x-api-key: pp_live_your_api_key_here

{
  "name": "Metformin HCl",
  "manufacturer": "Sun Pharmaceutical Industries",
  "dosage": "500mg",
  "usage": "Treatment of type 2 diabetes mellitus",
  "confidence": "high",
  "warnings": "Risk of lactic acidosis. Contraindicated in patients with renal impairment...",
  "adverse_reactions": "Diarrhea, nausea, vomiting, flatulence, indigestion, abdominal discomfort...",
  "contraindications": "Contraindicated in patients with renal impairment (eGFR below 30)...",
  "drug_interactions": "Carbonic anhydrase inhibitors may increase the risk of lactic acidosis...",
  "generic_alternatives": [
    "Glycomet 500mg — ₹30–₹50 for 20 tablets",
    "Bigomet 500mg — ₹25–₹45 for 20 tablets",
    "Walaphage 500mg — ₹20–₹40 for 20 tablets"
  ],
  "food_interactions": [
    "Alcohol — increases risk of lactic acidosis when combined with metformin",
    "High-carb meals — may reduce the effectiveness of blood sugar control"
  ],
  "condition_flags": [
    {
      "condition": "diabetes",
      "label": "Diabetes",
      "flagged": false,
      "reason": "No relevant keywords found"
    },
    {
      "condition": "kidney",
      "label": "Kidney",
      "flagged": true,
      "reason": "Found keyword: renal"
    }
  ],
  "disclaimer": "This is general medicine information only and not medical advice. Consult a doctor or pharmacist before making any health decisions."
}

{
  "severity": "severe",
  "summary": "Aspirin significantly increases the anticoagulant effect of Warfarin, raising the risk of serious bleeding.",
  "effects": [
    "Increased risk of gastrointestinal bleeding",
    "Prolonged bleeding time and elevated INR levels",
    "Risk of intracranial hemorrhage in elderly patients",
    "Platelet inhibition compounding anticoagulation"
  ],
  "recommendation": "Avoid combining Aspirin with Warfarin unless explicitly directed by your physician; if both are necessary, monitor INR closely and watch for signs of bleeding."
}

const analyzeMedicine = async (imageFile, conditions = []) => {
  const formData = new FormData();
  formData.append('medicine', imageFile);
  formData.append('conditions', JSON.stringify(conditions));

  const response = await fetch('https://your-deployment-url.com/api/analyze', {
    method: 'POST',
    headers: {
      'x-api-key': 'pp_live_your_api_key_here',
    },
    body: formData,
  });

  if (!response.ok) {
    const err = await response.json();
    throw new Error(err.error);
  }

  return response.json();
};

// Usage
const result = await analyzeMedicine(file, ['diabetes', 'kidney']);
console.log(result.name, result.warnings);

const checkInteractions = async (medicine1, medicine2) => {
  const response = await fetch('https://your-deployment-url.com/api/interactions', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'x-api-key': 'pp_live_your_api_key_here',
    },
    body: JSON.stringify({ medicine1, medicine2 }),
  });

  return response.json();
};

const result = await checkInteractions('Aspirin', 'Warfarin');
console.log(result.severity, result.summary);

import requests
import json

def analyze_medicine(image_path, conditions=None):
    url = "https://your-deployment-url.com/api/analyze"
    headers = {"x-api-key": "pp_live_your_api_key_here"}

    with open(image_path, "rb") as img:
        files = {"medicine": img}
        data  = {"conditions": json.dumps(conditions or [])}
        response = requests.post(url, headers=headers, files=files, data=data)

    response.raise_for_status()
    return response.json()

# Usage
result = analyze_medicine("medicine.jpg", conditions=["high_bp", "diabetes"])
print(result["name"], result["dosage"])

import requests

def check_interactions(medicine1, medicine2):
    url     = "https://your-deployment-url.com/api/interactions"
    headers = {
        "Content-Type": "application/json",
        "x-api-key": "pp_live_your_api_key_here",
    }
    payload = {"medicine1": medicine1, "medicine2": medicine2}

    response = requests.post(url, headers=headers, json=payload)
    response.raise_for_status()
    return response.json()

# Usage
result = check_interactions("Aspirin", "Ibuprofen")
print(result["severity"], result["recommendation"])