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import streamlit as st
from dotenv import load_dotenv
import os
import google.generativeai as genai
from textblob import TextBlob
from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.formatters import JSONFormatter
load_dotenv() # Load all the environment variables
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
prompt = """**You are a YouTube video summarizer.** You will be taking the transcript text
and summarizing the entire video and providing the important summary in points
within 1500 words.The Summary Should Be As detailed As Possible . Please provide the summary of the text given here: """
# Function to extract transcript data from YouTube videos
def extract_transcript_details(youtube_video_url):
try:
video_id = youtube_video_url.split("=")[1]
transcript_text = YouTubeTranscriptApi.get_transcript(video_id)
transcript = ""
for i in transcript_text:
transcript += " " + i["text"]
return transcript
except Exception as e:
raise e
# Function to generate summary based on prompt using Google Gemini Pro
def generate_gemini_content(transcript_text, prompt, max_length):
model = genai.GenerativeModel("gemini-pro")
response = model.generate_content(prompt + transcript_text)
summary = response.text
# Split the summary into words and limit the length
words = summary.split()
if len(words) > max_length:
summary = ' '.join(words[:max_length])
return summary
# Function to analyze sentiment of text and provide explanation
def analyze_sentiment_with_explanation(text):
blob = TextBlob(text)
sentiment_score = blob.sentiment.polarity
if sentiment_score > 0:
sentiment = "Positive"
explanation = "The sentiment is positive because the text contains predominantly positive language."
elif sentiment_score == 0:
sentiment = "Neutral"
explanation = "The sentiment is neutral as there is an equal balance of positive and negative language."
else:
sentiment = "Negative"
explanation = "The sentiment is negative because the text contains predominantly negative language."
return sentiment, explanation
# Streamlit app
st.set_page_config(page_title="YouTube Summarizer and Sentiment Analyzer", page_icon=":clapper:", layout="wide")
st.title("π₯ YouTube Sentiment Analyzer")
st.sidebar.header("Options")
youtube_link = st.sidebar.text_input("Enter YouTube Video Link:")
action = st.sidebar.selectbox("Select Action:", ["Choose", "Get Detailed Summary", "Analyze Sentiment"])
if action == "Get Detailed Summary":
max_length = st.sidebar.slider("Select Maximum Summary Length (words)", min_value=50, max_value=1500, value=400)
if st.sidebar.button("π Perform Action"):
if action == "Get Detailed Summary":
transcript_text = extract_transcript_details(youtube_link)
if transcript_text:
summary = generate_gemini_content(transcript_text, prompt, max_length)
st.markdown("## Detailed Summary:")
st.write(summary)
elif action == "Analyze Sentiment":
transcript_text = extract_transcript_details(youtube_link)
if transcript_text:
sentiment, explanation = analyze_sentiment_with_explanation(transcript_text)
st.markdown("## Sentiment Analysis:")
st.markdown(f"The sentiment of the video is: **{sentiment}**")
# Display explanation
st.markdown("### Explanation:")
st.write(explanation)
# Adjust appearance based on sentiment
if sentiment == "Positive":
st.write(f"The sentiment of the video is: {sentiment}", unsafe_allow_html=True)
st.write('<p style="font-size: large; color: green;">The sentiment of the video is positive!</p>', unsafe_allow_html=True)
elif sentiment == "Negative":
st.write(f"The sentiment of the video is: {sentiment}", unsafe_allow_html=True)
st.write('<p style="font-size: large; color: red;">The sentiment of the video is negative!</p>', unsafe_allow_html=True)
# Show YouTube video thumbnail if link provided and action is not sentiment analysis
if youtube_link and action != "Analyze Sentiment":
video_id = youtube_link.split("=")[1]
st.image(f"http://img.youtube.com/vi/{video_id}/0.jpg", use_column_width=True)
else:
# Stretched GIF
st.markdown('<div style="font-family:Arial; text-align:center;"><iframe allow="fullscreen" frameBorder="0" height="400" src="https://giphy.com/embed/SNHd3FpcOrPHoBHtLD/video" width="800"></iframe></div>', unsafe_allow_html=True)
# Footer
footer_with_image_light_blue = """
<style>
.footer {
background-color: #E0F2F1;
padding: 20px;
border-radius: 10px;
text-align: center;
animation: fadeIn 1s;
}
.footer img {
max-width: 100%;
border-radius: 10px;
margin-top: 10px;
}
.footer .line {
height: 1px;
background-color: #B2DFDB;
margin: 10px 0;
}
.footer .connect-text {
color: #004D40;
font-weight: bold;
margin-bottom: 10px;
}
.footer a {
margin: 0 10px;
}
.footer .powered-by {
color: #004D40;
font-size: 14px;
margin-top: 10px;
}
.bright-text {
color: #004D40;
}
/* Add Animation */
@keyframes fadeIn {
from { opacity: 0; }
to { opacity: 1; }
}
.chat-message {
animation: fadeIn 0.5s ease-out;
}
</style>
<div class="footer">
<div class="line"></div>
<div class="connect-text">Connect with me at</div>
<a href="https://github.com/FasilHameed" target="_blank"><img src="https://img.icons8.com/plasticine/30/000000/github.png" alt="GitHub"></a>
<a href="https://www.linkedin.com/in/faisal--hameed/" target="_blank"><img src="https://img.icons8.com/plasticine/30/000000/linkedin.png" alt="LinkedIn"></a>
<a href="tel:+917006862681"><img src="https://img.icons8.com/plasticine/30/000000/phone.png" alt="Phone"></a>
<a href="mailto:faisalhameed763@gmail.com"><img src="https://img.icons8.com/plasticine/30/000000/gmail.png" alt="Gmail"></a>
<div class="line"></div>
<div class="powered-by">Powered By <img src="https://img.icons8.com/clouds/30/000000/gemini.png" alt="Gemini"> Gemini π« and Streamlit π</div>
</div>
"""
# Render Footer
st.markdown(footer_with_image_light_blue, unsafe_allow_html=True)
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