Add application file

.gitignore

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+# Ignore virtual environments
+venv/
+myenv/
+env/
+
+# Ignore compiled Python files
+__pycache__/
+*.pyc
+*.pyo
+
+# Ignore Jupyter Notebook checkpoints
+.ipynb_checkpoints/
+
+# Ignore environment variables file
+.env

LICENCE

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+MIT License
+
+Copyright (c) 2025 Abdulhameed
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,14 +1,41 @@
+# 🧠 VeraCT Scan-like Fake News Detection System
+
+A powerful, AI-enhanced news verification API that analyzes the credibility of news content by cross-referencing reliable sources, extracting entities, and applying reasoning from large language models. Built with FastAPI, LangChain, Groq's LLaMA-4 model, spaCy, and multiple real-time search APIs.
+
 ---
-title: VeraCT Scan News Verification System
-emoji: 📉
-colorFrom: pink
-colorTo: red
-sdk: streamlit
-sdk_version: 1.44.1
-app_file: app.py
-pinned: false
-license: mit
-short_description: 'This system doesn’t just scan news—it investigates. Type in '
+
+## 🚀 Key Features
+
+- ✅ **Headline & Content Verification** using LLM + multi-source matching
+- 🌐 **Reliable Domain Detection** from over 600+ trusted sources
+- 🧠 **LLM Verdict Generation** (VERIFIED, LIKELY FAKE, or REQUIRES MORE VERIFICATION)
+- 🔍 **Entity Extraction** with spaCy (ORG, PERSON, EVENT, etc.)
+- 🛡️ **Cross-checking** with [SearchAPI](https://www.searchapi.io/) and [Tavily](https://www.tavily.com/)
+- 🔐 **.env-based API Key Security**
+- 🧪 API Testing endpoints for dev setup
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## 🧩 Tech Stack
+
+- **Python 3.10+**
+- **FastAPI**
+- **LangChain + Groq LLaMA-4**
+- **spaCy (NER & NLP)**
+- **SearchAPI + Tavily**
+- **Pydantic + CORS middleware**
+- **Uvicorn (ASGI server)**
+
+- ## 🛡️ License
+
+This project is licensed under the [MIT License](LICENSE).
+
+---
+
+## ⚙️ Setup Instructions
+
+### 1. Clone the repository
+
+```bash
+git clone https://github.com/Abdulhameed556/VeraCT_Scan-like_news_verification_system_1.git
+cd VeraCT_Scan-like_News_Verification_System

client.py

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+import streamlit as st
+import requests
+
+st.set_page_config(page_title="AI News Verifier", layout="centered")
+
+st.title("📰 AI-Powered News Verification")
+st.write("Check if a news headline and content are truthful based on reliable sources using AI.")
+
+# Input fields
+headline = st.text_input("🗞️ News Headline", "")
+content = st.text_area("🧾 News Content", "")
+
+if st.button("🔍 Verify News"):
+    if not headline or not content:
+        st.warning("⚠️ Please enter both a headline and content.")
+    else:
+        api_url = "https://news-web-application-ai-news-detector.onrender.com/verify"  # <- Make sure this matches your FastAPI route
+        
+        payload = {"headline": headline, "content": content}
+        
+        try:
+            response = requests.post(api_url, json=payload)
+            
+            if response.status_code == 200:
+                result = response.json()
+                st.success("✅ News verification completed.")
+                st.subheader("🧠 AI Verdict")
+                st.markdown(f"**Verdict:** {result['verdict']}")
+                st.markdown("**LLM Analysis:**")
+                st.write(result['llm_response'])
+            else:
+                st.error(f"❌ Server responded with status code {response.status_code}. Please try again.")
+        
+        except requests.exceptions.RequestException as e:
+            st.error(f"🚫 Request failed: {e}")

requirements.txt

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+langserve
+fastapi
+uvicorn
+sse_starlette
+bs4
+pypdf
+chromadb
+faiss-cpu
+wikipedia
+arxiv
+langchainhub
+groq
+streamlit
+sentence_transformers
+transformers
+langchain_community
+langchain_groq