Delete app.py

app.py

@@ -1,84 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-from pydub import AudioSegment
-from docx import Document
-import fitz  # PyMuPDF
-import os
-import tempfile
-
-# Load Huggingface TTS pipeline
-tts = pipeline("text-to-speech", model="tts_en_cmu_us_slt")
-
-def extract_text_from_pdf(pdf_path):
-    """Extract text from a PDF file."""
-    pdf_document = fitz.open(pdf_path)
-    text = ""
-    for page_num in range(len(pdf_document)):
-        page = pdf_document[page_num]
-        text += page.get_text()
-    return text
-
-def extract_text_from_docx(docx_path):
-    """Extract text from a Word (.docx) file."""
-    doc = Document(docx_path)
-    text = [paragraph.text for paragraph in doc.paragraphs]
-    return "\n".join(text)
-
-def process_file(file):
-    """Process uploaded file and convert text to audio."""
-    file_extension = file.name.split('.')[-1].lower()
-    text = ""
-    
-    try:
-        # Save uploaded file temporarily
-        with tempfile.NamedTemporaryFile(delete=False) as temp_file:
-            temp_file.write(file.read())
-            temp_path = temp_file.name
-        
-        # Extract text based on file type
-        if file_extension == 'txt':
-            with open(temp_path, 'r') as f:
-                text = f.read()
-        elif file_extension == 'pdf':
-            text = extract_text_from_pdf(temp_path)
-        elif file_extension == 'docx':
-            text = extract_text_from_docx(temp_path)
-        else:
-            return "Unsupported file type!", None
-        
-        # Generate speech audio
-        audio_data = tts(text, return_tensors=True)
-        
-        # Save the audio as an MP3 file
-        output_path = os.path.join(tempfile.gettempdir(), "output.mp3")
-        audio_segment = AudioSegment.from_file(audio_data["waveform"], format="wav")
-        audio_segment.export(output_path, format="mp3")
-        
-        return "Text converted to audio successfully!", output_path
-    finally:
-        # Clean up temporary files
-        if os.path.exists(temp_path):
-            os.remove(temp_path)
-
-# Define Gradio interface
-def text_to_audio(file):
-    result_message, audio_file = process_file(file)
-    if audio_file:
-        return result_message, audio_file
-    else:
-        return result_message, None
-
-# Create Gradio interface
-interface = gr.Interface(
-    fn=text_to_audio,
-    inputs=gr.File(label="Upload your file (txt, pdf, or docx)"),
-    outputs=[
-        gr.Textbox(label="Result"),
-        gr.Audio(label="Generated Audio")
-    ],
-    title="Text-to-Audio Converter",
-    description="Upload a text, PDF, or Word file and convert its content to an audio file (American English). Download the audio after it's generated."
-)
-
-# Launch Gradio app
-interface.launch()