Spaces:
Running
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Running
on
Zero
zRzRzRzRzRzRzR
commited on
Commit
·
a735de3
1
Parent(s):
f0ae490
update
Browse files
app.py
CHANGED
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@@ -7,8 +7,14 @@ import re
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import argparse
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import copy
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import spaces
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MODEL_PATH = "/
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class GLM4VModel:
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@@ -32,6 +38,26 @@ class GLM4VModel:
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def _wrap_text(self, t):
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return [{"type": "text", "text": t}]
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def _files_to_content(self, media):
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out = []
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for f in media or []:
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@@ -40,94 +66,70 @@ class GLM4VModel:
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out.append({"type": "video", "url": f.name})
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elif ext in [".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".webp"]:
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out.append({"type": "image", "url": f.name})
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return out
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# -----------------------------------------------------------
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# 🖼️ Output formatting
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# -----------------------------------------------------------
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def _format_output(self, txt):
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"""Called once完整生成结束时"""
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think_pat, ans_pat = r"<think>(.*?)</think>", r"<answer>(.*?)</answer>"
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think = re.findall(think_pat, txt, re.DOTALL)
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ans = re.findall(ans_pat, txt, re.DOTALL)
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html = ""
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if think:
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html += (
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"<details open><summary style='cursor:pointer;font-weight:bold;color:#bbbbbb;'>💭 Thinking Process</summary>"
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"<div style='color:#cccccc;line-height:1.4;'>"
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+ think[0].strip()
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+ "</div></details><br>"
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)
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body = ans[0] if ans else re.sub(think_pat, "", txt, flags=re.DOTALL)
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html += f"<div style='color:#ffffff;'>{body.strip()}</div>"
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return html
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def _stream_fragment(self, buf: str) -> str:
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think_html = ""
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if "<think>" in buf:
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if "</think>" in buf:
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-
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if
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think_html = (
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)
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else:
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-
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think_html = (
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-
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-
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)
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answer_html = ""
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if "<answer>" in buf:
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if "</answer>" in buf:
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-
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if
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answer_html = (
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"<div style='color:#ffffff;'>" + ans_content.group(1).strip() + "</div>"
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)
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else:
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-
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answer_html = "<div style='color:#ffffff;'>" + partial
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if not think_html and not answer_html:
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return self._strip_html(buf)
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return think_html + answer_html
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def _build_messages(self,
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msgs = []
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if sys_prompt.strip():
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msgs.append({
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"role": "system",
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"content": [{"type": "text", "text": sys_prompt.strip()}]
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})
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for h in
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if h["role"] == "user":
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-
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self._strip_html(h["content"])
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)
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msgs.append({"role": "user", "content": payload})
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-
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else:
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raw = h["content"]
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raw = re.sub(r"<think>.*?</think>", "", raw, flags=re.DOTALL)
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raw = re.sub(r"<details.*?</details>", "", raw, flags=re.DOTALL)
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clean = self._strip_html(raw).strip()
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-
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msgs.append({"role": "assistant", "content": self._wrap_text(clean)})
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-
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return msgs
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@spaces.GPU(duration=240)
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def stream_generate(self,
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-
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-
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inputs = self.processor.apply_chat_template(
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msgs,
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tokenize=True,
