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Update agent/text_symptom_tool.py
Browse files- agent/text_symptom_tool.py +50 -50
agent/text_symptom_tool.py
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import json
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import requests
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from langchain_core.tools import tool
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@tool
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def analyze_symptom_text(symptoms: str) -> str:
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"""
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Analyzes text-based symptoms using classification model via api backend.
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Input: Patient's symptom description text.
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Output: Predicted conditions with confidence scores.
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"""
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try:
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print(f"🩺 Analyzing symptoms: {symptoms[:50]}...")
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# Call your HF ClinicalBERT FastAPI Space
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api_url = "https://datdevsteve-nivra-text-diagnosis.hf.space/run/predict"
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payload = {
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"data": [symptoms],
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"fn_index": 0 # Default prediction function
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}
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print("🔬 Calling ClinicalBERT FastAPI backend...")
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response = requests.post(api_url, json=payload, timeout=
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response.raise_for_status()
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result = response.json()
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# Extract diagnosis from HF Space response format
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if "data" in result and len(result["data"]) > 0:
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diagnosis = result["data"][0]
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# Parse confidence if available, else default format
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if isinstance(diagnosis, list) and len(diagnosis) > 0:
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diagnosis = diagnosis[0]
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return f"""
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[TEXT SYMPTOM ANALYSIS - SUCCESS]:
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✅ FastAPI Backend Response: {diagnosis}
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📡 **Backend**: nivra-text-diagnosis HF Space"""
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else:
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# Fallback with generic advice
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return "[TEXT SYMPTOM ANALYSIS - WARNING]: No diagnosis returned from backend. Please consult a doctor."
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except requests.exceptions.Timeout:
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return "[TEXT SYMPTOM ANALYSIS - ERROR]: Analysis timeout. Please try again or consult a doctor."
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except requests.exceptions.RequestException as e:
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return f"[TEXT SYMPTOM ANALYSIS - ERROR]: Network error: {str(e)}. Please consult a doctor."
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except Exception as e:
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return f"[TEXT SYMPTOM ANALYSIS - ERROR]: Unexpected error: {str(e)}. Please consult a doctor."
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import json
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import requests
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from langchain_core.tools import tool
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@tool
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def analyze_symptom_text(symptoms: str) -> str:
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"""
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Analyzes text-based symptoms using classification model via api backend.
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Input: Patient's symptom description text.
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Output: Predicted conditions with confidence scores.
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"""
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try:
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print(f"🩺 Analyzing symptoms: {symptoms[:50]}...")
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# Call your HF ClinicalBERT FastAPI Space
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api_url = "https://datdevsteve-nivra-text-diagnosis.hf.space/run/predict"
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payload = {
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"data": [symptoms],
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"fn_index": 0 # Default prediction function
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}
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print("🔬 Calling ClinicalBERT FastAPI backend...")
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response = requests.post(api_url, json=payload, timeout=120)
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response.raise_for_status()
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result = response.json()
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# Extract diagnosis from HF Space response format
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if "data" in result and len(result["data"]) > 0:
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diagnosis = result["data"][0]
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# Parse confidence if available, else default format
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if isinstance(diagnosis, list) and len(diagnosis) > 0:
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diagnosis = diagnosis[0]
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return f"""
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[TEXT SYMPTOM ANALYSIS - SUCCESS]:
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✅ FastAPI Backend Response: {diagnosis}
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📡 **Backend**: nivra-text-diagnosis HF Space"""
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else:
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# Fallback with generic advice
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return "[TEXT SYMPTOM ANALYSIS - WARNING]: No diagnosis returned from backend. Please consult a doctor."
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except requests.exceptions.Timeout:
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return "[TEXT SYMPTOM ANALYSIS - ERROR]: Analysis timeout. Please try again or consult a doctor."
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except requests.exceptions.RequestException as e:
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return f"[TEXT SYMPTOM ANALYSIS - ERROR]: Network error: {str(e)}. Please consult a doctor."
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except Exception as e:
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return f"[TEXT SYMPTOM ANALYSIS - ERROR]: Unexpected error: {str(e)}. Please consult a doctor."
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