import gradio as gr from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip # Function to generate audio from text (placeholder) def generate_audio(text, voice, rate, pitch): # This should generate the audio and return an AudioFileClip # Implement your audio generation logic here pass # Function to create video from text and background media def text_to_video(text, voice, rate, pitch, bg_media, video_width, video_height): # Generate the audio clip audio_clip = generate_audio(text, voice, rate, pitch) # Ensure this function is defined to generate audio # Determine the type of background media and create the appropriate clip if bg_media.endswith('.mp4'): bg_clip = VideoFileClip(bg_media).set_duration(audio_clip.duration) elif bg_media.endswith(('.jpg', '.png', '.jpeg')): bg_clip = ImageClip(bg_media).set_duration(audio_clip.duration) else: return None, "Unsupported media type." # Create a final video with audio final_video = bg_clip.set_audio(audio_clip) # Set the final output video file name output_file = "output_video.mp4" # Write the final video to a file final_video.write_videofile(output_file, codec='libx264') return output_file, None # Gradio interface def tts_interface(text, voice, rate, pitch, bg_media): video, warning = text_to_video(text, voice, rate, pitch, bg_media, None, None) if warning: return warning return video iface = gr.Interface( fn=tts_interface, inputs=[ gr.Textbox(label="Text"), gr.Dropdown(label="Voice", choices=["Voice 1", "Voice 2"]), # Update with actual voices gr.Slider(label="Rate", minimum=0.5, maximum=2.0, step=0.1, value=1.0), gr.Slider(label="Pitch", minimum=0, maximum=100, step=1, value=50), gr.File(label="Background Media (Image/Video)") ], outputs="file", title="Text to Video with Audio", description="Upload an image or video and generate a video with audio from text." ) iface.launch(share=True)