Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,15 +1,8 @@
 import streamlit as st
 import fitz  # PyMuPDF
-from langchain_openai import ChatOpenAI
-from azure.core.credentials import AzureKeyCredential
 from dotenv import load_dotenv
 import io
 import os
-import openai
-import logging
-from langchain_core.messages import HumanMessage, SystemMessage
-from azure.identity import ManagedIdentityCredential  # For Managed Identity
-from azure.core.credentials import AzureKeyCredential
 import requests
 #openAI
 # from langchain_openai import AzureChatOpenAI
@@ -24,17 +17,14 @@ API_KEY = os.getenv("AZURE_OPENAI_API_KEY")
 DEPLOYMENT_NAME = os.getenv("AZURE_OPENAI_DEPLOYMENT_NAME")
 azure_openai_embedding_model  = os.getenv("AZURE_OPENAI_EMBEDDING_MODEL")
 HuggingFace_API_KEY = os.getenv("HUGGINGFACE_API_KEY")
-HuggingFace_API_URL = os.getenv("HUGGINGFACE_API_URL")
 
 # Check if the necessary environment variables are loaded
 if not API_KEY or not ENDPOINT or not DEPLOYMENT_NAME:
     st.error("Azure OpenAI credentials are missing. Please check your .env file.")
     st.stop()
 
-# Initialize the OpenAI client
-#client = OpenAIClient(endpoint=ENDPOINT, credential=AzureKeyCredential(API_KEY))
-
 #myCode 
+API_URL = "https://api-inference.huggingface.co/models/gpt2"  # Replace with your desired model's API URL
 headers = {
     "Authorization": f"Bearer {HuggingFace_API_KEY}"  # Replace with your actual API key
 }
@@ -111,4 +101,4 @@ if uploaded_file is not None:
 
     # Display the extracted information
     st.subheader("Extracted Information")
-    st.write(extracted_info)
+    st.write(extracted_info)