Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+
+# Получаем токен из переменной окружения
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+# Функция для запроса к Hugging Face Inference API
+def translate(text, target_language):
+    headers = {
+        "Authorization": f"Bearer {HF_TOKEN}"
+    }
+    data = {
+        "inputs": text,
+        "parameters": {"target_language": target_language},
+    }
+    response = requests.post("https://api-inference.huggingface.co/models/facebook/mbart-large-50-many-to-many-mmt", headers=headers, json=data)
+    return response.json()[0]["translation_text"]
+
+# Список доступных языков для перевода
+languages = [
+    "ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI",
+    "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "ko_KR", "mr_IN",
+    "nl_XX", "ro_RO", "ru_RU", "sv_SE", "tr_TR", "zh_CN"
+]
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        text_input = gr.Textbox(lines=3, placeholder="Введите текст для перевода")
+        language_dropdown = gr.Dropdown(choices=languages, value="en_XX", label="Выберите язык перевода")
+    with gr.Row():
+        translate_button = gr.Button("Перевести")
+    with gr.Row():
+        output = gr.Textbox(label="Перевод")
+
+    translate_button.click(fn=translate, inputs=[text_input, language_dropdown], outputs=output)
+
+demo.launch()