Update app.py

app.py

@@ -1,38 +1 @@
-import streamlit as st
-from google.cloud import language_v1
-from google.oauth2 import service_account
-import json
-
-def print_result(annotations):
-    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 (load as JSON)
-    credentials_info = json.loads(st.secrets["GOOGLE_APPLICATION_CREDENTIALS"])
-    credentials = service_account.Credentials.from_service_account_info(credentials_info)
-
-    client = language_v1.LanguageServiceClient(credentials=credentials)
-
-    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")
-st.write("Enter some text to analyze its sentiment:")
-
-text_input = st.text_area("Text to analyze", height=200)
-
-if st.button("Analyze Sentiment"):
-    if text_input:
-        annotations = analyze_sentiment(text_input) 
-        print_result(annotations)
-    else:
-        st.warning("Please enter some text.")
+st.write(st.secrets["GOOGLE_APPLICATION_CREDENTIALS"])