Update app.py

app.py

@@ -1,10 +1,8 @@
 import os
-from transformers import pipeline
 import gradio as gr
+import requests
+import json
 import logging
-from dotenv import load_dotenv
-
-load_dotenv() # Load environment variables from .env file
 
 # Retrieve the API token from secrets
 api_token = os.getenv("API_TOKEN")
@@ -15,8 +13,9 @@ if not api_token:
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Initialize the pipeline
-pipe = pipeline("text-generation", model="google/gemma-2b")
+# Use the token in your request headers
+API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.3"
+HEADERS = {"Authorization": f"Bearer {api_token}"}
 
 def generate_exegesis(passage):
     if not passage.strip():