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.gitignore

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+.env
+__pycache__/
+*.pyc

README.md

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----
-title: Terms Analyzer
-emoji: 📉
-colorFrom: indigo
-colorTo: gray
-sdk: gradio
-sdk_version: 5.32.1
-app_file: app.py
-pinned: false
-short_description: Summarizes Terms and Conditions for users
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📝 Terms & Conditions Summarizer Chatbot
+
+![Python](https://img.shields.io/badge/Python-3.10-blue.svg)
+![Gradio](https://img.shields.io/badge/Gradio-4.26.0-lightgrey.svg)
+![Groq](https://img.shields.io/badge/Groq-0.8.0-blueviolet.svg)
+![LLaMA-3](https://img.shields.io/badge/LLaMA--3-v3.1-orange.svg)
+![python-dotenv](https://img.shields.io/badge/python--dotenv-1.0.0-informational.svg)
+
+A Gradio-based chatbot that reads long and complex Terms & Conditions (T&C) and gives you a simplified summary with just the **key points** using **LLaMA 3** via the **Groq API**.
+
+---
+
+## 📘 Project Overview
+
+This app helps users understand lengthy legal documents by providing:
+
+- ⚡ Fast, AI-generated summaries of T&C content
+- 📄 Support for both **pasted text** and **.txt file uploads**
+- 💬 Summaries written in **bullet points** for clarity
+- 🧠 Powered by **LLaMA 3** hosted on **Groq** for speed and accuracy
+
+---
+
+## 🧩 Features
+
+- Accepts raw T&C text via a text box or `.txt` file upload
+- Converts dense legal language into simplified, digestible bullet points
+- Utilizes Groq's blazing-fast inference with LLaMA 3 (8B)
+- Simple and clean Gradio interface
+- Automatically handles both user input modes (text or file)
+
+---
+
+## 📋 Requirements
+
+- Python 3.8+
+- gradio
+- groq
+- python-dotenv
+
+---
+
+## ⚙️ Setup Instructions
+
+1. **Clone the repository**
+
+   ```bash
+   git clone https://github.com/your-username/terms-summarizer-chatbot.git
+   cd terms-summarizer-chatbot

app.py

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+import gradio as gr
+import os
+from dotenv import load_dotenv
+from groq import Groq
+
+# Load API Key
+load_dotenv()
+client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+
+# Summarization Prompt Template
+def summarize_terms(text):
+    if not text.strip():
+        return "Please enter or upload some Terms & Conditions text."
+
+    prompt = f"""
+You are a legal assistant chatbot. A user has provided the following Terms & Conditions. Your task is to summarize it into a few essential and easy-to-understand bullet points that highlight the most important clauses, limitations, or obligations. Be concise and user-friendly.
+
+Terms & Conditions:
+{text}
+
+Summarize:
+"""
+
+    try:
+        response = client.chat.completions.create(
+            model="llama3-8b-8192",
+            messages=[{"role": "user", "content": prompt}],
+            temperature=0.3,
+        )
+        return response.choices[0].message.content.strip()
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# File Input Handler
+def handle_inputs(text_input, file):
+    if file:
+        text = file.read().decode("utf-8")
+    else:
+        text = text_input
+    return summarize_terms(text)
+
+# Gradio Interface
+with gr.Blocks(title="T&C Summarizer Chatbot") as demo:
+    gr.Markdown("## 📜 Terms & Conditions Summarizer\nSummarize complex legal T&C into clear bullet points using LLaMA 3 by Groq.")
+
+    with gr.Row():
+        text_input = gr.Textbox(lines=10, label="Paste Terms & Conditions")
+        file_input = gr.File(label="Or Upload a .txt File", file_types=[".txt"])
+
+    summarize_button = gr.Button("Summarize")
+    output = gr.Textbox(label="Summarized Points", lines=10)
+
+    summarize_button.click(fn=handle_inputs, inputs=[text_input, file_input], outputs=output)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+groq
+python-dotenv