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@@ -137,9 +139,7 @@ class GLM4VModel:
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padding=True,
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).to(self.device)
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streamer = TextIteratorStreamer(
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self.processor.tokenizer, skip_prompt=True, skip_special_tokens=False
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)
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gen_args = dict(
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inputs,
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max_new_tokens=8192,
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@@ -150,13 +150,46 @@ class GLM4VModel:
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top_p=1e-5,
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streamer=streamer,
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)
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buf = ""
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for tok in streamer:
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buf += tok
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yield self._stream_fragment(buf)
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glm4v = GLM4VModel()
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@@ -164,27 +197,35 @@ glm4v.load()
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def check_files(files):
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vids = imgs = 0
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for f in files or []:
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ext = Path(f.name).suffix.lower()
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if ext in [".mp4", ".avi", ".mkv", ".mov", ".wmv", ".flv", ".webm", ".mpeg", ".m4v"]:
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vids += 1
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elif ext in [".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".webp"]:
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imgs += 1
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-
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-
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if imgs > 10:
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return False, "
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if vids and imgs:
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return False, "Cannot mix
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return True, ""
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def chat(files, msg,
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ok, err = check_files(files)
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if not ok:
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-
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-
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return
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payload = glm4v._files_to_content(files) if files else None
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@@ -194,24 +235,33 @@ def chat(files, msg, hist, sys_prompt):
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else:
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payload.append({"type": "text", "text": msg.strip()})
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-
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-
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-
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-
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hist.append(user_rec)
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place = {"role": "assistant", "content": ""}
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-
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-
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for chunk in glm4v.stream_generate(
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place["content"] = chunk
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-
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-
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def reset():
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-
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css = """.chatbot-container .message-wrap .message{font-size:14px!important}
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@@ -222,14 +272,16 @@ demo = gr.Blocks(title="GLM-4.1V Chat", theme=gr.themes.Soft(), css=css)
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with demo:
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gr.Markdown("""
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<div style="text-align: center; font-size: 32px; font-weight: bold; margin-bottom: 20px;">
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GLM-4.1V-9B Gradio Space🤗
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</div>
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<div style="text-align: center;">
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<a href="https://huggingface.co/THUDM/GLM-4.1V-9B-Thinking">🤗 Model Hub</a> |
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<a href="https://github.com/THUDM/
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<a href="https://arxiv.org/abs/">📜 arxiv</a>
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</div>
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""")
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with gr.Row():
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with gr.Column(scale=7):
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chatbox = gr.Chatbot(
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@@ -246,27 +298,18 @@ with demo:
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up = gr.File(
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label="📁 Upload",
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file_count="multiple",
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file_types=["
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type="filepath",
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)
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gr.Markdown(""
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-
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sys = gr.Textbox(label="⚙️ System Prompt", lines=6)
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send.click(chat, inputs=[up, textbox,
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textbox.submit(chat, inputs=[up, textbox,
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clear.click(reset, outputs=[chatbox, up, textbox])
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if __name__ == "__main__":
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-
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parser.add_argument("--port", type=int, default=8000)
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parser.add_argument("--host", type=str, default="0.0.0.0")
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parser.add_argument("--share", action="store_true")
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args = parser.parse_args()
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demo.launch(
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server_port=args.port,
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server_name=args.host,
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share=args.share,
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)
