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import streamlit as st
from youtube_transcript_api import YouTubeTranscriptApi
import re
from dotenv import load_dotenv
import os
import openai
import tempfile
from pydub import AudioSegment
import io
# Load environment variables
load_dotenv()
# Set up OpenAI API key
openai.api_key = os.getenv('OPENAI_API_KEY')
if not openai.api_key:
raise ValueError("API key is not set. Please check your .env file and ensure OPENAI_API_KEY is set.")
def convert_to_supported_format(file):
audio = AudioSegment.from_file(file)
buffer = io.BytesIO()
audio.export(buffer, format="mp3")
buffer.seek(0)
return buffer
def get_transcript(url):
try:
match = re.search(r"(?:v=|\/)([0-9A-Za-z_-]{11}).*", url)
if match:
video_id = match.group(1)
transcript = YouTubeTranscriptApi.get_transcript(video_id)
transcript_text = ' '.join([entry['text'] for entry in transcript])
return transcript_text
else:
return "No video ID found in URL."
except Exception as e:
return f"Error: {str(e)}"
def transcribe_audio(file):
file = convert_to_supported_format(file)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_file:
temp_file.write(file.getvalue())
temp_file_path = temp_file.name
try:
with open(temp_file_path, "rb") as audio_file:
transcript = openai.Audio.transcribe("whisper-1", audio_file)
return transcript["text"]
except Exception as e:
return f"Error in transcription: {str(e)}"
finally:
os.remove(temp_file_path)
def answer_question(transcript, question):
try:
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": f"Using the following transcript as context, please answer the question:\n\nTranscript:\n{transcript}\n\nQuestion:\n{question}"}
],
max_tokens=150
)
if response.choices and response.choices[0].message:
answer = response.choices[0].message.content.strip()
return answer
else:
return "No answer available."
except Exception as e:
return f"Error in answering question: {str(e)}"
def handle_query(transcript, question):
if "Error" in transcript:
return transcript
answer = answer_question(transcript, question)
return answer
st.title("Video/Audio Doubt Bot")
option = st.selectbox("Choose input type", ("YouTube URL", "Upload audio/video file"))
if option == "YouTube URL":
youtube_url = st.text_input("YouTube URL", placeholder="Enter YouTube URL here...")
if youtube_url:
transcript = get_transcript(youtube_url)
if "Error" in transcript:
st.write(transcript)
else:
st.write("Transcript successfully loaded.")
question = st.text_input("Ask a question about the video")
if st.button("Get Answer"):
answer = handle_query(transcript, question)
st.write("### Answer")
st.write(answer)
elif option == "Upload audio/video file":
uploaded_file = st.file_uploader("Choose an audio or video file", type=["mp3", "mp4", "wav"])
if uploaded_file is not None:
with st.spinner('Transcribing audio...'):
transcript = transcribe_audio(uploaded_file)
if "Error" in transcript:
st.write(transcript)
else:
st.write("File successfully transcribed.")
question = st.text_input("Ask a question about the audio/video")
if st.button("Get Answer"):
answer = handle_query(transcript, question)
st.write("### Answer")
st.write(answer) |