Update app.py

app.py

@@ -1,23 +1,26 @@
 import streamlit as st
+from google.cloud import language_v1
 import os
 
-# Read API key if stored as an env variable
-api_key = os.environ.get("GOOGLE_API_KEY")
-
-# Your existing function
+# Your existing function (replace this part with your actual code)
 def sample_analyze_entities(text_content):
     st.write("Debug: Entered sample_analyze_entities")
     try:
-        # Placeholder: Your existing code to make Google Cloud NLP API call goes here
+        client = language_v1.LanguageServiceClient()
+
+        type_ = language_v1.Document.Type.PLAIN_TEXT
+        language = "en"
+        document = {"content": text_content, "type_": type_, "language": language}
+        encoding_type = language_v1.EncodingType.UTF8
+
         st.write("Debug: Making API call...")
         
-        # Example: (Replace this with your actual API call)
-        # response = client.analyze_entities(...)
-        
+        response = client.analyze_entities(request={"document": document, "encoding_type": encoding_type})
+
         st.write("Debug: API call completed.")
         
-        # Placeholder: Process the response and display output
-        # st.write(response)
+        for entity in response.entities:
+            st.write(f"Entity: {entity.name}, Type: {language_v1.Entity.Type(entity.type_).name}, Salience: {entity.salience}")
     except Exception as e:
         st.write(f"Debug: An error occurred: {e}")