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import streamlit as st
from google.cloud import language_v1
from google.oauth2 import service_account
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
credentials_info = 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.")
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