95 lines
18 KiB
Plaintext
95 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## DeepSeek chat",
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"id": "30e5d6d67a4f7d15"
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},
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-07-01T03:48:35.982056Z",
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"start_time": "2025-07-01T03:48:34.938111Z"
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}
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},
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"source": [
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"from openai import OpenAI\n",
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"import base64\n",
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"\n",
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"# 初始化客户端（确认API密钥和base_url正确）\n",
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"client = OpenAI(\n",
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" api_key=\"sk-123e106197e0405482d8c0c7e42ce138\", # 替换为您的真实API密钥\n",
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" base_url=\"https://api.deepseek.com\" # 确认是否为最新API地址\n",
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")\n",
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"\n",
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"# 读取图片并编码为Base64\n",
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"image_path = r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Desktop\\3C697AF9-7A7F-4DF3-A727-AA3CBD1D0433.jpeg\"\n",
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"with open(image_path, \"rb\") as image_file:\n",
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" base64_image = base64.b64encode(image_file.read()).decode('utf-8')\n",
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"\n",
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"# 构建多模态请求\n",
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"response = client.chat.completions.create(\n",
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" model=\"deepseek-vl\", # 使用支持多模态的模型[2,8](@ref)\n",
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" messages=[\n",
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" {\"role\": \"system\", \"content\": \"You are a helpful assistant that can analyze images.\"},\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": [\n",
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" {\"type\": \"text\", \"text\": \"请描述图片中的主要内容\"},\n",
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" {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/jpeg;base64,{base64_image}\"}}\n",
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" ]\n",
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" }\n",
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" ],\n",
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" max_tokens=300\n",
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")\n",
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"\n",
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"# 输出结果\n",
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"print(response.choices[0].message.content)"
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],
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"outputs": [
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{
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"ename": "UnprocessableEntityError",
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"evalue": "Failed to deserialize the JSON body into the target type: messages[1]: data did not match any variant of untagged enum ChatCompletionRequestContent at line 1 column 213522",
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"output_type": "error",
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"traceback": [
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"\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[1;31mUnprocessableEntityError\u001B[0m Traceback (most recent call last)",
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"Cell \u001B[1;32mIn[4], line 16\u001B[0m\n\u001B[0;32m 13\u001B[0m base64_image \u001B[38;5;241m=\u001B[39m base64\u001B[38;5;241m.\u001B[39mb64encode(image_file\u001B[38;5;241m.\u001B[39mread())\u001B[38;5;241m.\u001B[39mdecode(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[0;32m 15\u001B[0m \u001B[38;5;66;03m# 构建多模态请求\u001B[39;00m\n\u001B[1;32m---> 16\u001B[0m response \u001B[38;5;241m=\u001B[39m client\u001B[38;5;241m.\u001B[39mchat\u001B[38;5;241m.\u001B[39mcompletions\u001B[38;5;241m.\u001B[39mcreate(\n\u001B[0;32m 17\u001B[0m model\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdeepseek-vl\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;66;03m# 使用支持多模态的模型[2,8](@ref)\u001B[39;00m\n\u001B[0;32m 18\u001B[0m messages\u001B[38;5;241m=\u001B[39m[\n\u001B[0;32m 19\u001B[0m {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mrole\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124msystem\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcontent\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mYou are a helpful assistant that can analyze images.\u001B[39m\u001B[38;5;124m\"\u001B[39m},\n\u001B[0;32m 20\u001B[0m {\n\u001B[0;32m 21\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mrole\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124muser\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m 22\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcontent\u001B[39m\u001B[38;5;124m\"\u001B[39m: [\n\u001B[0;32m 23\u001B[0m {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtype\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtext\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtext\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m请描述图片中的主要内容\u001B[39m\u001B[38;5;124m\"\u001B[39m},\n\u001B[0;32m 24\u001B[0m {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mtype\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mimage_url\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mimage_url\u001B[39m\u001B[38;5;124m\"\u001B[39m: {\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124murl\u001B[39m\u001B[38;5;124m\"\u001B[39m: \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mdata:image/jpeg;base64,\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mbase64_image\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m}}\n\u001B[0;32m 25\u001B[0m ]\n\u001B[0;32m 26\u001B[0m }\n\u001B[0;32m 27\u001B[0m ],\n\u001B[0;32m 28\u001B[0m max_tokens\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m300\u001B[39m\n\u001B[0;32m 29\u001B[0m )\n\u001B[0;32m 31\u001B[0m \u001B[38;5;66;03m# 输出结果\u001B[39;00m\n\u001B[0;32m 32\u001B[0m \u001B[38;5;28mprint\u001B[39m(response\u001B[38;5;241m.\u001B[39mchoices[\u001B[38;5;241m0\u001B[39m]\u001B[38;5;241m.\u001B[39mmessage\u001B[38;5;241m.\u001B[39mcontent)\n",
