Update app.py

app.py

@@ -12,16 +12,9 @@ def sample_analyze_entities(text_content):
         service_account_info, scopes=["https://www.googleapis.com/auth/cloud-platform"]
     )
 
-    # Debug: Print or log the type and content of credentials
-    st.write(f"Debug - Type of credentials: {type(credentials)}")
-    st.write(f"Debug - Content of credentials: {credentials}")
-
     # Initialize the LanguageServiceClient with the credentials
     client = language_v1.LanguageServiceClient(credentials=credentials)
     
-# Your provided function
-
-
     type_ = language_v1.Document.Type.PLAIN_TEXT
     language = "en"
     document = {"content": text_content, "type_": type_, "language": language}
@@ -29,20 +22,6 @@ def sample_analyze_entities(text_content):
 
     response = client.analyze_entities(request={"document": document, "encoding_type": encoding_type})
 
-    for entity in response.entities:
-        st.write(f"Representative name for the entity: {entity.name}")
-        st.write(f"Entity type: {language_v1.Entity.Type(entity.type_).name}")
-        st.write(f"Salience score: {entity.salience}")
-
-        for metadata_name, metadata_value in entity.metadata.items():
-            st.write(f"{metadata_name}: {metadata_value}")
-
-        for mention in entity.mentions:
-            st.write(f"Mention text: {mention.text.content}")
-            st.write(f"Mention type: {language_v1.EntityMention.Type(mention.type_).name}")
-
-    st.write(f"Language of the text: {response.language}")
-
     # Create an empty list to hold the results
     entities_list = []
 
@@ -83,4 +62,5 @@ def sample_analyze_entities(text_content):
             st.write("**Mentions**: ")
             st.json(entity["Mentions"])
 
-    st.write(f"### Language of the text: {response.language}")
+
+    st.write(f"### Language of the text: {response.language}")