main.py

import anthropic
from dotenv import load_dotenv
import os
from fasthtml.common import *
from dataclasses import dataclass

load_dotenv()

# Shared styles
SHARED_STYLES = """
    @keyframes progress {
        0% { width: 0%; }
        50% { width: 70%; }
        100% { width: 100%; }
    }
    .htmx-indicator { 
        display: none; 
    }
    .htmx-request .htmx-indicator { 
        display: block; 
    }
    .htmx-request.htmx-indicator {
        display: block;
    }
    .container {
        max-width: 800px;
        margin: 50px auto;
        padding: 20px;
        font-family: Arial, sans-serif;
    }
    .btn-primary {
        display: inline-block;
        padding: 10px 20px;
        background-color: #007bff;
        color: white;
        text-decoration: none;
        border-radius: 5px;
        border: none;
        cursor: pointer;
    }
    .content-box {
        white-space: pre-wrap;
        background-color: #f5f5f5;
        padding: 20px;
        border-radius: 5px;
        line-height: 1.6;
    }
"""

def create_loader():
    """Create a reusable loading indicator"""
    return Div(
        id="loader", 
        cls="htmx-indicator", 
        style="margin-top: 20px;"
    )(
        Div("Loading drug information...", style="color: #007bff; font-weight: bold;"),
        Div(style="width: 100%; height: 4px; background-color: #e0e0e0; margin-top: 10px; border-radius: 2px;")(
            Div(cls="progress-bar", style="height: 100%; background-color: #007bff; animation: progress 1.5s ease-in-out infinite;")
        )
    )

def stream_drug_info(drug_name):
    """Stream drug information from Anthropic API"""
    client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
    
    with client.beta.messages.stream(
        model="claude-sonnet-4-5-20250929",
        max_tokens=5000,
        temperature=1,
        system="You are a professional doctor who when given a drug brand name which is given in form of tablets or syrup form, tells me about the following things: * Side Effects - Common and serious adverse effects * Medicinal Usage - Approved therapeutic indications and how it works",
        messages=[
            {
                "role": "user",
                "content": [
                    {
                        "type": "text",
                        "text": f"Check about the drug brand name: {drug_name}"
                    }
                ]
            }
        ]
    ) as stream:
        for text in stream.text_stream:
            yield text

@dataclass
class Drug:
    drug_name: str

app, rt = fast_app()

@rt('/')
def get():
    return Titled("Drug Information Predictor",
        Div(cls="container")(
            H1("Drug Information Finder"),
            P("Enter a drug name to get detailed information about it."),
            Form(
                id="drug-form",
                hx_post="/profile",
                hx_target="#results",
                hx_indicator="#loader",
                hx_swap="innerHTML",
                onsubmit="document.getElementById('drug-form').style.display='none';"
            )(
                Fieldset(
                    Label('Drug Name:', Br(), Input(name="drug_name", placeholder="e.g., Gelusil", required=True)),
                ),
                Br(),
                Button("Get Drug Info", type="submit", cls="btn-primary"),
            ),
            create_loader(),
            Div(id="results"),
            Style(SHARED_STYLES)
        )
    )

@rt('/profile', methods=['POST'])
def post(drug: Drug):
    print(f"Received POST request for drug: {drug.drug_name}")  # Debug print
    
    def generate():
        # Hide the loader and show initial response
        yield Script("""
            document.getElementById('loader').style.display = 'none';
        """)
        
        yield Div(cls="container")(
            H1(f"Drug Information: {drug.drug_name}"),
            Div(id="streaming-content", cls="content-box"),
            Br(),
            A("Search Another Drug", href="/", cls="btn-primary")
        )
        
        # Stream content chunks
        for chunk in stream_drug_info(drug.drug_name):
            yield Script(f"""
                document.getElementById('streaming-content').innerHTML += {repr(chunk)};
            """)
    
    return generate()

serve()