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import requests
import json
import gradio as gr
from dotenv import load_dotenv
import os
# Load environment variables
load_dotenv()
# Configuration variables
BASE_API_URL = "https://api.langflow.astra.datastax.com"
LANGFLOW_ID = "01375dcf-c094-4a69-9370-bc9c86149df0"
FLOW_ID = "c6fc7602-e2c5-4881-b758-404759b7c65f"
APPLICATION_TOKEN = os.getenv("APP_TOKEN")
ENDPOINT = "customer" # The endpoint name of the flow
# Function to run the flow
def run_flow(message: str) -> str:
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"
}
try:
response = requests.post(api_url, json=payload, headers=headers)
response_data = response.json()
bot_response = response_data["outputs"][0]["outputs"][0]["results"]["message"]["text"]
return bot_response
except Exception as e:
return f"An error occurred: {str(e)}"
# Gradio interface
interface = gr.Interface(
fn=run_flow,
inputs=gr.Textbox(label="Message", placeholder="Ask something..."),
outputs=gr.Textbox(label="Response"),
title="Luminus Bot",
description="Ask the Luminus Bot any question and receive assistance."
)
# Launch the interface with share=True
if __name__ == "__main__":
interface.launch(share=True) # Generates a public, shareable link
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