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"File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\openai\\_utils\\_utils.py:287\u001B[0m, in \u001B[0;36mrequired_args.<locals>.inner.<locals>.wrapper\u001B[1;34m(*args, **kwargs)\u001B[0m\n\u001B[0;32m 285\u001B[0m msg \u001B[38;5;241m=\u001B[39m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mMissing required argument: \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mquote(missing[\u001B[38;5;241m0\u001B[39m])\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 286\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m(msg)\n\u001B[1;32m--> 287\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m func(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n",
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"File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\openai\\resources\\chat\\completions\\completions.py:1087\u001B[0m, in \u001B[0;36mCompletions.create\u001B[1;34m(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, prediction, presence_penalty, reasoning_effort, response_format, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, web_search_options, extra_headers, extra_query, extra_body, timeout)\u001B[0m\n\u001B[0;32m 1044\u001B[0m \u001B[38;5;129m@required_args\u001B[39m([\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mmessages\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mmodel\u001B[39m\u001B[38;5;124m\"\u001B[39m], [\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mmessages\u001B[39m\u001B[38;5;124m\"\u001B[39m, 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completion_create_params\u001B[38;5;241m.\u001B[39mCompletionCreateParamsNonStreaming,\n\u001B[0;32m 1126\u001B[0m ),\n\u001B[0;32m 1127\u001B[0m options\u001B[38;5;241m=\u001B[39mmake_request_options(\n\u001B[0;32m 1128\u001B[0m extra_headers\u001B[38;5;241m=\u001B[39mextra_headers, extra_query\u001B[38;5;241m=\u001B[39mextra_query, extra_body\u001B[38;5;241m=\u001B[39mextra_body, timeout\u001B[38;5;241m=\u001B[39mtimeout\n\u001B[0;32m 1129\u001B[0m ),\n\u001B[0;32m 1130\u001B[0m cast_to\u001B[38;5;241m=\u001B[39mChatCompletion,\n\u001B[0;32m 1131\u001B[0m stream\u001B[38;5;241m=\u001B[39mstream \u001B[38;5;129;01mor\u001B[39;00m \u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[0;32m 1132\u001B[0m stream_cls\u001B[38;5;241m=\u001B[39mStream[ChatCompletionChunk],\n\u001B[0;32m 1133\u001B[0m )\n",
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"File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\openai\\_base_client.py:1249\u001B[0m, in \u001B[0;36mSyncAPIClient.post\u001B[1;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001B[0m\n\u001B[0;32m 1235\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mpost\u001B[39m(\n\u001B[0;32m 1236\u001B[0m \u001B[38;5;28mself\u001B[39m,\n\u001B[0;32m 1237\u001B[0m path: \u001B[38;5;28mstr\u001B[39m,\n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 1244\u001B[0m stream_cls: \u001B[38;5;28mtype\u001B[39m[_StreamT] \u001B[38;5;241m|\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m,\n\u001B[0;32m 1245\u001B[0m ) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m ResponseT \u001B[38;5;241m|\u001B[39m _StreamT:\n\u001B[0;32m 1246\u001B[0m opts \u001B[38;5;241m=\u001B[39m FinalRequestOptions\u001B[38;5;241m.\u001B[39mconstruct(\n\u001B[0;32m 1247\u001B[0m method\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpost\u001B[39m\u001B[38;5;124m\"\u001B[39m, url\u001B[38;5;241m=\u001B[39mpath, json_data\u001B[38;5;241m=\u001B[39mbody, files\u001B[38;5;241m=\u001B[39mto_httpx_files(files), \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39moptions\n\u001B[0;32m 1248\u001B[0m )\n\u001B[1;32m-> 1249\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m cast(ResponseT, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mrequest(cast_to, opts, stream\u001B[38;5;241m=\u001B[39mstream, stream_cls\u001B[38;5;241m=\u001B[39mstream_cls))\n",
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"File \u001B[1;32mD:\\ProgramTools\\Anaconda\\Lib\\site-packages\\openai\\_base_client.py:1037\u001B[0m, in \u001B[0;36mSyncAPIClient.request\u001B[1;34m(self, cast_to, options, stream, stream_cls)\u001B[0m\n\u001B[0;32m 1034\u001B[0m err\u001B[38;5;241m.\u001B[39mresponse\u001B[38;5;241m.\u001B[39mread()\n\u001B[0;32m 1036\u001B[0m log\u001B[38;5;241m.\u001B[39mdebug(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mRe-raising status error\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m-> 1037\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_make_status_error_from_response(err\u001B[38;5;241m.\u001B[39mresponse) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m 1039\u001B[0m \u001B[38;5;28;01mbreak\u001B[39;00m\n\u001B[0;32m 1041\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m response \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcould not resolve response (should never happen)\u001B[39m\u001B[38;5;124m\"\u001B[39m\n",
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"\u001B[1;31mUnprocessableEntityError\u001B[0m: Failed to deserialize the JSON body into the target type: messages[1]: data did not match any variant of untagged enum ChatCompletionRequestContent at line 1 column 213522"
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]
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}
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],
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"execution_count": 4
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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