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Update app.py
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app.py
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@@ -8,7 +8,7 @@ import asyncio
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import re
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# ======================================================
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# 🚀 Eroha Summarizer PRO
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# ======================================================
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# Кэш пайплайнов
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@@ -104,7 +104,6 @@ async def summarize_text(text: str):
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emo_label = emotions[0]["label"]
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emo_score = emotions[0].get("score", 0)
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# Маппинг эмоций
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emo_map = {
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"joy": "😊 Радость",
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"sadness": "😢 Грусть",
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@@ -116,16 +115,13 @@ async def summarize_text(text: str):
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}
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emotion = emo_map.get(emo_label.lower(), "😐 Нейтральное")
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# Определение темы и жанра
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topic = detect_topic(text)
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genre = detect_genre(text)
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color = "green" if "Радость" in emotion else "red" if "Гнев" in emotion or "Грусть" in emotion else "orange"
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# 🧠 <span style='color:#0073e6'>Eroha Summarizer PRO+++ v2.0</span>
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_(Автоязык: {'Русский' if lang == 'ru' else 'Английский'})_
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---
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@@ -148,13 +144,13 @@ _(Автоязык: {'Русский' if lang == 'ru' else 'Английский
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*Eroha Intelligence Suite — Multilingual AI summarizer powered by Hugging Face*
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"""
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return
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# =====================================================
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# 🌐 FastAPI backend
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# =====================================================
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app = FastAPI(title="Eroha Summarizer PRO
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app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
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@app.post("/api/full")
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@@ -171,19 +167,27 @@ async def api_lite(data: dict):
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return {"tldr": clean_result[:300]}
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# =====================================================
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# 🎨 Gradio интерфейс
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# =====================================================
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def gradio_summary(text):
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return asyncio.run(summarize_text(text))
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", server_port=7860)
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import re
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# ======================================================
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# 🚀 Eroha Summarizer PRO++++ v2.1 (by Yermek68)
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# ======================================================
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# Кэш пайплайнов
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emo_label = emotions[0]["label"]
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emo_score = emotions[0].get("score", 0)
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emo_map = {
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"joy": "😊 Радость",
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"sadness": "😢 Грусть",
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}
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emotion = emo_map.get(emo_label.lower(), "😐 Нейтральное")
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topic = detect_topic(text)
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genre = detect_genre(text)
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color = "green" if "Радость" in emotion else "red" if "Грусть" in emotion or "Гнев" in emotion else "orange"
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formatted_output = f"""
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# 🧠 <span style='color:#0073e6'>Eroha Summarizer PRO++++ v2.1</span>
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_(Автоязык: {'Русский' if lang == 'ru' else 'Английский'})_
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---
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*Eroha Intelligence Suite — Multilingual AI summarizer powered by Hugging Face*
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"""
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return formatted_output.strip()
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# =====================================================
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# 🌐 FastAPI backend
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# =====================================================
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app = FastAPI(title="Eroha Summarizer PRO++++ v2.1", version="2.1")
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app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
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@app.post("/api/full")
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return {"tldr": clean_result[:300]}
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# =====================================================
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# 🎨 Gradio интерфейс с кнопками
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# =====================================================
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def gradio_summary(text):
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return asyncio.run(summarize_text(text))
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with gr.Blocks(title="Eroha Summarizer PRO++++ v2.1") as iface:
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gr.Markdown("## 🧠 Eroha Summarizer PRO++++ v2.1\nAI-инструмент нового поколения для анализа, темы, эмоций и автоопределения языка (рус/англ/нем/исп/фр).")
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text_input = gr.Textbox(lines=10, label="Введите текст для анализа и суммаризации")
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result_output = gr.Markdown(label="Результат")
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with gr.Row():
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copy_btn = gr.Button("📋 Копировать")
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download_btn = gr.Button("💾 Скачать результат")
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text_input.submit(gradio_summary, inputs=text_input, outputs=result_output)
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copy_btn.click(lambda x: x, inputs=result_output, outputs=None)
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download_btn.click(lambda x: gr.File.update(value=x.encode("utf-8"), visible=True), inputs=result_output, outputs=None)
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gr.Markdown("---\n✨ _Eroha Intelligence Suite © 2025 — by Yermek68_")
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if __name__ == "__main__":
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iface.launch(server_name="0.0.0.0", server_port=7860)
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