Update app.py
Browse files
app.py
CHANGED
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@@ -8,15 +8,15 @@ logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Загружаем модель
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model_name = "
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try:
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logger.info(f"Попытка загрузки модели {model_name}...")
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generator = pipeline(
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"text-generation",
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model=model_name,
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device=-1,
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framework="pt",
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max_length=
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truncation=True,
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model_kwargs={"torch_dtype": torch.float32}
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)
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@@ -25,7 +25,7 @@ except Exception as e:
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logger.error(f"Ошибка загрузки модели: {e}")
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exit(1)
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def respond(message, max_tokens=
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try:
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logger.info(f"Генерация ответа для: {message}")
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outputs = generator(
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@@ -34,7 +34,6 @@ def respond(message, max_tokens=256, temperature=0.7, top_p=0.9):
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temperature=temperature,
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top_p=top_p,
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do_sample=True,
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no_repeat_ngram_size=2,
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num_return_sequences=1
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)
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response = outputs[0]["generated_text"].strip()
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@@ -48,14 +47,14 @@ demo = gr.Interface(
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fn=respond,
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inputs=[
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gr.Textbox(label="Ваше сообщение", placeholder="Опишите симптомы (например, 'Болит горло')..."),
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gr.Slider(minimum=50, maximum=
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gr.Slider(minimum=0.1, maximum=1.
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gr.Slider(minimum=0.1, maximum=1.0, value=0.9, label="Top-p")
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],
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outputs="text",
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title="Медицинский чат-бот на базе
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theme=gr.themes.Soft()
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)
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if __name__ == "__main__":
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demo.launch(
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logger = logging.getLogger(__name__)
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# Загружаем модель
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model_name = "ai-forever/rugpt-3.5B-103billion-tokens"
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try:
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logger.info(f"Попытка загрузки модели {model_name}...")
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generator = pipeline(
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"text-generation",
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model=model_name,
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device=-1, # CPU
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framework="pt",
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max_length=150, # Уменьшаем для оптимизации
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truncation=True,
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model_kwargs={"torch_dtype": torch.float32}
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)
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logger.error(f"Ошибка загрузки модели: {e}")
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exit(1)
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def respond(message, max_tokens=150, temperature=0.7, top_p=0.9):
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try:
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logger.info(f"Генерация ответа для: {message}")
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outputs = generator(
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temperature=temperature,
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top_p=top_p,
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do_sample=True,
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num_return_sequences=1
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)
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response = outputs[0]["generated_text"].strip()
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fn=respond,
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inputs=[
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gr.Textbox(label="Ваше сообщение", placeholder="Опишите симптомы (например, 'Болит горло')..."),
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gr.Slider(minimum=50, maximum=300, value=150, step=10, label="Макс. токенов"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.7, label="Температура"),
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gr.Slider(minimum=0.1, maximum=1.0, value=0.9, label="Top-p")
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],
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outputs="text",
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title="Медицинский чат-бот на базе RuGPT-3.5B",
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theme=gr.themes.Soft()
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)
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if __name__ == "__main__":
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demo.launch()
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