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import streamlit as st
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 google.generativeai as genai
import time
from pathlib import Path
import tempfile
from dotenv import load_dotenv
import os
from pytube import YouTube # Import pytube for downloading YouTube videos
load_dotenv()
API_KEY = os.getenv("GOOGLE_API_KEY")
if API_KEY:
genai.configure(api_key=API_KEY)
# Page configuration
st.set_page_config(
page_title="Multimodal AI Agent- Video Summarizer",
page_icon="🎥",
layout="wide"
)
st.title("Phidata Video AI Summarizer Agent 🎥🎤🖬")
st.header("Powered by Gemini 2.0 Flash Exp")
@st.cache_resource
def initialize_agent():
return Agent(
name="Video AI Summarizer",
model=Gemini(id="gemini-2.0-flash-exp"),
tools=[DuckDuckGo()],
markdown=True,
)
# Initialize the agent
multimodal_Agent = initialize_agent()
# YouTube video URL input
video_url = st.text_input(
"Enter a YouTube video URL",
help="Paste a YouTube video link for AI analysis"
)
if video_url:
try:
# Download the YouTube video
yt = YouTube(video_url)
video_stream = yt.streams.filter(progressive=True, file_extension='mp4').first()
# Create a temporary file to save the video
with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_video:
video_stream.download(output_path=temp_video.name)
video_path = temp_video.name
st.video(video_path, format="video/mp4", start_time=0)
user_query = st.text_area(
"What insights are you seeking from the video?",
placeholder="Ask anything about the video content. The AI agent will analyze and gather additional context if needed.",
help="Provide specific questions or insights you want from the video."
)
if st.button("🔍 Analyze Video", key="analyze_video_button"):
if not user_query:
st.warning("Please enter a question or insight to analyze the video.")
else:
try:
with st.spinner("Processing video and gathering insights..."):
# Upload and process the video file
processed_video = upload_file(video_path)
while processed_video.state.name == "PROCESSING":
time.sleep(1)
processed_video = get_file(processed_video.name)
# Prompt generation for analysis
analysis_prompt = (
f"""
Analyze the uploaded video for content and context.
Respond to the following query using video insights and supplementary web research:
{user_query}
Provide a detailed, user-friendly, and actionable response.
"""
)
# AI agent processing
response = multimodal_Agent.run(analysis_prompt, videos=[processed_video])
# Display the result
st.subheader("Analysis Result")
st.markdown(response.content)
except Exception as error:
st.error(f"An error occurred during analysis: {error}")
finally:
# Clean up temporary video file
Path(video_path).unlink(missing_ok=True)
except Exception as e:
st.error(f"Error downloading YouTube video: {e}")
else:
st.info("Paste a YouTube video URL to begin analysis.")
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