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.env

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+PHI_API_KEY="phi-iK_cTAeZBqDGSyz6li46C5v7c-DvsSqazDFR8TDJvrE"
+GROQ_API_KEY="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" 
+OPENAI_API_KEY="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"
+GOOGLE_API_KEY="AIzaSyA6pBfBHg3zK_3JtB6fRoYUcG4589RjSjg"

app.py

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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
+load_dotenv()
+
+import os
+
+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()
+
+# File uploader
+video_file = st.file_uploader(
+    "Upload a video file", type=['mp4', 'mov', 'avi'], help="Upload a video for AI analysis"
+)
+
+if video_file:
+    with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as temp_video:
+        temp_video.write(video_file.read())
+        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 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)
+else:
+    st.info("Upload a video file to begin analysis.")
+
+# Customize text area height
+st.markdown(
+    """
+    <style>
+    .stTextArea textarea {
+        height: 100px;
+    }
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+

requirements.txt

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+phidata 
+python-dotenv
+yfinance
+packaging
+duckduckgo-search
+fastapi
+uvicorn
+groq
+openai
+sqlalchemy
+pgvector
+psycopg[binary]
+pypdf
+streamlit
+phidata
+google-generativeai
+duckduckgo-search