File size: 1,127 Bytes
0fb2f54 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | import streamlit as st
import requests
st.set_page_config(page_title="🧠 Sentiment Analysis", layout="centered")
st.title("🧠 Sentiment Analysis via FastAPI")
st.write("Enter some text below and get sentiment prediction using a remote FastAPI service.")
API_URL = "https://fastapi-sentiment-analysis.onrender.com/analyze"
user_input = st.text_area("Enter your text here", height=150)
if st.button("Analyze"):
if user_input.strip() == "":
st.warning("Please enter some text.")
else:
with st.spinner("Analyzing..."):
response = requests.post(API_URL, json={"text": user_input})
if response.status_code == 200:
result = response.json()
analysis = result.get("analysis", {})
label = analysis.get("label", "Unknown")
score = analysis.get("score", 0.0)
st.success(f"**Sentiment:** {label} (Confidence: {score:.2%})")
else:
st.error(f"Failed to get a valid response from the API. Status code: {response.status_code}")
if st.button("Clear"):
st.experimental_rerun()
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