Visual UI

app.py

@@ -2,16 +2,14 @@ import gradio as gr
 import whisper
 import os
 from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
-from docx import Document  # For Word output
-from fpdf import FPDF  # For PDF output
-from pptx import Presentation  # For PowerPoint output
-import subprocess  # To use ffmpeg for embedding subtitles
-import shlex  # For better command-line argument handling
-from docx.oxml.ns import qn
-from docx.oxml import OxmlElement
+from docx import Document
+from fpdf import FPDF
+from pptx import Presentation
+import subprocess
+import shlex
 
-# Load the Whisper model
-model = whisper.load_model("tiny")  # Smaller model for faster transcription
+# Load the Whisper model (smaller model for faster transcription)
+model = whisper.load_model("tiny")
 
 # Load M2M100 translation model for different languages
 def load_translation_model(target_language):
@@ -24,7 +22,6 @@ def load_translation_model(target_language):
     if not target_lang_code:
         raise ValueError(f"Translation model for {target_language} not supported")
 
-    # Load M2M100 model and tokenizer
     tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
     translation_model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
 
@@ -41,7 +38,7 @@ def translate_text(text, tokenizer, model):
     except Exception as e:
         raise RuntimeError(f"Error during translation: {e}")
 
-# Helper function to format timestamps in SRT format (hh:mm:ss,ms)
+# Helper function to format timestamps in SRT format
 def format_timestamp(seconds):
     milliseconds = int((seconds % 1) * 1000)
     seconds = int(seconds)
@@ -68,102 +65,66 @@ def write_srt(transcription, output_file, tokenizer=None, translation_model=None
             f.write(f"{start_time} --> {end_time}\n")
             f.write(f"{text.strip()}\n\n")
 
+# Embedding subtitles into video (hardsub)
 def embed_hardsub_in_video(video_file, srt_file, output_video):
-    """Uses ffmpeg to burn subtitles into the video (hardsub)."""
     command = f'ffmpeg -i "{video_file}" -vf "subtitles=\'{srt_file}\'" -c:v libx264 -crf 23 -preset medium "{output_video}"'
-    
     try:
-        print(f"Running command: {command}")  # Debug statement
         process = subprocess.run(shlex.split(command), capture_output=True, text=True, timeout=300)
-        print(f"ffmpeg output: {process.stdout}")  # Debug statement
         if process.returncode != 0:
-            raise RuntimeError(f"ffmpeg error: {process.stderr}")  # Print the error
+            raise RuntimeError(f"ffmpeg error: {process.stderr}")
     except subprocess.TimeoutExpired:
         raise RuntimeError("ffmpeg process timed out.")
     except Exception as e:
         raise RuntimeError(f"Error running ffmpeg: {e}")
 
-from docx.oxml.ns import qn
-from docx.oxml import OxmlElement
-
+# Helper function to write Word documents
 def write_word(transcription, output_file, tokenizer=None, translation_model=None, target_language=None):
-    """Creates a Word document from the transcription with support for RTL when translating to Persian."""
     doc = Document()
-    
-    # Check if the target language is Persian for RTL text direction
     rtl = target_language == "fa"
-    
     for i, segment in enumerate(transcription['segments']):
         text = segment['text']
-        
         if translation_model:
             text = translate_text(text, tokenizer, translation_model)
-
-        # Add a paragraph with the text
         para = doc.add_paragraph(f"{i + 1}. {text.strip()}")
-        
-        # If RTL is required, modify the paragraph's properties
         if rtl:
-            # Set the paragraph direction to RTL
-            para_format = para.paragraph_format
-            para_format.right_to_left = True
-            
-            # Set RTL for the text itself
-            run = para.runs[0]
-            run._element.rPr.append(OxmlElement('w:bidi'))
-
+            para.paragraph_format.right_to_left = True
     doc.save(output_file)
 
+# Helper function to reverse text for RTL
 def reverse_text_for_rtl(text):
-    # Reverse each word in the text to display it correctly in RTL
     return ' '.join([word[::-1] for word in text.split()])
 
