Create app.py

app.py

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+import gradio as gr
+from tts_module import text_to_speech  # Módulo para TTS
+from video_module import generate_video  # Módulo para generar video
+from music_module import adjust_background_music  # Módulo para manejar música
+
+def process_input(text, txt_file, mp3_file, prompt):
+    # Paso 1: Obtener el texto final
+    if text.strip():  # Prioridad al texto escrito directamente
+        final_text = text
+    elif txt_file is not None:  # Luego al archivo .txt
+        final_text = txt_file.decode("utf-8")
+    elif prompt.strip():  # Finalmente, usar el prompt para generar texto
+        # Aquí iría la llamada al modelo gpt2 para generar el guion
+        final_text = "Generated text from prompt"  # Placeholder
+    else:
+        return "No input provided", None
+
+    # Paso 2: Convertir texto a voz con edge_tts
+    audio_file = text_to_speech(final_text)
+
+    # Paso 3: Generar el video
+    video_file = generate_video(final_text)
+
+    # Paso 4: Ajustar la música de fondo
+    if mp3_file is not None:
+        music_clip = adjust_background_music(video_file.duration, mp3_file.name)
+    else:
+        music_clip = None
+
+    # Paso 5: Combinar todos los elementos
+    final_video = combine_audio_video(audio_file, video_file, music_clip)
+
+    return final_video
+
+# Interfaz Gradio
+with gr.Blocks() as demo:
+    gr.Markdown("# Text-to-Video Generator")
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(label="Write your text here", lines=5)
+            txt_file_input = gr.File(label="Or upload a .txt file", file_types=[".txt"])
+            mp3_file_input = gr.File(label="Upload background music (.mp3)", file_types=[".mp3"])
+            prompt_input = gr.Textbox(label="Or enter a prompt to generate text")
+        with gr.Column():
+            output_video = gr.Video(label="Generated Video")
+
+    btn = gr.Button("Generate Video")
+    btn.click(process_input, inputs=[text_input, txt_file_input, mp3_file_input, prompt_input], outputs=output_video)
+
+demo.launch()