| import gradio as gr |
| from gtts import gTTS |
| import pdfplumber |
| from pdf2image import convert_from_path |
| import pytesseract |
| import re |
| from pydub import AudioSegment |
|
|
| |
| def detect_lang(text): |
| if re.search(r'[\u0980-\u09FF]', text): |
| return "bn" |
| else: |
| return "en" |
|
|
| |
| def mixed_text_to_speech(text): |
| if not text or not text.strip(): |
| return None |
|
|
| |
| chunks = re.findall(r'[\u0980-\u09FF\s,.!?]+|[a-zA-Z0-9\s,.!?]+', text) |
|
|
| if not chunks: |
| return None |
|
|
| combined = AudioSegment.silent(duration=500) |
| for i, chunk in enumerate(chunks): |
| chunk = chunk.strip() |
| if not chunk: |
| continue |
| lang = detect_lang(chunk) |
| try: |
| tts = gTTS(text=chunk, lang=lang) |
| filename = f"chunk_{i}.mp3" |
| tts.save(filename) |
| audio = AudioSegment.from_file(filename, format="mp3") |
| combined += audio + AudioSegment.silent(duration=300) |
| except Exception as e: |
| print(f"Skipping chunk due to error: {chunk} | {e}") |
|
|
| output_path = "output.mp3" |
| combined.export(output_path, format="mp3") |
| return output_path |
|
|
| |
| def pdf_to_text(pdf_file): |
| text = "" |
| |
| try: |
| with pdfplumber.open(pdf_file.name) as pdf: |
| for page in pdf.pages: |
| page_text = page.extract_text() |
| if page_text: |
| text += page_text + "\n" |
| except: |
| pass |
|
|
| |
| if not text.strip(): |
| images = convert_from_path(pdf_file.name) |
| for img in images: |
| text += pytesseract.image_to_string(img, lang='ben+eng') + "\n" |
|
|
| return text |
|
|
| def pdf_to_speech(pdf_file): |
| if pdf_file is None: |
| return None |
|
|
| text = pdf_to_text(pdf_file) |
| if not text.strip(): |
| return None |
|
|
| return mixed_text_to_speech(text) |
|
|
| |
| with gr.Blocks() as demo: |
| gr.Markdown("## 🗣️ Mixed Language TTS (Bangla + English + PDF)") |
|
|
| with gr.Tab("🔤 Text to Speech"): |
| text_input = gr.Textbox(label="Enter Bangla + English text") |
| text_output = gr.Audio(label="Generated Voice", type="filepath") |
| text_btn = gr.Button("🎙️ Convert") |
| text_btn.click(fn=mixed_text_to_speech, inputs=text_input, outputs=text_output) |
|
|
| with gr.Tab("📘 PDF to Speech"): |
| pdf_input = gr.File(label="Upload PDF", file_types=[".pdf"]) |
| pdf_output = gr.Audio(label="Generated Voice", type="filepath") |
| pdf_btn = gr.Button("📖 Convert PDF") |
| pdf_btn.click(fn=pdf_to_speech, inputs=pdf_input, outputs=pdf_output) |
|
|
| demo.launch(show_error=True) |
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