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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="(1f4f9_videocamera) ",
layout="wide"
)
st.title("Phidata Multimodal AI Summarizer Agent (1f4f9_videocamera) ")
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-exp"),
tools = [DuckDuckGo()],
markdown = True
)
# Initialize 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 information",
help="Provide specific question 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
analyses_prompt = (f"""
Analyze the uploaded video for content and context.
Respond the following query using the video insights and supplimentary web research
{user_query}
Provide a detailed, user-friendly and actionable response.
"""
)
#AI agent processing
response = multimodal_agent.run(analyses_prompt, video = [processed_video])
#Display the result
st.subheader("Analysis result")
st.markdown(response.content)
except Exception as error:
st.error(f"An error occured during analysis: {error}")
finally:
# Clean temporary file
Path(video_path).unlink(missing_ok=True)
else:
st.info("Upload a video file to begin analysis")
# Customize text are heihght
st.markdown(
"""
<style>
.stTextArea textarea {
height: 100px;
}
</style>
""",
unsafe_allow_html=True
) |