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1 Parent(s): 7fdbdcd

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -9,7 +9,7 @@ description = """Yi-Coder-9B-Chat is a 9B parameter model fine-tuned for coding
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  'java', 'markdown', 'python', 'php', 'javascript', 'c++', 'c#', 'c', 'typescript', 'html', 'go', 'java_server_pages', 'dart', 'objective-c', 'kotlin', 'tex', 'swift', 'ruby', 'sql', 'rust', 'css', 'yaml', 'matlab', 'lua', 'json', 'shell', 'visual_basic', 'scala', 'rmarkdown', 'pascal', 'fortran', 'haskell', 'assembly', 'perl', 'julia', 'cmake', 'groovy', 'ocaml', 'powershell', 'elixir', 'clojure', 'makefile', 'coffeescript', 'erlang', 'lisp', 'toml', 'batchfile', 'cobol', 'dockerfile', 'r', 'prolog', 'verilog'
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  ```
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  ### Join us :
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- 🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/GWpVpekp) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [Build Tonic](https://git.tonic-ai.com/contribute)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗
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  """
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  # Define the device and model path
@@ -20,7 +20,7 @@ model_path = "01-ai/Yi-Coder-9B-Chat"
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForCausalLM.from_pretrained(model_path, device_map="auto").eval()
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- @spaces.GPU(duration=190)
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  def generate_code(system_prompt, user_prompt, max_length):
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  messages = [
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  {"role": "system", "content": system_prompt},
 
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  'java', 'markdown', 'python', 'php', 'javascript', 'c++', 'c#', 'c', 'typescript', 'html', 'go', 'java_server_pages', 'dart', 'objective-c', 'kotlin', 'tex', 'swift', 'ruby', 'sql', 'rust', 'css', 'yaml', 'matlab', 'lua', 'json', 'shell', 'visual_basic', 'scala', 'rmarkdown', 'pascal', 'fortran', 'haskell', 'assembly', 'perl', 'julia', 'cmake', 'groovy', 'ocaml', 'powershell', 'elixir', 'clojure', 'makefile', 'coffeescript', 'erlang', 'lisp', 'toml', 'batchfile', 'cobol', 'dockerfile', 'r', 'prolog', 'verilog'
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  ```
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  ### Join us :
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+ 🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/qdfnvSPcqP) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [Build Tonic](https://git.tonic-ai.com/contribute)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗
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  """
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  # Define the device and model path
 
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  tokenizer = AutoTokenizer.from_pretrained(model_path)
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  model = AutoModelForCausalLM.from_pretrained(model_path, device_map="auto").eval()
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+ @spaces.GPU(duration=130)
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  def generate_code(system_prompt, user_prompt, max_length):
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  messages = [
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  {"role": "system", "content": system_prompt},