ianeksdi commited on
Commit
f235351
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1 Parent(s): 6e4637e

Update app.py

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Files changed (1) hide show
  1. app.py +15 -43
app.py CHANGED
@@ -3,55 +3,27 @@ from smolagents import CodeAgent, HfApiModel
3
  from tools.final_answer import FinalAnswerTool
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  from Gradio_UI import GradioUI
5
 
6
- # Simple system prompt without any code-related instructions
7
  system_prompt = (
8
  "You are a health and lifestyle advisor specializing in the early detection and prevention of hypertension. "
9
  "Provide direct and concise lifestyle advice based on the user's details. "
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  "Output a clear answer as plain text with no extra commentary."
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  )
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13
- class SimpleAgent(CodeAgent):
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- def run(self, user_input, **kwargs):
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- """
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- Override the run method to bypass code parsing completely
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- """
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- messages = [
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- {"role": "system", "content": self.description},
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- {"role": "user", "content": user_input}
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- ]
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-
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- response = self.model.complete(messages=messages, max_tokens=1024)
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- return self.clean_response(response)
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-
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- def clean_response(self, text):
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- """
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- Clean up the response text without any code parsing
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- """
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- # Remove potential error messages
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- if "Error in code parsing" in text:
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- text = text.split("Error in code parsing")[0]
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-
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- # Remove code block markers and step information
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- text = text.replace("```", "")
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- text = text.replace("<end_code>", "")
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-
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- # Remove step information
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- lines = []
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- for line in text.split('\n'):
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- if not any(x in line.lower() for x in ["step", "duration:", "input-tokens:", "output-tokens:"]):
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- lines.append(line)
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-
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- # Clean up and join
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- cleaned_lines = [line.strip() for line in lines if line.strip()]
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- return '\n\n'.join(cleaned_lines)
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48
  # Load prompt templates from YAML
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  with open("prompts.yaml", 'r') as stream:
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  prompt_templates = yaml.safe_load(stream)
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- # Remove any code-related sections
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- for key in list(prompt_templates.keys()):
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- if 'code' in key.lower():
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- prompt_templates.pop(key)
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56
  # Initialize the model with simplified settings
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  model = HfApiModel(
@@ -60,8 +32,8 @@ model = HfApiModel(
60
  model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B'
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  )
62
 
63
- # Initialize our custom agent instead of CodeAgent
64
- agent = SimpleAgent(
65
  model=model,
66
  tools=[FinalAnswerTool()],
67
  max_steps=1,
@@ -77,9 +49,9 @@ def run_agent(user_input):
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  """
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  try:
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  response = agent.run(user_input)
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- return response
81
  except Exception as e:
82
  return f"I apologize, but I couldn't process your request. Please try again."
83
 
84
  # Launch the Gradio UI
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- GradioUI(agent).launch()
 
3
  from tools.final_answer import FinalAnswerTool
4
  from Gradio_UI import GradioUI
5
 
6
+ # Simplified system prompt without any code-related instructions
7
  system_prompt = (
8
  "You are a health and lifestyle advisor specializing in the early detection and prevention of hypertension. "
9
  "Provide direct and concise lifestyle advice based on the user's details. "
10
  "Output a clear answer as plain text with no extra commentary."
11
  )
12
 
13
+ def clean_response(text):
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+ """
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+ Simple cleanup function that removes extra whitespace and ensures proper formatting.
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+ """
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+ # Remove extra whitespace
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+ text = ' '.join(text.split())
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+ # Split into paragraphs for readability
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+ paragraphs = text.split('\n\n')
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+ cleaned_paragraphs = [p.strip() for p in paragraphs if p.strip()]
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+ return '\n\n'.join(cleaned_paragraphs)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
23
 
24
  # Load prompt templates from YAML
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  with open("prompts.yaml", 'r') as stream:
26
  prompt_templates = yaml.safe_load(stream)
 
 
 
 
27
 
28
  # Initialize the model with simplified settings
29
  model = HfApiModel(
 
32
  model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B'
33
  )
34
 
35
+ # Initialize CodeAgent with minimal configuration
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+ agent = CodeAgent(
37
  model=model,
38
  tools=[FinalAnswerTool()],
39
  max_steps=1,
 
49
  """
50
  try:
51
  response = agent.run(user_input)
52
+ return clean_response(response)
53
  except Exception as e:
54
  return f"I apologize, but I couldn't process your request. Please try again."
55
 
56
  # Launch the Gradio UI
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+ GradioUI(agent).launch()