deepseek.py

# 看图写话
import ollama
import base64

# 看图写话
def image_to_base64(image_path):
    with open(image_path, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
    return encoded_string


def ollama_image_caption(image_path):
    client = ollama.Client(host='http://localhost:11434')
    # 将图片转换为 base64 编码
    base64_image = image_to_base64(image_path)
    # 设置提示语，引导模型对图片进行描述
    prompt = "根据图写一篇200字的中文作文："
    response = client.generate(
        model='deepseek-r1:1.5b', prompt=prompt, images=[base64_image])
    return response


# 调用
image_path = "/Users/apple/github/ollama-study/demos/assets/1.png" # 替换为你的图片路径
caption = ollama_image_caption(image_path)
print(caption)

'''
[Running] python -u "/Users/apple/github/ollama-study/demos/deepseek.py"
输出结果：
model='deepseek-r1:1.5b' 
created_at='2025-02-12T10:05:29.405577Z' 
done=True done_reason='stop' 
total_duration=21268322705 
load_duration=2351128017
prompt_eval_count=20 
prompt_eval_duration=615000000 
eval_count=511 eval_duration=18250000000 
response='<think>\n好，我现在得帮用户写一个关于“图”的200字中文作文。首先，我要理解用户提供的图片描述。虽然图片没有展示出来，但根据常见的考试题型和作业题目，可能是数学图形或者几何题。\n\n接下来，我需要构思文章的结构。通常来说，一篇200字左右的文章可以分为引言、正文和结论三个部分。引言部分可以用一个具体的事例来引出主题，比如一个同学在图上看到老师帮助他解决问题的情节。这样既生动又容易引起兴趣。\n\n正文部分要详细描述这个故事中的每个关键点。例如，首先，学生发现自己的作业写错了，然后得到老师的指导，老师用简单的方法纠正了错误，最后学生取得进步。这样的叙述能够清晰传达老师对学生帮助的肯定和鼓励。\n\n结论部分可以总结整个故事的价值，强调教师的辛勤和教导的重要性，并呼应开头的话，让文章有一个完整的收尾。同时，要确保语言简洁，不超过200字，保持流畅自然。\n\n如果图片中的图是一个具体的例子，比如数学中的几何问题或者物理中的力的分解，我需要选择一个能够展示帮助和进步的例子来展开叙述。这样不仅符合题意，也容易让读者理解。\n\n最后，检查一下整个作文是否符合要求，确保语言准确，结构合理，字数合适。如果有不清楚的地方，可以多读几遍或与同学讨论，确认无误后再提交。\n</think>\n\n## 例说老师眼中的"差"学生成色如花\n \n 有一次，我在数学作业上看到一道题的运算步骤写得马虎潦草：2987+4503=3462。我灵机一动，心想：“老师，这个题目是不是我抄错了数字？”于是，我把纸巾折了个大弧线，指着老师说："我就是这么看着，你的眼神真深邃！"\n \n 老师愣了一下，立刻严肃地说："你来重新检查一遍这道题。"我认真地把作业仔细检查了一遍，发现我写的步骤完全正确，只是抄写时的笔势不自然。我犯了一个低级错误，却让老师露出欣慰的笑容。\n \n 这场意外的经历让我明白：教育是一门细碎的工程，每一个看似微小的失误都可能引发老师的严厉批评，而真正能改变一个人命运的事例，往往来自于细节中的坚持与努力。' 
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'''