kimi-dev

README.md

@@ -1,5 +1,5 @@
 ---
-title: Chat with Kimi-VL-A3B-Thinking
+title: Chat with Kimi-Dev-72B
 emoji: 🤔
 colorFrom: green
 colorTo: blue
@@ -9,20 +9,3 @@ app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-
-## Citation
-
-```
-@misc{kimiteam2025kimivltechnicalreport,
-      title={{Kimi-VL} Technical Report}, 
-      author={Kimi Team and Angang Du and Bohong Yin and Bowei Xing and Bowen Qu and Bowen Wang and Cheng Chen and Chenlin Zhang and Chenzhuang Du and Chu Wei and Congcong Wang and Dehao Zhang and Dikang Du and Dongliang Wang and Enming Yuan and Enzhe Lu and Fang Li and Flood Sung and Guangda Wei and Guokun Lai and Han Zhu and Hao Ding and Hao Hu and Hao Yang and Hao Zhang and Haoning Wu and Haotian Yao and Haoyu Lu and Heng Wang and Hongcheng Gao and Huabin Zheng and Jiaming Li and Jianlin Su and Jianzhou Wang and Jiaqi Deng and Jiezhong Qiu and Jin Xie and Jinhong Wang and Jingyuan Liu and Junjie Yan and Kun Ouyang and Liang Chen and Lin Sui and Longhui Yu and Mengfan Dong and Mengnan Dong and Nuo Xu and Pengyu Cheng and Qizheng Gu and Runjie Zhou and Shaowei Liu and Sihan Cao and Tao Yu and Tianhui Song and Tongtong Bai and Wei Song and Weiran He and Weixiao Huang and Weixin Xu and Xiaokun Yuan and Xingcheng Yao and Xingzhe Wu and Xinxing Zu and Xinyu Zhou and Xinyuan Wang and Y. Charles and Yan Zhong and Yang Li and Yangyang Hu and Yanru Chen and Yejie Wang and Yibo Liu and Yibo Miao and Yidao Qin and Yimin Chen and Yiping Bao and Yiqin Wang and Yongsheng Kang and Yuanxin Liu and Yulun Du and Yuxin Wu and Yuzhi Wang and Yuzi Yan and Zaida Zhou and Zhaowei Li and Zhejun Jiang and Zheng Zhang and Zhilin Yang and Zhiqi Huang and Zihao Huang and Zijia Zhao and Ziwei Chen},
-      year={2025},
-      eprint={2504.07491},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2504.07491}, 
-}
-```
-

app.py

@@ -11,7 +11,6 @@ import pdb
 
 import openai
 
-import threading
 
 from kimi_dev.serve.frontend import reload_javascript
 from kimi_dev.serve.utils import (
@@ -102,16 +101,16 @@ def predict(
     prompt = text
     repo_name = url.split("/")[-1]
     print(url)
-    # print(commit_hash)
+    print(commit_hash)
 
     repo_path = './local_path/'+repo_name  # Local clone path
 
     clone_github_repo(url, repo_path, commit_hash)
     print("repo cloned")
     structure = build_repo_structure(repo_path)
-    # print("type(structure)",type(structure))
+
     string_struture = show_project_structure(structure)
-    # print("string_struturem,",string_struture)
+
 
     loc_prompt = get_loc_prompt(prompt,string_struture)
 
@@ -121,7 +120,7 @@ def predict(
     ]
     
     response = client.chat.completions.create(
-        model="kimi-dev",  # 和vLLM启动时的一致
+        model="kimi-dev",  
         messages=messages,
         stream=True,
         temperature=temperature,
@@ -139,17 +138,17 @@ def predict(
 
     raw_answer=post_process(response)
     model_found_files = raw_answer.strip().split("\n")
-    # print(response)
+
 
     highlight_response = highlight_thinking(response)
     yield [[prompt,highlight_response]], [["null test","null test2"]], "Generate: Success"
 
-    # reading file content
+
     contents = ""
     for file_path in model_found_files:
         file_name = file_path.replace("```","")
         print(file_name)
-        # pdb.set_trace()
+
         to_open_path = repo_path + "/" + file_name
 
         with open(to_open_path, "r", encoding="utf-8") as f:
@@ -171,7 +170,7 @@ def predict(
 
 
     response = client.chat.completions.create(
-        model="kimi-dev",  # 和vLLM启动时的一致
+        model="kimi-dev",  
         messages=messages,
         stream=True,
         temperature=temperature,
@@ -207,9 +206,7 @@ def retry(
         yield (chatbot, history, "Empty context")
         return
 
-    # chatbot.pop()
-    # history.pop()
-    # text = history.pop()[-1]
+
     if type(text) is tuple:
         text, _ = text
 
@@ -254,18 +251,17 @@ def build_demo(args: argparse.Namespace) -> gr.Blocks:
                         text_box = gr.Textbox(label="Issue Description", placeholder="Enter issue description", container=False)
                     with gr.Column(min_width=70):
                         submit_btn = gr.Button("Send")
-                    # with gr.Column(min_width=70):
-                        # cancel_btn = gr.Button("Stop")
+
                 with gr.Row():
                     empty_btn = gr.Button("🧹 New Conversation")
                     retry_btn = gr.Button("🔄 Regenerate")
-                    # del_last_btn = gr.Button("🗑️ Remove Last Turn")
+
             def respond(message):
                 return f"Url and commit hash submitted!"
             with gr.Column():
                 url_box = gr.Textbox(label="Please input a Github url here",placeholder="Input your url", lines=1)
                 commit_hash_box = gr.Textbox(label="Please input a commit hash here",placeholder="Input your commit hash", lines=1)
-                # url_submit_btn = gr.Button("Submit")
+
                 url_submit_btn = gr.Button("Submit")
                 output = gr.Textbox(label="Submitted url and commit")
                 url_submit_btn.click(fn=respond, inputs=upload_url, outputs=output)
@@ -327,11 +323,6 @@ def main(args: argparse.Namespace):
     reload_javascript()
 
     favicon_path = os.path.join("kimi_dev/serve/assets/favicon.ico")
-    # demo.queue().launch(
-    #     favicon_path=favicon_path,
-    #     server_name=args.ip,
-    #     server_port=args.port,
-    # )
     demo.queue().launch(
         favicon_path=favicon_path,
         server_name=args.ip,
@@ -340,11 +331,9 @@ def main(args: argparse.Namespace):
     )
 
 if __name__ == "__main__":
-    print("start serving vllm")
     script_path = os.path.join(os.path.dirname(__file__), "serve_vllm.sh")
     subprocess.Popen(["bash", script_path])
     time.sleep(500)
-    print("finiashed loading vllm")
 
     args = parse_args()
     print(args)

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
-name = "kimi_vl"
+name = "kimi_dev"
 version = "1.0.0"
-description = "Kimi-VL"
+description = "Kimi-Dev"
 license = {file = "LICENSE-CODE"}
 readme = "README.md"
 requires-python = ">=3.8"

serve_vllm.sh

@@ -10,7 +10,3 @@ python -m vllm.entrypoints.openai.api_server \
     --served-model-name kimi-dev \
     --port 8080
 
-SERVICE_URL="http://localhost:8080/v1/models"
-TIMEOUT=500      # 最大等待秒数
-INTERVAL=5       # 检测间隔秒数
-ELAPSED=0