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Create app.py

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  1. app.py +68 -0
app.py ADDED
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+ import requests
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+ from dotenv import load_dotenv
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+ import os
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+ import json
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+ import streamlit as st
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+
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+ load_dotenv()
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+
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+ BASE_API_URL = "https://api.langflow.astra.datastax.com"
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+ LANGFLOW_ID = "478dd003-8ac0-4d40-815e-77e7d1ae9343"
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+ FLOW_ID = "0853dfd7-558c-4958-9ca4-dc9ca8c69302"
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+ APPLICATION_TOKEN = os.environ.get("APP_TOKEN")
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+ ENDPOINT = "materialssciencebot" # You can set a specific endpoint name in the flow settings
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+
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+ def run_flow(message: str) -> dict:
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+ api_url = f"{BASE_API_URL}/lf/{LANGFLOW_ID}/api/v1/run/{ENDPOINT}"
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+
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+ payload = {
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+ "input_value": message,
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+ "output_type": "chat",
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+ "input_type": "chat",
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+ }
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+
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+ headers = {"Authorization": "Bearer " + APPLICATION_TOKEN, "Content-Type": "application/json"}
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+ response = requests.post(api_url, json=payload, headers=headers)
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+ return response.json()
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+
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+ # Adding an image at the top
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+ st.image(r"C:/Users/topic/OneDrive/Pictures/WhatsApp Image 2025-02-10 at 16.18.20_a1254462.jpg", use_container_width=True)
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+
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+ st.markdown("""
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+ <style>
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+ .footer {
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+ position: fixed;
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+ bottom: 0;
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+ right: 0;
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+ padding: 10px;
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+ font-size: 16px;
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+ color: #333;
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+ background-color: #f1f1f1;
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+ }
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+ </style>
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+ <div class="footer">
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+ Made with ❤️ by Baibhav Malviya
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+ </div>
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+ """, unsafe_allow_html=True)
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+
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+ def main():
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+ st.title("Materials Science Bot")
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+ st.markdown("<h4 style='font-size: 20px;'> Ask anything related to the world of materials! 😉</h4>", unsafe_allow_html=True)
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+ message = st.text_area("Message", placeholder="What is oxidation?...")
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+
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+ if st.button("Run"):
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+ if not message.strip():
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+ st.error("Please enter a message")
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+ return
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+
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+ try:
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+ with st.spinner("Running flow..."):
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+ response = run_flow(message)
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+
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+ response = response['outputs'][0]['outputs'][0]['results']['message']['text']
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+ st.markdown(response)
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+ except Exception as e:
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+ st.error(str(e))
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+
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+ if __name__ == "__main__":
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+ main()