Update app.py

app.py

@@ -1,6 +1,12 @@
 import gradio as gr
 from transformers import pipeline
 
+# Azure Text Analytics setup
+azure_endpoint = "https://t6langservice.cognitiveservices.azure.com/"
+azure_api_key = "3CU1gpUszvl7pLb90Ivdp1Kd5WZc56savzdXOK5GV40JHebnxnxoJQQJ99BAACYeBjFXJ3w3AAAaACOGkRT5"
+# Authenticate client
+text_analytics_client = TextAnalyticsClient(endpoint=azure_endpoint, credential=AzureKeyCredential(azure_api_key))
+
 def load_model():
     # Load a pre-trained HuggingFace pipeline for sentiment analysis
     model_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
@@ -11,13 +17,19 @@ def classify_text(model, text):
     result = model(text)
     return result
 
+
+def classify_text_azure(model, text):
+    # Use the loaded model to classify text
+    result = text_analytics_client.analyze_sentiment(text)
+    return result
+    
 def main():
     # Load the model
     model = load_model()
 
     # Define the Gradio interface
     interface = gr.Interface(
-        fn=lambda text: classify_text(model, text),
+        fn=lambda text: classify_text_azure(model, text),
         inputs=gr.Textbox(lines=2, placeholder="Enter Text Here..."),
         outputs="json",
         title="Text Classification with HuggingFace",