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import streamlit as st | |
from PIL import Image | |
import requests | |
from io import BytesIO | |
import json | |
profile_default_image_url = "https://t4.ftcdn.net/jpg/03/46/93/61/360_F_346936114_RaxE6OQogebgAWTalE1myseY1Hbb5qPM.jpg" | |
insta_rag_url = "https://us-central1-steam-cache-277314.cloudfunctions.net/gemini-hackathon-insta-influencer" | |
def show_influencer_search_page(): | |
st.header("Influencer Search and Analysis") | |
st.markdown("Discover influencers by name, niche, location, follower count, and more.") | |
search_query = st.text_input("Search Influencers", "") | |
# Influencer search button | |
search_button = st.button("Search Influencers") | |
if search_button: | |
data = {"search_query": search_query} | |
resp = requests.post(insta_rag_url, json=data) | |
influencers_list = json.loads(resp.text) | |
for influencer_data in influencers_list: | |
# Download image | |
profile_img_url = influencer_data.get('profile_image_url', profile_default_image_url) | |
img_response = requests.get(profile_img_url) | |
image_url = profile_default_image_url | |
if img_response.status_code == 200: | |
image_url = f"downloaded_image_{influencer_data.get('handle', 'NoName')}.jpg" | |
with open(image_url, "wb") as file: | |
file.write(img_response.content) | |
# Display influencer data | |
col1, col2 = st.columns([1, 3]) | |
with col1: | |
st.image(image_url, width=150) | |
with col2: | |
with st.expander(f"{influencer_data.get('name', 'No Name')}'s Details"): | |
st.markdown(f"**Handle:** {influencer_data.get('handle', 'No Handle')}") | |
st.markdown(f"**Bio:** {influencer_data.get('bio', 'No Bio')}") | |
st.markdown(f"**Email:** {influencer_data.get('email', 'N/A')}") | |
st.markdown(f"**Country:** {influencer_data.get('country', 'N/A')}") | |
st.markdown(f"**Location:** {influencer_data.get('location', 'N/A')}") | |
st.markdown(f"**Followers Count:** {influencer_data.get('followers_count', 'N/A')}") | |
st.markdown(f"**Engagement Rate:** {influencer_data.get('engagement_rate', 'N/A')*100:.2f}%") | |
st.markdown("### Frequent Hashtags") | |
hashtags = influencer_data.get('frequent_hashtags', []) | |
st.write(hashtags) | |
st.markdown("### Post Summary") | |
st.write(influencer_data.get('post_summary', 'N/A')) |