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 AnalyzeSentiment(endpoint, key, statements):
+    
+    
+    if (endpoint == '' or key == ''):
+        output = "*** Please provide EndPoint URL and API_KEY ***"
+    
+    else:
+        try:
+            endpoint = endpoint
+            key = key
+
+            text_analytics_client = TextAnalyticsClient(endpoint=endpoint, credential=AzureKeyCredential(key))
+
+            documents = tuple(statements.split("\n"))
+
+            result = text_analytics_client.analyze_sentiment(documents, show_opinion_mining=True)
+            docs = [doc for doc in result if not doc.is_error]
+
+            reviews = ()
+            for idx, doc in enumerate(docs):
+                reviews = reviews + (f"Document text: {documents[idx]}",)
+                reviews = reviews + (f"Overall sentiment: {doc.sentiment} {doc.confidence_scores}",)
+            
+            output = "\n\n".join(reviews)
+    
+        except:
+            output = "*** Please check EndPoint URL and API_KEY ***"
+    return output
+
+demo = gr.Interface( fn = AnalyzeSentiment, inputs= [ gr.Textbox("https://t9xt.cognitiveservices.azure.com/"), gr.Textbox("46758f0003684f1b8c6fb73dfd7f98db"), gr.Textbox()], outputs= gr.Textbox()).launch()