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chore: import upstream snapshot with attribution
2026-07-13 12:11:53 +08:00

66 lines
2.3 KiB
Python

# Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from openai import OpenAI
from transformers.utils.versions import require_version
require_version("openai>=1.5.0", "To fix: pip install openai>=1.5.0")
def main():
client = OpenAI(
api_key="{}".format(os.getenv("API_KEY", "0")),
base_url="http://localhost:{}/v1".format(os.getenv("API_PORT", 8000)),
)
messages = []
messages.append(
{
"role": "user",
"content": [
{"type": "text", "text": "Output the color and number of each box."},
{
"type": "image_url",
"image_url": {"url": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-VL/boxes.png"},
},
],
}
)
result = client.chat.completions.create(messages=messages, model="test")
messages.append(result.choices[0].message)
print("Round 1:", result.choices[0].message.content)
# The image shows a pyramid of colored blocks with numbers on them. Here are the colors and numbers of ...
messages.append(
{
"role": "user",
"content": [
{"type": "text", "text": "What kind of flower is this?"},
{
"type": "image_url",
"image_url": {"url": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen2-VL/flowers.jpg"},
},
],
}
)
result = client.chat.completions.create(messages=messages, model="test")
messages.append(result.choices[0].message)
print("Round 2:", result.choices[0].message.content)
# The image shows a cluster of forget-me-not flowers. Forget-me-nots are small ...
if __name__ == "__main__":
main()