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Update app.py
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app.py
CHANGED
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@@ -6,57 +6,49 @@ import os
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client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct", token=os.getenv("HF_TOKEN"))
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def process_text_simple(user_input, tone, task, language):
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# Базовая проверка ввода
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if not user_input or not user_input.strip():
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return "Пожалуйста, введите текст для обработки."
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prompt = f"Инструкция: {task}. Тон: {tone}. Язык: {language}.\nТекст для обработки: {user_input}"
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messages = [
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{"role": "system", "content": "
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{"role": "user", "content": prompt}
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]
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full_response = ""
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try:
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#
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for chunk in client.chat_completion(messages=messages, max_tokens=1000, stream=True):
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except Exception as e:
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yield f"
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# Создание интерфейса
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with gr.Blocks() as demo:
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gr.HTML("<div style='text-align:center;'><h1>🌈 AI Text Genius</h1><p>Версия 6.
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with gr.Row():
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with gr.Column():
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# Отображение логотипа
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if os.path.exists("logo.png"):
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gr.Image("logo.png", show_label=False, container=False, height=120)
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text_input = gr.Textbox(label="Введите текст", lines=5
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with gr.Row():
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tone = gr.Dropdown(["Нейтральный", "Официальный", "Дерзкий", "Дружелюбный"], label="Настроение", value="Нейтральный")
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task = gr.Dropdown(["Перевести", "Суммировать", "Улучшить стиль"
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lang = gr.Dropdown(["Русский", "English", "Deutsch"
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btn = gr.Button("🚀 Обработать
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with gr.Column():
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output = gr.Textbox(label="Результат
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btn.click(
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fn=process_text_simple,
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inputs=[text_input, tone, task, lang],
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outputs=[output]
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)
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# Запуск
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demo.launch(theme="soft")
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client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct", token=os.getenv("HF_TOKEN"))
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def process_text_simple(user_input, tone, task, language):
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if not user_input or not user_input.strip():
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return "Пожалуйста, введите текст для обработки."
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prompt = f"Instruction: {task}. Tone: {tone}. Language: {language}.\nText: {user_input}"
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messages = [
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{"role": "system", "content": "You are a helpful AI assistant. Respond only with the requested transformation."},
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{"role": "user", "content": prompt}
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]
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full_response = ""
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try:
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# Добавляем строгую проверку каждого чанка
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for chunk in client.chat_completion(messages=messages, max_tokens=1000, stream=True):
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if chunk.choices and len(chunk.choices) > 0: # <-- Вот эта проверка уберет ошибку
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token = chunk.choices[0].delta.content
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if token:
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full_response += token
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yield full_response
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except Exception as e:
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yield f"Ошибка API: {str(e)}"
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# Создание интерфейса
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with gr.Blocks() as demo:
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gr.HTML("<div style='text-align:center;'><h1>🌈 AI Text Genius</h1><p>Версия 6.3 (Stable)</p></div>")
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with gr.Row():
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with gr.Column():
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if os.path.exists("logo.png"):
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gr.Image("logo.png", show_label=False, container=False, height=120)
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text_input = gr.Textbox(label="Введите текст", lines=5)
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with gr.Row():
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tone = gr.Dropdown(["Нейтральный", "Официальный", "Дерзкий", "Дружелюбный"], label="Настроение", value="Нейтральный")
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task = gr.Dropdown(["Перевести", "Суммировать", "Улучшить стиль"], label="Задача", value="Перевести")
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lang = gr.Dropdown(["Русский", "English", "Deutsch"], label="Язык", value="Русский")
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btn = gr.Button("🚀 Обработать", variant="primary")
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with gr.Column():
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output = gr.Textbox(label="Результат", lines=12, interactive=False)
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btn.click(fn=process_text_simple, inputs=[text_input, tone, task, lang], outputs=[output])
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demo.launch(theme="soft")
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