Update app.py

app.py

@@ -1,13 +1,27 @@
 import streamlit as st
 from google.cloud import language_v1
+from google.oauth2 import service_account
 
 def print_result(annotations):
-    # ... (same as your existing function)
+    score = annotations.document_sentiment.score
+    magnitude = annotations.document_sentiment.magnitude
+
+    for index, sentence in enumerate(annotations.sentences):
+        sentence_sentiment = sentence.sentiment.score
+        st.write(f"Sentence {index} has a sentiment score of {sentence_sentiment}")
+
+    st.write(f"Overall Sentiment: score of {score} with magnitude of {magnitude}")
+
+def analyze_sentiment(texts):
+    # Load credentials directly from secrets
+    credentials_info = st.secrets["GOOGLE_APPLICATION_CREDENTIALS"]
+    credentials = service_account.Credentials.from_service_account_info(credentials_info)
+
+    client = language_v1.LanguageServiceClient(credentials=credentials)
 
-def analyze_sentiment(texts): # Modify for text input (texts will be a string)
-    client = language_v1.LanguageServiceClient()
     document = language_v1.Document(content=texts, type_=language_v1.Document.Type.PLAIN_TEXT)
     annotations = client.analyze_sentiment(request={"document": document})
+
     return annotations
 
 st.title("Sentiment Analysis App")