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Zero Rains
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import openai
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print("hello")
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ip = "0.0.0.0"
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service_http_port = "9809"
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client = openai.Client(base_url=f"http://{ip}:{service_http_port}/v1", api_key="EMPTY_API_KEY")
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print("world")
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# 非流式对话
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response = client.chat.completions.create(
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model="default",
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messages=[
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{
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"role": "system",
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"content": "You are a helpful AI assistant.",
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}, # system不是必需，可选
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://ku.baidu-int.com/vk-assets-ltd/space/2024/09/13/933d1e0a0760498e94ec0f2ccee865e0",
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"detail": "high",
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},
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},
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{"type": "text", "text": "请描述图片内容"},
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],
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},
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],
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temperature=1,
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max_tokens=53,
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stream=False,
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)
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print(response)
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# 流式对话，历史多轮
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response = client.chat.completions.create(
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model="default",
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messages=[
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{
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"role": "system",
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"content": "You are a helpful AI assistant.",
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}, # system不是必需，可选
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{"role": "user", "content": "List 3 countries and their capitals."},
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{
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"role": "assistant",
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"content": "China(Beijing), France(Paris), Australia(Canberra).",
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},
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{
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"role": "user",
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"content": [
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{
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"type": "image_url",
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"image_url": {
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"url": "https://ku.baidu-int.com/vk-assets-ltd/space/2024/09/13/933d1e0a0760498e94ec0f2ccee865e0",
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"detail": "high",
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},
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},
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{"type": "text", "text": "请描述图片内容"},
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],
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},
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],
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temperature=1,
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max_tokens=512,
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stream=True,
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)
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for chunk in response:
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if chunk.choices[0].delta is not None:
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# print(chunk.choices[0].delta, end='')
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# print("\n")
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print(chunk.choices[0].delta.content, end="")
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print(response)
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