MonteWalk

Instructions

Analyzes the sentiment of a given text using FinBERT on Modal (via Public Endpoint).

Args:
    text: Text to analyze (e.g., news headline, article).

Returns:
    Dictionary with polarity, confidence, and classification.

Implementation Reference

• tools/news_intelligence.py:146-189 (handler)

  The core handler function that analyzes sentiment of input text using FinBERT model via Modal endpoint. Posts text to MODAL_ENDPOINT_URL, processes response to polarity and classification.

  def analyze_sentiment(text: str) -> Dict[str, Any]:
      """
      Analyzes the sentiment of a given text using FinBERT on Modal (via Public Endpoint).
      
      Args:
          text: Text to analyze (e.g., news headline, article).
      
      Returns:
          Dictionary with polarity, confidence, and classification.
      """
      # Try Modal first
      try:
          # Check if URL is configured
          if "replace-me" in MODAL_ENDPOINT_URL:
              raise ValueError("Modal URL not configured")
  
          response = requests.post(MODAL_ENDPOINT_URL, json={"text": text}, timeout=15)
          response.raise_for_status()
          result = response.json()
          
          # FinBERT returns {'label': 'positive'/'negative'/'neutral', 'score': float}
          label = result['label'].upper()
          score = result['score']
          
          # Map to polarity-like score for compatibility (-1 to 1)
          if label == "POSITIVE":
              polarity = score
          elif label == "NEGATIVE":
              polarity = -score
          else:
              polarity = 0.0
              
          return {
              "text": text[:100] + "..." if len(text) > 100 else text,
              "polarity": round(polarity, 3),
              "subjectivity": 0.0, # FinBERT doesn't give subjectivity
              "classification": label,
              "model": "FinBERT (Modal Public)"
          }
          
      except Exception as e:
          logger.error(f"Modal FinBERT failed: {e}")
          return {"error": f"Error analyzing sentiment: {str(e)}"}

• server.py:405-408 (registration)

  Registers the analyze_sentiment tool (along with related news tools) with the MCP server using the register_tools helper function.

  register_tools(
      [get_news, analyze_sentiment, get_symbol_sentiment],
      "News & Sentiment"
  )

• app.py:293-293 (registration)

  Includes analyze_sentiment in the tools_map dictionary under 'News & Sentiment' category, used for Gradio UI toolbox and potentially MCP exposure via Gradio's mcp_server=True.

  "News & Sentiment": [get_news, analyze_sentiment, get_symbol_sentiment, get_news_resource],