Update app.py

app.py

@@ -1,46 +1,6 @@
 import streamlit as st
-from pytube import YouTube
 from youtube_transcript_api import YouTubeTranscriptApi
 from youtube_transcript_api.formatters import SRTFormatter
-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
-from dotenv import load_dotenv
-import os
-import tempfile
-
-# Load environment variables
-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="YouTube Video Summarizer",
-    page_icon="🎥",
-    layout="wide"
-)
-
-st.title("Phidata YouTube Video Summarizer Agent 🎥🎤🖬")
-st.header("Powered by Gemini 2.0 Flash Exp")
-
-@st.cache_resource
-def initialize_agent():
-    return Agent(
-        name="YouTube Video Summarizer",
-        model=Gemini(id="gemini-2.0-flash-exp"),
-        tools=[DuckDuckGo()],
-        markdown=True,
-    )
-
-# Initialize the agent
-multimodal_Agent = initialize_agent()
 
 # Function to get captions using youtube-transcript-api
 def get_youtube_captions(youtube_url):
@@ -92,44 +52,6 @@ if youtube_url:
             else:
                 st.error(captions)
 
-        # User query input
-        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("Analyzing video and gathering insights..."):
-                        # Upload and process the transcript (captions)
-                        processed_captions = upload_file(captions)
-                        while processed_captions.state.name == "PROCESSING":
-                            time.sleep(1)
-                            processed_captions = get_file(processed_captions.name)
-
-                        # Prompt generation for analysis
-                        analysis_prompt = (
-                            f"""
-                            Analyze the content of the uploaded YouTube video.
-                            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_captions])
-
-                    # Display the result
-                    st.subheader("Analysis Result")
-                    st.markdown(response.content)
-
-                except Exception as error:
-                    st.error(f"An error occurred during analysis: {error}")
     except Exception as e:
         st.error(f"An error occurred: {e}")
 else: