Update README.md

Author: aliottoman

ai/generative-ai-service/Video-Image-Analysis-using-Langchain/README.md

@@ -9,14 +9,7 @@ This is a Generative AI-powered application that analyzes frames from uploaded v
 - Highlight frames flagged as inappropriate with detailed reasons and timecodes.
 - Adjust AI confidence threshold and frame extraction interval. (Effects the prompt for confidence)
 
-## Prerequisites
-Before running the application, ensure you have:
-- Python 3.8 or later installed
-- An active Oracle Cloud Infrastructure (OCI) account
-- Required Python dependencies installed
-- OCI Generative AI model name and compartment ID
-
-## How It Works
+## Getting Started
 1. **Upload Media:**
    - Users upload a video or image file for analysis.
 2. **Frame Extraction:**
@@ -28,14 +21,12 @@ Before running the application, ensure you have:
    - Inappropriate frames (based on confidence threshold) are displayed along with the reason and timecode.
    - A final PG-rating verdict is shown at the end.
 
-## Example Output
-```json
-{
-    "AgeAppropriate": "not-appropriate",
-    "response": "Shows intense violence and blood spatter.",
-    "ConfidenceLevel": 0.97
-}
-```
+## Prerequisites
+Before running the application, ensure you have:
+- Python 3.8 or later installed
+- An active Oracle Cloud Infrastructure (OCI) account
+- Required Python dependencies installed
+- OCI Generative AI model name and compartment ID
 
 ## Installation
 Clone this repository and navigate to the project directory:
@@ -68,3 +59,21 @@ streamlit run <script-name>.py
 ```
 
 Replace `<script-name>.py` with the filename of your main script (e.g., `video_analyzer.py`).
+
+## Example Output
+```json
+{
+    "AgeAppropriate": "not-appropriate",
+    "response": "Shows intense violence and blood spatter.",
+    "ConfidenceLevel": 0.97
+}
+```
+
+## License
+Copyright (c) 2024 Oracle and/or its affiliates.
+
+Licensed under the Universal Permissive License (UPL), Version 1.0.
+
+See [LICENSE](LICENSE.txt) for more details.
+
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