from openai import OpenAI | |
import base64 | |
# API configuration | |
openai_api_key = "token-abc123" # API key must match the one set when launching the service | |
openai_api_base = "http://localhost:8000/v1" | |
client = OpenAI( | |
api_key=openai_api_key, | |
base_url=openai_api_base, | |
) | |
# Read and encode local image | |
with open('/mnt/data/xiuying/Code/xywang/demo.jpeg', 'rb') as file: | |
image = "data:image/jpeg;base64," + base64.b64encode(file.read()).decode('utf-8') | |
chat_response = client.chat.completions.create( | |
model="MiniCPM-V-4-Q4_K_M.gguf", # Specify model path or HuggingFace ID | |
messages=[{ | |
"role": "user", | |
"content": [ | |
{"type": "text", "text": "Please describe this image"}, | |
{ | |
"type": "image_url", | |
"image_url": { | |
"url": image, # Supports network image URLs | |
}, | |
}, | |
], | |
}], | |
extra_body={ | |
"stop_token_ids": [1, 73440] | |
} | |
) | |
print("Chat response:", chat_response) | |
print("Chat response content:", chat_response.choices[0].message.content) |