app.py

import gradio as gr
import requests
import json
from decouple import Config

config = Config('.env')

def query_vectara(question):
    user_message = question

    # Read authentication parameters from the .env file
    customer_id = config('CUSTOMER_ID')
    corpus_id = config('CORPUS_ID')
    api_key = config('API_KEY')

    # Define the query URL
    query_url = f"https://api.vectara.io:443/v1/query?customer_id={customer_id}&corpus_id={corpus_id}"

    headers = {
        "x-api-key": api_key,  # Use the x-api-key header for authentication
    }

    query_body = {
        "query": user_message,
        "num_results": 10
    }

    query_response = requests.post(query_url, json=query_body, headers=headers)

    if query_response.status_code == 200:
        query_data = query_response.json()
        response_message = f"Response from Vectara API: {json.dumps(query_data, indent=2)}"
    else:
        response_message = f"Error: {query_response.status_code}"

    return response_message

iface = gr.Interface(
    fn=query_vectara,
    inputs=[gr.Textbox(label="Input Text")],
    outputs=gr.Textbox(label="Output Text"),
    title="Vectara Chatbot",
    description="Ask me anything using the Vectara API!"
)

iface.launch()