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| import streamlit as st | |
| import requests | |
| import tempfile | |
| # ✅ Hugging Face API Endpoints (Using Relative URLs) | |
| BACKEND_URL = "https://tejash300-ai-legal-assistant.hf.space" | |
| ANALYZE_API_URL = f"{BACKEND_URL}/analyze_legal_document" | |
| CHATBOT_API_URL = f"{BACKEND_URL}/chatbot" | |
| VIDEO_ANALYZE_API_URL = f"{BACKEND_URL}/analyze_video" | |
| # ✅ Configure Streamlit | |
| st.set_page_config(page_title="AI-Powered Legal Assistant", layout="wide") | |
| # ✅ Sidebar Navigation | |
| menu = st.sidebar.radio("📌 Navigation", ["🏠 Home", "📊 Legal Document Analyzer", "🎥 Video Analyzer", "🤖 Legal Chatbot"]) | |
| if menu == "🏠 Home": | |
| st.title("📜 AI-Powered Legal & Video Assistant") | |
| st.markdown("👋 Welcome to your AI-powered legal and video assistant! Choose an option from the sidebar.") | |
| elif menu == "📊 Legal Document Analyzer": | |
| st.title("📑 Legal Document Analyzer") | |
| uploaded_file = st.file_uploader("📂 Upload a PDF document", type=["pdf"]) | |
| if uploaded_file: | |
| st.success("✅ File uploaded successfully! Analyzing...") | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as temp_file: | |
| temp_file.write(uploaded_file.getbuffer()) | |
| temp_file_path = temp_file.name | |
| files = {"file": open(temp_file_path, "rb")} | |
| try: | |
| response = requests.post(ANALYZE_API_URL, files=files, timeout=120) | |
| response.raise_for_status() | |
| result = response.json() | |
| # 📄 Document Summary | |
| st.subheader("📑 Document Summary") | |
| st.write(result.get("summary", "No summary available.")) | |
| except requests.exceptions.RequestException as e: | |
| st.error(f"❌ API Error: {e}") | |
| elif menu == "🎥 Video Analyzer": | |
| st.title("🎬 Video Content Analyzer") | |
| uploaded_video = st.file_uploader("📂 Upload a Video File", type=["mp4", "avi", "mov"]) | |
| if uploaded_video: | |
| st.success("✅ Video uploaded successfully! Analyzing...") | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as temp_file: | |
| temp_file.write(uploaded_video.getbuffer()) | |
| temp_file_path = temp_file.name | |
| files = {"file": open(temp_file_path, "rb")} | |
| try: | |
| response = requests.post(VIDEO_ANALYZE_API_URL, files=files, timeout=180) | |
| response.raise_for_status() | |
| result = response.json() | |
| if result.get("status") == "success": | |
| # 📄 Video Transcript | |
| st.subheader("📜 Video Transcript") | |
| st.write(result.get("transcript", "No transcript available.")) | |
| else: | |
| st.warning("⚠️ No valid data returned from the video analysis API.") | |
| except requests.exceptions.RequestException as e: | |
| st.error(f"❌ API Error: {e}") | |
| elif menu == "🤖 Legal Chatbot": | |
| st.title("🤖 AI Legal Chatbot") | |
| st.write("💡 Ask any legal question and get AI-powered responses!") | |
| user_query = st.text_input("💬 Ask a legal question:") | |
| if st.button("🔍 Get Answer"): | |
| if user_query.strip(): | |
| st.info("⏳ Processing your query...") | |
| try: | |
| response = requests.post(CHATBOT_API_URL, json={"query": user_query}, timeout=60) | |
| response.raise_for_status() | |
| chatbot_response = response.json().get("answer", "No response available.") | |
| st.subheader("💡 AI's Response") | |
| st.success(chatbot_response) | |
| except requests.exceptions.RequestException as e: | |
| st.error(f"❌ API Error: {e}") | |
| else: | |
| st.warning("⚠️ Please enter a question before submitting.") | |