app.py

import gradio as gr
import requests

API_URL = "https://carecompanion-keywordextraction.onrender.com/extract_keywords"

def extract_keywords_from_api(text):
    if not text.strip():
        return "⚠️ Please enter some text."
    
    try:
        response = requests.post(API_URL, json={"text": text})
        if response.status_code != 200:
            return f"❌ API Error: {response.status_code}"
        
        data = response.json()
        
        # Format output nicely
        output = ""
        for category, items in data.items():
            if items:
                output += f"### 🩸 {category.capitalize()}\n"
                for item in items:
                    if isinstance(item, list):
                        output += f"- {item[0]} (score: {item[1]:.2f})\n"
                    else:
                        output += f"- {item}\n"
                output += "\n"
        
        return output if output else "No keywords found."
    
    except Exception as e:
        return f"⚠️ Error: {str(e)}"

demo = gr.Interface(
    fn=extract_keywords_from_api,
    inputs=gr.Textbox(label="Enter medical text to extract keywords:", lines=5, placeholder="Example: The patient is prescribed amoxicillin and paracetamol for fever."),
    outputs=gr.Markdown(label="Extracted Keywords"),
    title="🧠 Keyword Extraction from Medical Text",
    description="Calls the Render API to extract structured medical keywords.",
    theme="soft"
)

if __name__ == "__main__":
    demo.launch()