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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("""
<style>
.footer {
position: fixed;
bottom: 0;
right: 0;
padding: 10px;
font-size: 16px;
color: #333;
background-color: #f1f1f1;
}
</style>
<div class="footer">
Made with ❤️ by Baibhav Malviya
</div>
""", unsafe_allow_html=True)
def main():
st.title("Materials Science Bot")
st.markdown("<h4 style='font-size: 20px;'> Ask anything related to the world of materials! 😉</h4>", unsafe_allow_html=True)
message = st.text_area("Message", placeholder="What is oxidation?...")
if st.button("Run"):
if not message.strip():
st.error("Please enter a message")
return
try:
with st.spinner("Running flow..."):
response = run_flow(message)
response = response['outputs'][0]['outputs'][0]['results']['message']['text']
st.markdown(response)
except Exception as e:
st.error(str(e))
if __name__ == "__main__":
main()
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