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Create app.py
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app.py
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import streamlit as st
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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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import tempfile
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from dotenv import load_dotenv
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import os
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from phi.model.groq import Groq
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from phi.tools.youtube_tools import YouTubeTools
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# Load environment variables
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load_dotenv()
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# Configure API keys
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API_KEY = os.getenv("GOOGLE_API_KEY")
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groq_api_key = os.getenv("GROQ_API_KEY")
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if API_KEY:
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genai.configure(api_key=API_KEY)
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# Page configuration
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st.set_page_config(
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page_title="Multimodal AI Applications",
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page_icon="π",
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layout="wide"
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)
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# Tabs for the two applications
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tab1, tab2 = st.tabs(["Video Summarizer", "YouTube Video Analyzer"])
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# Tab 1: Video Summarizer with Gemini
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with tab1:
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st.title("Phidata Video AI 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="Video AI 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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video_file = st.file_uploader(
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"Upload a video file",
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type=['mp4'],
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help="Upload a video for AI analysis"
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)
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if video_file:
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with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_video:
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temp_video.write(video_file.read())
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video_path = temp_video.name
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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. This AI agent can search the internet.",
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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("Processing 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 uploaded video for content and context. Provide a detailed summary. Search the internet for similar topics discussed in the uploaded video.
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Respond to the following query using video insights and supplementary web research: {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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else:
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st.info("Upload a video file to begin analysis.")
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# Tab 2: YouTube Video Analyzer with Groq
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with tab2:
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st.title("YouTube Video Analyzer")
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st.header("Analyze Youtube video using video link π¬ π§·")
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try:
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youtube_agent = Agent(
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model=Groq(id="llama3-8b-8192", api_key=groq_api_key),
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tools=[YouTubeTools(), DuckDuckGo()],
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show_tool_calls=True,
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get_video_captions=True,
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get_video_data = True,
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description="You are a YouTube agent. Obtain the captions of a YouTube video, analyze its content and context, provide detailed summaries with key points, conduct web research on similar topics, and answer user questions.",
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)
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except Exception as e:
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st.error(f"Error initializing the agent: {e}")
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st.stop()
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video_url = st.text_input("Enter YouTube Video URL:", "")
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user_query = st.text_area("Enter your question about the video (optional):", "")
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if st.button("β¨ Analyze the Video", key="Analyze_Video_Button"):
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if video_url:
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with st.spinner("Analyzing..."):
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try:
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prompt_prefix = """Analyze the YouTube video provided by the URL. Provide a detailed summary of the video, including key points.
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Structure the output as follows:
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**Detailed Summary:**
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[Detailed summary of the video content]
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**Key Points:**
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* [Key point 1]
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* [Key point 2]
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* [Key point 3]
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... (and so on)
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Conduct web research on similar topics discussed in the video to provide additional context.
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"""
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if user_query:
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prompt = f"""{prompt_prefix}
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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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Video URL: {video_url}"""
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else:
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prompt = f"""{prompt_prefix}
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Video URL: {video_url}"""
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output = youtube_agent.run(prompt)
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st.markdown(output.content)
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except Exception as e:
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st.error(f"Error analyzing the video: {e}")
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else:
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st.warning("Please enter a YouTube video URL.")
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