Create app.py

app.py

@@ -0,0 +1,34 @@
+import gradio as gr
+from azure.core.credentials import AzureKeyCredential
+from azure.ai.textanalytics import TextAnalyticsClient
+
+def EntityRecognition(endpoint, key, statements):
+       
+    if (endpoint == '' or key == ''):
+        output = "*** Please provide EndPoint URL and API_KEY ***"
+    
+    else:
+        try:
+            endpoint = endpoint
+            key = key
+
+            entity_recognition_client = TextAnalyticsClient(endpoint=endpoint, credential=AzureKeyCredential(key))
+
+            documents = tuple(statements.split("\n"))
+
+            result = entity_recognition_client.recognize_entities(documents)[0]
+                    
+
+            reviews = ()
+            for entity in result.entities:
+                reviews = reviews + (f"Text: {entity.text} \t | \t Category: {entity.category} \t | \t Confidence Score: {round(entity.confidence_score, 2)}",)
+                            
+            output = "\n".join(reviews)
+        except:
+            output = "*** Please check EndPoint URL and API_KEY ***"
+
+    return output
+
+
+
+demo = gr.Interface( fn = EntityRecognition, inputs= [ gr.Textbox("https://t9xt.cognitiveservices.azure.com/",label="Enter your Endpoint URL", placeholder="URL", lines=1), gr.Textbox("46758f0003684f1b8c6fb73dfd7f98db",type = "password", label="Enter your API-Key", placeholder="API-Key", lines=1), gr.Textbox()], outputs= gr.Textbox(), title = title, description = description).launch()