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import argparse
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import copy
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import spaces
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import fitz
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import subprocess
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import tempfile
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import os
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import time
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MODEL_PATH = "THUDM/GLM-4.1V-9B-Thinking"
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stop_generation = False
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class GLM4VModel:
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def _wrap_text(self, t):
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return [{"type": "text", "text": t}]
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def _pdf_to_imgs(self, pdf_path):
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doc = fitz.open(pdf_path)
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imgs = []
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for i in range(doc.page_count):
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pix = doc.load_page(i).get_pixmap(dpi=180)
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img_p = os.path.join(tempfile.gettempdir(), f"{Path(pdf_path).stem}_{i}.png")
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pix.save(img_p)
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imgs.append(img_p)
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doc.close()
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return imgs
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def _ppt_to_imgs(self, ppt_path):
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tmp = tempfile.mkdtemp()
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subprocess.run(
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["libreoffice", "--headless", "--convert-to", "pdf", "--outdir", tmp, ppt_path],
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check=True,
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)
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pdf_path = os.path.join(tmp, Path(ppt_path).stem + ".pdf")
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return self._pdf_to_imgs(pdf_path)
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+
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def _files_to_content(self, media):
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out = []
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for f in media or []:
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out.append({"type": "video", "url": f.name})
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elif ext in [".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".webp"]:
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out.append({"type": "image", "url": f.name})
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elif ext in [".ppt", ".pptx"]:
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for p in self._ppt_to_imgs(f.name):
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out.append({"type": "image", "url": p})
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elif ext == ".pdf":
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for p in self._pdf_to_imgs(f.name):
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out.append({"type": "image", "url": p})
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return out
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def _stream_fragment(self, buf: str) -> str:
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think_html = ""
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if "<think>" in buf:
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if "</think>" in buf:
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seg = re.search(r"<think>(.*?)</think>", buf, re.DOTALL)
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if seg:
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think_html = (
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"<details open><summary style='cursor:pointer;font-weight:bold;color:#bbbbbb;'>💭 思考过程</summary>"
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"<div style='color:#cccccc;line-height:1.4;padding:10px;border-left:3px solid #666;margin:5px 0;background-color:rgba(128,128,128,0.1);'>"
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+ seg.group(1).strip().replace("\n", "<br>")
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+ "</div></details>"
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)
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else:
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part = buf.split("<think>", 1)[1]
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think_html = (
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"<details open><summary style='cursor:pointer;font-weight:bold;color:#bbbbbb;'>💭 思考过程</summary>"
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"<div style='color:#cccccc;line-height:1.4;padding:10px;border-left:3px solid #666;margin:5px 0;background-color:rgba(128,128,128,0.1);'>"
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+ part.replace("\n", "<br>")
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+ "</div></details>"
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)
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answer_html = ""
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if "<answer>" in buf:
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if "</answer>" in buf:
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seg = re.search(r"<answer>(.*?)</answer>", buf, re.DOTALL)
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if seg:
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answer_html = seg.group(1).strip()
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else:
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answer_html = buf.split("<answer>", 1)[1]
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if not think_html and not answer_html:
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return self._strip_html(buf)
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return think_html + answer_html
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def _build_messages(self, raw_hist, sys_prompt):
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msgs = []
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if sys_prompt.strip():
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msgs.append({"role": "system", "content": [{"type": "text", "text": sys_prompt.strip()}]})
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for h in raw_hist:
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if h["role"] == "user":
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msgs.append({"role": "user", "content": h["content"]})
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else:
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raw = h["content"]
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raw = re.sub(r"<think>.*?</think>", "", raw, flags=re.DOTALL)
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raw = re.sub(r"<details.*?</details>", "", raw, flags=re.DOTALL)
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clean = self._strip_html(raw).strip()
