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Update app.py
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app.py
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@@ -2,33 +2,19 @@ import gradio as gr
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import time
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import os
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import sys
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import json
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import base64
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import tqdm
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import base64
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from datetime import datetime
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import subprocess
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from http import HTTPStatus
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from urllib3.exceptions import HTTPError
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from pathlib import Path
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import numpy as np
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from PIL import Image
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import os
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import numpy as np
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from urllib3.exceptions import HTTPError
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from argparse import ArgumentParser
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from pathlib import Path
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import copy
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import gradio as gr
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import os
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import re
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import secrets
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import tempfile
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import requests
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from http import HTTPStatus
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# Function to encode the image
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@@ -60,58 +46,8 @@ openai_api_key = "EMPTY"
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openai_api_base = "http://47.117.17.202:9999/v1"
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client = OpenAI(
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api_key=openai_api_key,
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base_url=openai_api_base,
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)
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def run_example(image, text_input=None):
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image_path = array_to_image_path(image)
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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": f"data:image/jpeg;base64,{encode_image(image_path)}"
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}
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}
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]
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# 可选文本内容
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if text_input is not None and text_input.strip():
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content.append(
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{
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"type": "text",
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"text": text_input
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}
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)
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messages = [
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{
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"role": "user",
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"content": content
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}
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]
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response = client.chat.completions.create(
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model="Qwen2_5VL",
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messages=messages,
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extra_body={},
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extra_headers={
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"apikey": "empty"
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},
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stream=False,
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temperature=0.7,
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top_p=1.0,
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)
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return response.choices[0].message.content
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REVISION = 'v1.0.4'
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BOX_TAG_PATTERN = r"<box>([\s\S]*?)</box>"
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PUNCTUATION = "!?。"#$%&'()*+,-/:;<=>@[\]^_`{|}~⦅⦆「」、、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏."
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@@ -203,11 +139,14 @@ def _launch_demo(args):
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"url": f"data:image/jpeg;base64,{encode_image(q[0])}"
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}
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})
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content.append({"type": "text", 'text': q})
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messages.append({'role': 'user', 'content': content})
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messages.append({'role': 'assistant', 'content': [{"type": "text", 'text': a}]})
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content = []
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messages.pop()
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responses = client.chat.completions.create(
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model="Qwen2_5VL",
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@@ -286,9 +225,9 @@ def _launch_demo(args):
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return [], []
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with gr.Blocks() as demo:
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gr.Markdown("""<center><font size=3>
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chatbot = gr.Chatbot(label='
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query = gr.Textbox(lines=2, label='Input')
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task_history = gr.State([])
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import time
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import os
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import sys
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import re
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import json
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import base64
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import tqdm
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import base64
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from datetime import datetime
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import subprocess
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from pathlib import Path
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import numpy as np
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from PIL import Image
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from argparse import ArgumentParser
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import tempfile
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# Function to encode the image
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openai_api_base = "http://47.117.17.202:9999/v1"
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REVISION = 'v0.0.1'
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BOX_TAG_PATTERN = r"<box>([\s\S]*?)</box>"
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PUNCTUATION = "!?。"#$%&'()*+,-/:;<=>@[\]^_`{|}~⦅⦆「」、、〃》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏."
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"url": f"data:image/jpeg;base64,{encode_image(q[0])}"
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}
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})
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elif q and q.strip():
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content.append({"type": "text", 'text': q})
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messages.append({'role': 'user', 'content': content})
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messages.append({'role': 'assistant', 'content': [{"type": "text", 'text': a}]})
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content = []
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else:
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continue
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messages.pop()
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responses = client.chat.completions.create(
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model="Qwen2_5VL",
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return [], []
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with gr.Blocks() as demo:
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gr.Markdown("""<center><font size=3> Infinity-7B Demo </center>""")
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chatbot = gr.Chatbot(label='Infinity-7B', elem_classes="control-height", height=500)
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query = gr.Textbox(lines=2, label='Input')
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task_history = gr.State([])
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