yizhangliu commited on
Commit
4a3b90e
·
1 Parent(s): abed28c

update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -316,7 +316,7 @@ with gr.Blocks(css_paths="app.css", title="Qwen2.5 Coder Artifacts (+SambaNova+F
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  input = antd.InputTextarea(size="middle", allow_clear=True, placeholder="Please enter what kind of application you want")
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  code_language = gr.Textbox(label="code language", lines=1)
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- LLM_model = gr.Dropdown(
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  choices=[
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  "Qwen2.5-Coder-32B-Instruct",
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  "DeepSeek-R1-Distill-Llama-70B",
@@ -383,15 +383,15 @@ with gr.Blocks(css_paths="app.css", title="Qwen2.5 Coder Artifacts (+SambaNova+F
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  sandbox_other = legacy.Markdown()
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  code_syntax_check = gr.Textbox(label="check code syntax: ", lines=1, interactive=False)
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  with gr.Row(visible=False) as think_content_row:
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- think_content = gr.Textbox(label="think_content: ", lines=10, interactive=False)
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- def generation_code(query: Optional[str], code_language, _setting: Dict[str, str], _history: Optional[History], LLM_model):
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  if query is None:
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  query = ''
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  if _history is None:
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  _history = []
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- logger.info(f"code_language/query={code_language}/{query}/")
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  # Prepare the preprocess and postprocess functions
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  def preprocess(message, history):
@@ -410,7 +410,7 @@ with gr.Blocks(css_paths="app.css", title="Qwen2.5 Coder Artifacts (+SambaNova+F
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  # Get the model from sambanova_gradio
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  fn = get_fn(
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- model_name=LLM_model,
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  preprocess=preprocess,
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  postprocess=postprocess,
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  api_key=YOUR_API_TOKEN
@@ -486,7 +486,7 @@ with gr.Blocks(css_paths="app.css", title="Qwen2.5 Coder Artifacts (+SambaNova+F
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  )
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  btn.click(generation_code,
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- inputs=[input, code_language, setting, history_state, LLM_model],
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  outputs=[code_output, history_state, sandbox, state_tab, code_drawer,
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  render_html, render_other, sandbox_other, code_syntax_check, think_content, think_content_row])
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316
 
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  input = antd.InputTextarea(size="middle", allow_clear=True, placeholder="Please enter what kind of application you want")
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  code_language = gr.Textbox(label="code language", lines=1)
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+ llm_model = gr.Dropdown(
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  choices=[
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  "Qwen2.5-Coder-32B-Instruct",
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  "DeepSeek-R1-Distill-Llama-70B",
 
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  sandbox_other = legacy.Markdown()
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  code_syntax_check = gr.Textbox(label="check code syntax: ", lines=1, interactive=False)
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  with gr.Row(visible=False) as think_content_row:
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+ think_content = gr.Textbox(label="think_content: ", lines=10)
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+ def generation_code(query: Optional[str], code_language, _setting: Dict[str, str], _history: Optional[History], llm_model):
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  if query is None:
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  query = ''
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  if _history is None:
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  _history = []
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+ logger.info(f"code_language/query={code_language}/{llm_model}/")
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  # Prepare the preprocess and postprocess functions
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  def preprocess(message, history):
 
410
 
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  # Get the model from sambanova_gradio
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  fn = get_fn(
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+ model_name=llm_model,
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  preprocess=preprocess,
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  postprocess=postprocess,
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  api_key=YOUR_API_TOKEN
 
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  )
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  btn.click(generation_code,
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+ inputs=[input, code_language, setting, history_state, llm_model],
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  outputs=[code_output, history_state, sandbox, state_tab, code_drawer,
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  render_html, render_other, sandbox_other, code_syntax_check, think_content, think_content_row])
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