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Update appp.py
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appp.py
CHANGED
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import gradio as gr
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import requests
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import json
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import groq
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#
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payload = {
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"model": "mixtral-8x7b-32768",
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"messages": [
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{"role": "
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]
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer
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}
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try:
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response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, data=json.dumps(payload))
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if response.status_code == 200:
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data = response.json()
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else:
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return f"
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except requests.exceptions.RequestException as e:
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return f"
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# Function to interact with the Groq API for leak report analysis
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def leak_report_function(message):
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# Define the request payload
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payload = {
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"model": "llama3-8b-8192",
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"messages": [
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{
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"role": "system",
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"content": "Вы являетесь системой, анализирующей утечки в безопасном режиме, "
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"avoid sharing sensitive personal or confidential data. "
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"Generate leak report details in a JSON structure with the following format in Russian:\n"
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f"{json.dumps(LeakReport.model_json_schema(), indent=2)}"
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},
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{
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"role": "user",
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"content": f"Сгенерируйте отчет о потенциальных утечках для следующих данных без включения конфиденциальных данных (отчет должен быть на русском языке):\n"
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f"{message}"
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},
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],
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"temperature": 0,
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"stream": False,
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"response_format": {"type": "json_object"},
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}
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gr.
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gr.Interface(
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fn=leak_report_function,
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inputs=gr.Textbox(placeholder="Enter data for leak report..."),
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outputs="json",
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title="Groq-Gradio Leak Report",
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theme="default",
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).launch(share=True)
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import gradio as gr
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import requests
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import json
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# Ключевая информация из JSON
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SYSTEM_NAME = "WhiteRabbitNeo"
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SYSTEM_VERSION = "Beta-AI"
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SYSTEM_DESCRIPTION = "Система поддержки команды Red Team, предназначенная для анализа, улучшения и проверки кода."
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# Функция анализа и обработки кода
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def analyze_code(input_code):
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payload = {
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"model": "mixtral-8x7b-32768",
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"messages": [
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{"role": "system", "content": f"Вы используете {SYSTEM_NAME} версии {SYSTEM_VERSION}. {SYSTEM_DESCRIPTION}"},
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{"role": "user", "content": input_code}
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]
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer 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"
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}
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try:
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response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, data=json.dumps(payload))
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if response.status_code == 200:
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data = response.json()
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analysis = data.get("choices", [{}])[0].get("message", {}).get("content", "No content available")
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return analysis
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else:
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return f"Ошибка: {response.status_code}, {response.text}"
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except requests.exceptions.RequestException as e:
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return f"Ошибка при выполнении запроса: {e}"
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# Стилизация интерфейса в стиле нейропанка
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neuropunk_theme = {
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"background": "linear-gradient(135deg, #0f0c29, #302b63, #24243e)", # Градиент
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"text_color": "#E6E6FA", # Лавандовый текст
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"button_color": "#ff007f", # Яркие кнопки
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"textbox_color": "#141414", # Фон ввода
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"border_radius": "12px", # Скругление углов
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}
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# Интерфейс Gradio
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def style_widget(widget, styles):
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widget.style(
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rounded=True,
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background_color=styles.get("textbox_color"),
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text_color=styles.get("text_color"),
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border_width=1
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)
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with gr.Blocks() as app:
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with gr.Row():
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gr.Markdown(
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f"# {SYSTEM_NAME} — {SYSTEM_DESCRIPTION}\n\n*Версия*: {SYSTEM_VERSION}",
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elem_id="header",
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style={"color": neuropunk_theme["text_color"], "text_align": "center"}
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)
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with gr.Row():
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code_input = gr.Textbox(
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placeholder="Введите ваш код или текст для анализа...",
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lines=8,
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elem_id="code_input"
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)
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style_widget(code_input, neuropunk_theme)
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with gr.Row():
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output_display = gr.Textbox(
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placeholder="Результат анализа появится здесь...",
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lines=10,
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elem_id="output_display",
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interactive=False
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)
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style_widget(output_display, neuropunk_theme)
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with gr.Row():
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analyze_button = gr.Button("Проанализировать")
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analyze_button.click(analyze_code, inputs=[code_input], outputs=[output_display])
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style_widget(analyze_button, neuropunk_theme)
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app.launch(share=True)
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