diff --git a/ai_agent_tutorials/gemini_multimodal_agent_demo/multimodal_ai_agent.py b/ai_agent_tutorials/gemini_multimodal_agent_demo/multimodal_ai_agent.py
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+++ b/ai_agent_tutorials/gemini_multimodal_agent_demo/multimodal_ai_agent.py
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+from phi.agent import Agent
+from phi.model.google import Gemini
+from phi.tools.duckduckgo import DuckDuckGo
+from google.generativeai import upload_file, get_file
+import time
+
+# 1. Initialize the Multimodal Agent
+agent = Agent(model=Gemini(id="gemini-2.0-flash-exp"), tools=[DuckDuckGo()], markdown=True)
+
+# 2. Image Input
+image_url = "https://example.com/sample_image.jpg"
+
+# 3. Audio Input
+audio_file = "sample_audio.mp3"
+
+# 4. Video Input
+video_file = upload_file("sample_video.mp4")  
+while video_file.state.name == "PROCESSING":  
+    time.sleep(2)
+    video_file = get_file(video_file.name)
+
+# 5. Multimodal Query
+query = """ 
+Combine insights from the inputs:
+1. **Image**: Describe the scene and its significance.  
+2. **Audio**: Extract key messages that relate to the visual.  
+3. **Video**: Look at the video input and provide insights that connect with the image and audio context.  
+4. **Web Search**: Find the latest updates or events linking all these topics.
+Summarize the overall theme or story these inputs convey.
+"""
+
+# 6. Multimodal Agent generates unified response
+agent.print_response(query, images=[image_url], audio=audio_file, videos=[video_file], stream=True)
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