| 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() |
|
|
