantrans/inference"
+TTS_API_URL = "http://twcc2.eztalking.ai/mtts/tts"
+
+
+def fetch_translation(text, target_language):
+    # Mock implementation (Replace with actual API call)
+    payload = {
+        "input_text": text,
+        "id": "1",
+        "src_lang": "zh",
+        "tgt_lang": "tw"
+    }
+
+    response = requests.post(TRANSLATION_API_URL, json=payload)
+    if response.status_code == 200:
+        return response.text
+    return "Translation failed."
+
+
+def fetch_tts_audio(translated_text, spk):
+    # Mock implementation (Replace with actual API call)
+    payload = {
+        "input_text": translated_text,
+        "id": "1",
+        "src_lang": "tw",
+        "tgt_lang": "tailo"
+    }
+
+    # response = requests.post(TRANSLATION_API_URL, json=payload)
+    # if response.status_code == 200:
+    #     translated_text = response.text
+    payload = {
+        "text": translated_text,  # "tw_convert": False,
+        "b64enc": False, "speaker": spk, "speed": 0.9
+    }
+
+    response = requests.post(TTS_API_URL, json=payload)
+    if response.status_code == 200:
+        # Read the audio data from the response content into a NumPy array
+        audio_data, sample_rate = sf.read(io.BytesIO(response.content))
+        return audio_data, sample_rate
+    return None, None
+
+
+def translate_and_speak(text, target_language, spk):
+    translated_text = fetch_translation(text, target_language)
+
+    if not translated_text:
+        return "Translation failed.", None
+
+    audio_data, sample_rate = fetch_tts_audio(translated_text, spk)
+    if audio_data is not None:
+        return translated_text, (sample_rate, audio_data)
+    return translated_text, None
+
+
+spk_list = requests.get("http://twcc2.eztalking.ai/mtts/list_speakers").json()
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=translate_and_speak,
+    inputs=[
+        gr.Textbox(label="Enter Text"),
+        gr.Dropdown(choices=["en", "es", "fr", "de"], label="Target Language", value="en"),
+        gr.Dropdown(choices=spk_list, label="Select Speaker", value=spk_list[0])
+    ],
+    outputs=[
+        gr.Textbox(label="Translated Text"),
+        gr.Audio(label="TTS Audio", type="numpy")
+    ],
+    title="Text Translator with TTS",
+    description="Translate text to a selected language and generate TTS audio."
+)
+
+iface.launch()