+# Helper function to write PDF documents
 def write_pdf(transcription, output_file, tokenizer=None, translation_model=None):
-    """Creates a PDF document from the transcription without timestamps."""
     pdf = FPDF()
     pdf.add_page()
-    
-    # Set up the font for Farsi (Unicode-compliant)
-    font_path = "/home/user/app/B-NAZANIN.TTF"  # Ensure the correct path to the font file
+    font_path = "/home/user/app/B-NAZANIN.TTF"
     pdf.add_font('B-NAZANIN', '', font_path, uni=True)
     pdf.set_font('B-NAZANIN', size=12)
-
     for i, segment in enumerate(transcription['segments']):
         text = segment['text']
-        
         if translation_model:
             text = translate_text(text, tokenizer, translation_model)
-        
-        # Reverse the text for proper RTL display
         reversed_text = reverse_text_for_rtl(text)
-        
-        # Add the reversed text to the PDF, right-aligned for Farsi
         pdf.multi_cell(0, 10, f"{i + 1}. {reversed_text.strip()}", align='R')
-
     pdf.output(output_file)
 
+# Helper function to write PowerPoint slides
 def write_ppt(transcription, output_file, tokenizer=None, translation_model=None):
-    """Creates a PowerPoint presentation from the transcription without timestamps."""
     ppt = Presentation()
-    
     for i, segment in enumerate(transcription['segments']):
         text = segment['text']
-        
         if translation_model:
             text = translate_text(text, tokenizer, translation_model)
-        
-        slide = ppt.slides.add_slide(ppt.slide_layouts[5])  # Blank slide
+        slide = ppt.slides.add_slide(ppt.slide_layouts[5])
         title = slide.shapes.title
-        title.text = f"{i + 1}. {text.strip()}"  # No timestamps
-    
+        title.text = f"{i + 1}. {text.strip()}"
     ppt.save(output_file)
 
+# Transcribing video and generating output
 def transcribe_video(video_file, language, target_language, output_format):
-    # Transcribe the video with Whisper
     result = model.transcribe(video_file.name, language=language)
     video_name = os.path.splitext(video_file.name)[0]
-    
-    # Load the translation model for the selected subtitle language
     if target_language != "en":
         try:
             tokenizer, translation_model = load_translation_model(target_language)
@@ -172,11 +133,9 @@ def transcribe_video(video_file, language, target_language, output_format):
     else:
         tokenizer, translation_model = None, None
 
-    # Save the SRT file
     srt_file = f"{video_name}.srt"
     write_srt(result, srt_file, tokenizer, translation_model)
 
-    # Output based on user's selection
     if output_format == "SRT":
         return srt_file
     elif output_format == "Video with Hardsub":
@@ -199,18 +158,24 @@ def transcribe_video(video_file, language, target_language, output_format):
         write_ppt(result, ppt_file, tokenizer, translation_model)
         return ppt_file
 
-# Gradio interface
+# Gradio interface with better UI
 iface = gr.Interface(
     fn=transcribe_video,
     inputs=[
-        gr.File(label="Upload Video"),
-        gr.Dropdown(label="Select Video Language", choices=["en", "es", "fr", "de", "it", "pt"], value="en"),
-        gr.Dropdown(label="Select Subtitle Language", choices=["en", "fa", "es", "fr"], value="fa"),
-        gr.Radio(label="Output Format", choices=["SRT", "Video with Hardsub", "Word", "PDF", "PowerPoint"], value="Video with Hardsub")
+        gr.File(label="Upload Video File"),
+        gr.Dropdown(label="Select Original Video Language", choices=["en", "es", "fr", "de", "it", "pt"], value="en"),
+        gr.Dropdown(label="Select Subtitle Translation Language", choices=["en", "fa", "es", "fr"], value="fa"),
+        gr.Radio(label="Choose Output Format", choices=["SRT", "Video with Hardsub", "Word", "PDF", "PowerPoint"], value="Video with Hardsub")
     ],
-    outputs=gr.File(label="Download Subtitles, Video, or Document"),
-    title="Video Subtitle Generator with Hardsub and Document Formats",
-    description="Upload a video file to generate subtitles in SRT format, download the video with hardsubbed subtitles, or generate Word, PDF, or PowerPoint documents using Whisper and M2M100 for translation."
+    outputs=gr.File(label="Download File"),
+    title="Video Subtitle Generator with Translation & Multi-Format Output",
+    description=(
+        "This tool allows you to generate subtitles from a video file using Whisper, "
+        "translate the subtitles into multiple languages using M2M100, and export them "
+        "in various formats including SRT, hardcoded subtitles in video, Word, PDF, or PowerPoint."
+    ),
+    theme="compact",
+    live=False  # No live interaction needed
 )
 
 if __name__ == "__main__":