Update app.py

app.py

@@ -2,6 +2,8 @@ import gradio as gr
 from transformers import pipeline
 import subprocess
 import os
+import pyttsx3
+import shutil
 
 # === TEXT SCRIPT GENERATOR ===
 generator = pipeline("text-generation", model="gpt2")
@@ -10,12 +12,13 @@ def generate_script(prompt):
     result = generator(f"Scene: {prompt}\nDescription:", max_length=80, num_return_sequences=1)
     return result[0]["generated_text"]
 
-# === VOICE GENERATOR (CPU version using Bark) ===
+# === VOICE GENERATOR using pyttsx3 (Fast + CPU Friendly)
 def generate_voice(script):
-    with open("input.txt", "w") as f:
-        f.write(script)
-    os.system("python3 bark_infer_cpu.py --text_file input.txt --output bark_output.wav")
-    return "bark_output.wav"
+    engine = pyttsx3.init()
+    engine.setProperty('rate', 150)
+    engine.save_to_file(script, 'voice.wav')
+    engine.runAndWait()
+    return "voice.wav"
 
 # === BACKGROUND MUSIC MIXER ===
 def merge_voice_and_music(voice_path, music_path, output_path="final_audio.wav"):
@@ -31,12 +34,12 @@ def merge_voice_and_music(voice_path, music_path, output_path="final_audio.wav")
     subprocess.call(command)
     return output_path
 
-# === VIDEO GENERATOR ===
+# === DUMMY VIDEO GENERATOR (use uploaded sample)
 def generate_video(prompt):
-    os.system(f"python3 generate.py --prompt \"{prompt}\" --output modelscope_output.mp4")
+    shutil.copyfile("sample.mp4", "modelscope_output.mp4")
     return "modelscope_output.mp4"
 
-# === FINAL MERGE: AUDIO + VIDEO ===
+# === MERGE AUDIO + VIDEO ===
 def merge_audio_video(audio_path, video_path):
     output = "final_output.mp4"
     subprocess.call([
@@ -45,26 +48,26 @@ def merge_audio_video(audio_path, video_path):
     ])
     return output
 
-# === PIPELINE ===
+# === FULL PIPELINE ===
 def full_pipeline(prompt):
     script = generate_script(prompt)
     voice = generate_voice(script)
-    final_audio = merge_voice_and_music(voice, "bg_music.mp3")  # Replace with your background music file
+    final_audio = merge_voice_and_music(voice, "bg_music.mp3")
     video = generate_video(prompt)
     final_video = merge_audio_video(final_audio, video)
     return final_video, script
 
 # === UI ===
 with gr.Blocks() as demo:
-    gr.Markdown("# 🎬 Free Veo 3 Style AI Video Generator (with Background Music)")
-    gr.Markdown("Enter your scene. Get AI script + voice + music + video.")
+    gr.Markdown("# 🎬 Free AI Reels Generator (CPU Only Version)")
+    gr.Markdown("Script + Voice + Music + Video on 100% free CPU tier")
 
     with gr.Row():
-        input_prompt = gr.Textbox(label="🎤 Scene Prompt", placeholder="e.g. A monk walking through glowing forest in rain")
-        generate_btn = gr.Button("🎞️ Generate Video")
+        input_prompt = gr.Textbox(label="🎤 Scene Prompt", placeholder="e.g. A monk in the Himalayas walking through mist")
+        generate_btn = gr.Button("Generate Reel")
 
-    output_video = gr.Video(label="📽️ Final Video")
-    output_script = gr.Textbox(label="📝 AI Generated Script")
+    output_video = gr.Video(label="🎞️ Final Output")
+    output_script = gr.Textbox(label="📝 Script")
 
     generate_btn.click(fn=full_pipeline, inputs=input_prompt, outputs=[output_video, output_script])