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msgs.append({"role": "assistant", "content": self._wrap_text(clean)})
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return msgs
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@spaces.GPU(duration=240)
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def stream_generate(self, raw_hist, sys_prompt):
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global stop_generation
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stop_generation = False
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msgs = self._build_messages(raw_hist, sys_prompt)
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inputs = self.processor.apply_chat_template(
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msgs,
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tokenize=True,
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padding=True,
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).to(self.device)
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streamer = TextIteratorStreamer(self.processor.tokenizer, skip_prompt=True, skip_special_tokens=False)
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gen_args = dict(
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inputs,
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max_new_tokens=8192,
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top_p=1e-5,
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streamer=streamer,
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)
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generation_thread = threading.Thread(target=self.model.generate, kwargs=gen_args)
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generation_thread.start()
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buf = ""
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for tok in streamer:
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if stop_generation:
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break
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buf += tok
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yield self._stream_fragment(buf)
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generation_thread.join()
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+
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+
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| 167 |
+
def format_display_content(content):
|
| 168 |
+
if isinstance(content, list):
|
| 169 |
+
text_parts = []
|
| 170 |
+
file_count = 0
|
| 171 |
+
for item in content:
|
| 172 |
+
if item["type"] == "text":
|
| 173 |
+
text_parts.append(item["text"])
|
| 174 |
+
else:
|
| 175 |
+
file_count += 1
|
| 176 |
+
|
| 177 |
+
display_text = " ".join(text_parts)
|
| 178 |
+
if file_count > 0:
|
| 179 |
+
return f"[{file_count} file(s) uploaded]\n{display_text}"
|
| 180 |
+
return display_text
|
| 181 |
+
return content
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
def create_display_history(raw_hist):
|
| 185 |
+
display_hist = []
|
| 186 |
+
for h in raw_hist:
|
| 187 |
+
if h["role"] == "user":
|
| 188 |
+
display_content = format_display_content(h["content"])
|
| 189 |
+
display_hist.append({"role": "user", "content": display_content})
|
| 190 |
+
else:
|
| 191 |
+
display_hist.append({"role": "assistant", "content": h["content"]})
|
| 192 |
+
return display_hist
|
| 193 |
|
| 194 |
|
| 195 |
glm4v = GLM4VModel()
|
|
|
|
| 197 |
|
| 198 |
|
| 199 |
def check_files(files):
|
| 200 |
+
vids = imgs = ppts = pdfs = 0
|
| 201 |
for f in files or []:
|
| 202 |
ext = Path(f.name).suffix.lower()
|
| 203 |
if ext in [".mp4", ".avi", ".mkv", ".mov", ".wmv", ".flv", ".webm", ".mpeg", ".m4v"]:
|
| 204 |
vids += 1
|
| 205 |
elif ext in [".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".webp"]:
|
| 206 |
imgs += 1
|
| 207 |
+
elif ext in [".ppt", ".pptx"]:
|
| 208 |
+
ppts += 1
|
| 209 |
+
elif ext == ".pdf":
|
| 210 |
+
pdfs += 1
|
| 211 |
+
if vids > 1 or ppts > 1 or pdfs > 1:
|
| 212 |
+
return False, "Only one video or one PPT or one PDF allowed"
|
| 213 |
if imgs > 10:
|
| 214 |
+
return False, "Maximum 10 images allowed"
|
| 215 |
+
if (ppts or pdfs) and (vids or imgs) or (vids and imgs):
|
| 216 |
+
return False, "Cannot mix documents, videos, and images"
|
| 217 |
return True, ""
|
| 218 |
|
| 219 |
|
| 220 |
+
def chat(files, msg, raw_hist, sys_prompt):
|
| 221 |
+
global stop_generation
|
| 222 |
+
stop_generation = False
|
| 223 |
+
|
| 224 |
ok, err = check_files(files)
|
| 225 |
if not ok:
|
| 226 |
+
raw_hist.append({"role": "assistant", "content": err})
|
| 227 |
+
display_hist = create_display_history(raw_hist)
|
| 228 |
+
yield display_hist, copy.deepcopy(raw_hist), None, ""
|
| 229 |
return
|
| 230 |
|
| 231 |
payload = glm4v._files_to_content(files) if files else None
|
|
|
|
| 235 |
else:
|
| 236 |
payload.append({"type": "text", "text": msg.strip()})
|
| 237 |
|
| 238 |
+
user_rec = {"role": "user", "content": payload if payload else msg.strip()}
|
| 239 |
+
if raw_hist is None:
|
| 240 |
+
raw_hist = []
|
| 241 |
+
raw_hist.append(user_rec)
|
|
|
|
| 242 |
|
| 243 |
place = {"role": "assistant", "content": ""}
|
| 244 |
+
raw_hist.append(place)
|
| 245 |
+
|
| 246 |
+
display_hist = create_display_history(raw_hist)
|
| 247 |
+
yield display_hist, copy.deepcopy(raw_hist), None, ""
|
| 248 |
|
| 249 |
+
for chunk in glm4v.stream_generate(raw_hist[:-1], sys_prompt):
|
| 250 |
+
if stop_generation:
|
| 251 |
+
break
|
| 252 |
place["content"] = chunk
|
| 253 |
+
display_hist = create_display_history(raw_hist)
|
| 254 |
+
yield display_hist, copy.deepcopy(raw_hist), None, ""
|
| 255 |
+
|
| 256 |
+
display_hist = create_display_history(raw_hist)
|
| 257 |
+
yield display_hist, copy.deepcopy(raw_hist), None, ""
|
| 258 |
|
| 259 |
|
| 260 |
def reset():
|
| 261 |
+
global stop_generation
|
| 262 |
+
stop_generation = True
|
| 263 |
+
time.sleep(0.1)
|
| 264 |
+
return [], [], None, ""
|
| 265 |
|
| 266 |
|
| 267 |
css = """.chatbot-container .message-wrap .message{font-size:14px!important}
|
|
|
|
| 272 |
with demo:
|
| 273 |
gr.Markdown("""
|
| 274 |
<div style="text-align: center; font-size: 32px; font-weight: bold; margin-bottom: 20px;">
|
| 275 |
+
GLM-4.1V-9B-Thinking Gradio Space🤗
|
| 276 |
</div>
|
| 277 |
<div style="text-align: center;">
|
| 278 |
<a href="https://huggingface.co/THUDM/GLM-4.1V-9B-Thinking">🤗 Model Hub</a> |
|
| 279 |
+
<a href="https://github.com/THUDM/GLM-4.1V-Thinking">🌐 Github</a>
|
|
|
|
| 280 |
</div>
|
| 281 |
""")
|
| 282 |
+
|
| 283 |
+
raw_history = gr.State([])
|
| 284 |
+
|
| 285 |
with gr.Row():
|
| 286 |
with gr.Column(scale=7):
|
| 287 |
chatbox = gr.Chatbot(
|
|
|
|
| 298 |
up = gr.File(
|
| 299 |
label="📁 Upload",
|
| 300 |
file_count="multiple",
|
| 301 |
+
file_types=["file"],
|
| 302 |
type="filepath",
|
| 303 |
)
|
| 304 |
+
gr.Markdown("Supports images / videos / PPT / PDF")
|
| 305 |
+
gr.Markdown(
|
| 306 |
+
"The maximum supported input is 10 images or 1 video/PPT/PDF. During the conversation, video and images cannot be present at the same time."
|
| 307 |
+
)
|
| 308 |
sys = gr.Textbox(label="⚙️ System Prompt", lines=6)
|
| 309 |
|
| 310 |
+
send.click(chat, inputs=[up, textbox, raw_history, sys], outputs=[chatbox, raw_history, up, textbox])
|
| 311 |
+
textbox.submit(chat, inputs=[up, textbox, raw_history, sys], outputs=[chatbox, raw_history, up, textbox])
|
| 312 |
+
clear.click(reset, outputs=[chatbox, raw_history, up, textbox])
|
| 313 |
|
| 314 |
if __name__ == "__main__":
|
| 315 |
+
demo.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|