Update app.py

app.py

@@ -1,69 +1,47 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
-import datetime
-import requests
-import pytz
-import yaml
-from tools.final_answer import FinalAnswerTool
+import gradio as gr
+from deep_translator import GoogleTranslator
+from gtts import gTTS
+import os
 
-from Gradio_UI import GradioUI
-
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
-
-@tool
-def get_current_time_in_timezone(timezone: str) -> str:
-    """A tool that fetches the current local time in a specified timezone.
+def translate_and_speak(text: str, target_lang: str = "ru") -> str:
+    """Переводит текст на выбранный язык и озвучивает его.
     Args:
-        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+        text: Входной текст.
+        target_lang: Целевой язык (по умолчанию - русский).
+    Returns:
+        Путь к аудиофайлу для воспроизведения.
     """
     try:
-        # Create timezone object
-        tz = pytz.timezone(timezone)
-        # Get current time in that timezone
-        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
-        return f"The current local time in {timezone} is: {local_time}"
+        translated_text = GoogleTranslator(source="auto", target=target_lang).translate(text)
+        tts = gTTS(translated_text, lang=target_lang)
+        
+        filename = "translated_speech.mp3"
+        tts.save(filename)
+        
+        return filename  # Возвращаем путь к файлу
     except Exception as e:
-        return f"Error fetching time for timezone '{timezone}': {str(e)}"
-
-
-final_answer = FinalAnswerTool()
-
-# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
-# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
-
-model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
-)
-
-
-# Import tool from Hub
-image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
-
-with open("prompts.yaml", 'r') as stream:
-    prompt_templates = yaml.safe_load(stream)
-    
-agent = CodeAgent(
-    model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
-
-
-GradioUI(agent).launch()
+        return f"Ошибка: {str(e)}"
+
+# Создание интерфейса Gradio
+def generate_audio(text, language):
+    audio_path = translate_and_speak(text, language)
+    return audio_path
+
+lang_options = {
+    "Русский": "ru",
+    "Английский": "en",
+    "Французский": "fr",
+    "Немецкий": "de",
+    "Испанский": "es"
+}
+
+gr.Interface(
+    fn=generate_audio,
+    inputs=[
+        gr.Textbox(label="Введите текст"),
+        gr.Dropdown(choices=list(lang_options.keys()), value="Русский", label="Выберите язык перевода")
+    ],
+    outputs=gr.Audio(label="Озвученный перевод"),
+    title="Переводчик с озвучкой",
+    description="Введите текст, выберите язык, и получите аудиофайл с переводом."
+).launch()