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import streamlit as st
import requests
from PIL import Image
# FastAPI Backend URL
API_URL = "https://chittrarasu-image-search-engine-fastapi.hf.space/search"
st.title("🔍 Image Search Engine")
# Choose Search Type (Text or Image)
option = st.radio("Search by:", ("Text", "Image"))
# 📝 Text-based Search
if option == "Text":
query = st.text_input("Enter search query:")
if st.button("Search") and query:
try:
response = requests.get(f"{API_URL}/text", params={"query": query})
response.raise_for_status()
results = response.json()
if "matches" in results and results["matches"]:
st.subheader("🔎 Similar Images")
for match in results["matches"]:
image_url = match.get("url", "")
if image_url:
st.image(image_url, width=300)
else:
st.warning("⚠️ No image URL found.")
else:
st.warning("⚠️ No similar images found.")
except requests.exceptions.RequestException as e:
st.error(f"❌ Error: {e}")
# 📷 Image-based Search
elif option == "Image":
uploaded_file = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
if uploaded_file:
image = Image.open(uploaded_file)
st.image(image, caption="📷 Uploaded Image", width=300)
if st.button("Search"):
try:
files = {"file": (uploaded_file.name, uploaded_file.getvalue(), uploaded_file.type)}
response = requests.post(f"{API_URL}/image", files=files)
response.raise_for_status()
results = response.json()
if "matches" in results and results["matches"]:
st.subheader("🔎 Similar Images")
for match in results["matches"]:
image_url = match.get("url", "")
if image_url:
st.image(image_url, width=300)
else:
st.warning("⚠️ No image URL found.")
else:
st.warning("⚠️ No similar images found.")
except requests.exceptions.RequestException as e:
st.error(f"❌ Error: {e}") |