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import streamlit as st |
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from yt_dlp import YoutubeDL |
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from phi.agent import Agent |
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from phi.model.google import Gemini |
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from phi.tools.duckduckgo import DuckDuckGo |
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from google.generativeai import upload_file, get_file |
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import google.generativeai as genai |
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import time |
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from pathlib import Path |
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from dotenv import load_dotenv |
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import os |
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import tempfile |
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load_dotenv() |
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API_KEY = os.getenv("GOOGLE_API_KEY") |
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if API_KEY: |
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genai.configure(api_key=API_KEY) |
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st.set_page_config( |
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page_title="YouTube Video Summarizer", |
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page_icon="π₯", |
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layout="wide" |
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) |
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st.title("Phidata YouTube Video Summarizer Agent π₯π€π¬") |
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st.header("Powered by Gemini 2.0 Flash Exp") |
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@st.cache_resource |
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def initialize_agent(): |
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return Agent( |
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name="YouTube Video Summarizer", |
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model=Gemini(id="gemini-2.0-flash-exp"), |
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tools=[DuckDuckGo()], |
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markdown=True, |
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) |
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multimodal_Agent = initialize_agent() |
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def download_youtube_video(youtube_url): |
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as temp_video: |
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ydl_opts = { |
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'format': 'bestvideo+bestaudio/best', |
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'outtmpl': temp_video.name, |
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'quiet': True, |
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} |
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with YoutubeDL(ydl_opts) as ydl: |
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ydl.download([youtube_url]) |
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return temp_video.name |
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youtube_url = st.text_input( |
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"Enter the YouTube video link", |
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placeholder="Paste the YouTube video URL here", |
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help="Provide the link to the YouTube video you want to summarize." |
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) |
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if youtube_url: |
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try: |
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with st.spinner("Downloading and processing the YouTube video..."): |
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video_path = download_youtube_video(youtube_url) |
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st.video(video_path, format="video/mp4", start_time=0) |
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user_query = st.text_area( |
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"What insights are you seeking from the video?", |
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placeholder="Ask anything about the video content. The AI agent will analyze and gather additional context if needed.", |
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help="Provide specific questions or insights you want from the video." |
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) |
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if st.button("π Analyze Video", key="analyze_video_button"): |
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if not user_query: |
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st.warning("Please enter a question or insight to analyze the video.") |
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else: |
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try: |
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with st.spinner("Analyzing video and gathering insights..."): |
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processed_video = upload_file(video_path) |
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while processed_video.state.name == "PROCESSING": |
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time.sleep(1) |
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processed_video = get_file(processed_video.name) |
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analysis_prompt = ( |
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f""" |
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Analyze the content of the uploaded YouTube video. |
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Respond to the following query using video insights and supplementary web research: |
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{user_query} |
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Provide a detailed, user-friendly, and actionable response. |
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""" |
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) |
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response = multimodal_Agent.run(analysis_prompt, videos=[processed_video]) |
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st.subheader("Analysis Result") |
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st.markdown(response.content) |
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except Exception as error: |
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st.error(f"An error occurred during analysis: {error}") |
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finally: |
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Path(video_path).unlink(missing_ok=True) |
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except Exception as e: |
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st.error(f"An error occurred while downloading the video: {e}") |
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else: |
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st.info("Enter a YouTube video link to begin analysis.") |
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