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| import gradio as gr | |
| import pytube as pt | |
| from transformers import pipeline | |
| import os | |
| from huggingface_hub import HfFolder | |
| from gtts import gTTS | |
| from fpdf import FPDF | |
| from pdfminer.high_level import extract_text | |
| # Initialize pipelines for transcription, summarization, and translation | |
| transcription_pipe = pipeline(model="SaladSlayer00/another_local", token=HfFolder.get_token()) | |
| summarizer = pipeline("summarization", model="it5/it5-efficient-small-el32-news-summarization") | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-it-en") | |
| def process_audio(file_path): | |
| text = transcription_pipe(file_path)["text"] | |
| summary = summarizer(text, min_length=25, max_length=50)[0]["summary_text"] | |
| translation = translator(text)[0]["translation_text"] | |
| return text, summary, translation | |
| def download_youtube_audio(yt_url): | |
| yt = pt.YouTube(yt_url) | |
| stream = yt.streams.filter(only_audio=True).first() | |
| file_path = stream.download(filename="temp_audio.mp3") | |
| return file_path | |
| def youtube_transcription(yt_url): | |
| audio_path = download_youtube_audio(yt_url) | |
| results = process_audio(audio_path) | |
| os.remove(audio_path) # Clean up the downloaded file | |
| return results | |
| def transcribe_and_process(rec=None, file=None): | |
| if rec is not None: | |
| audio = rec | |
| elif file is not None: | |
| audio = file | |
| else: | |
| return "Provide a recording or a file." | |
| return process_audio(audio) | |
| def save_text_to_pdf(text, filename="output.pdf"): | |
| # Create instance of FPDF class | |
| pdf = FPDF() | |
| # Add a page | |
| pdf.add_page() | |
| # Set font: Arial, bold, 12 | |
| pdf.set_font("Arial", size=12) | |
| # Add a cell | |
| pdf.multi_cell(0, 10, text) | |
| # Save the pdf with name .pdf | |
| pdf.output(filename) | |
| return filename | |
| def pdf_to_text(file_path): | |
| text = extract_text(file_path) | |
| audio_file = "tts_audio.wav" | |
| myobj = gTTS(text=text, lang='en', slow=False) | |
| myobj.save(audio_file) | |
| return audio_file | |
| def audio_to_pdf(file_path): | |
| text, summary, translation = process_audio(file_path) | |
| pdf_file = save_text_to_pdf(translation) | |
| tts_audio_file = pdf_to_text(pdf_file) # Generate TTS audio from the PDF | |
| return translation, pdf_file, tts_audio_file | |
| def pdf_to_audio(file_path): | |
| text = extract_text(file_path) | |
| myobj = gTTS(text=text, lang='en', slow=False) | |
| audio_file = "output_audio.wav" | |
| myobj.save(audio_file) | |
| return audio_file | |
| app = gr.Blocks() | |
| with app: | |
| gr.Markdown("### Whisper Small Italian Transcription, Summarization, and Translation") | |
| gr.Markdown("Talk, upload an audio file or enter a YouTube URL for processing.") | |
| with gr.Tab("Audio Processing"): | |
| with gr.Row(): | |
| audio_input = gr.Audio(label="Upload Audio or Record", type="filepath") | |
| audio_process_button = gr.Button("Process Audio") | |
| audio_transcription, audio_summary, audio_translation = gr.Textbox(label="Transcription"), gr.Textbox(label="Summary"), gr.Textbox(label="Translation") | |
| audio_process_button.click(fn=transcribe_and_process, inputs=audio_input, outputs=[audio_transcription, audio_summary, audio_translation]) | |
| with gr.Tab("YouTube Processing"): | |
| with gr.Row(): | |
| yt_input = gr.Textbox(label="YouTube URL") | |
| yt_process_button = gr.Button("Process YouTube Video") | |
| yt_transcription, yt_summary, yt_translation = gr.Textbox(label="Transcription"), gr.Textbox(label="Summary"), gr.Textbox(label="Translation") | |
| yt_process_button.click(fn=youtube_transcription, inputs=yt_input, outputs=[yt_transcription, yt_summary, yt_translation]) | |
| with gr.Tab("Italian Audio to English PDF"): | |
| with gr.Row(): | |
| audio_input = gr.Audio(label="Upload Italian Audio", type="filepath") | |
| translate_process_button = gr.Button("Translate and Save as PDF") | |
| translation_textbox, pdf_download, tts_audio = gr.Textbox(label="Translation"), gr.File(label="Download PDF"), gr.Audio(label="TTS Audio") | |
| translate_process_button.click(fn=audio_to_pdf, inputs=audio_input, outputs=[translation_textbox, pdf_download, tts_audio]) | |
| (app.launch()) | |