import requests from dotenv import load_dotenv import os import json import streamlit as st load_dotenv() BASE_API_URL = "https://api.langflow.astra.datastax.com" LANGFLOW_ID = "478dd003-8ac0-4d40-815e-77e7d1ae9343" FLOW_ID = "0853dfd7-558c-4958-9ca4-dc9ca8c69302" APPLICATION_TOKEN = os.environ.get("APP_TOKEN") ENDPOINT = "materialssciencebot" # You can set a specific endpoint name in the flow settings def run_flow(message: str) -> dict: api_url = f"{BASE_API_URL}/lf/{LANGFLOW_ID}/api/v1/run/{ENDPOINT}" payload = { "input_value": message, "output_type": "chat", "input_type": "chat", } headers = {"Authorization": "Bearer " + APPLICATION_TOKEN, "Content-Type": "application/json"} response = requests.post(api_url, json=payload, headers=headers) return response.json() # Adding an image at the top st.image("assets/C:/Users/topic/OneDrive/Pictures/WhatsApp Image 2025-02-10 at 16.18.20_a1254462.jpg", use_container_width=True) st.markdown("""
""", unsafe_allow_html=True) def main(): st.title("Materials Science Bot") st.markdown("