app.py

import os
import requests
import textwrap
from moviepy.editor import *
from gtts import gTTS
import gradio as gr
from transformers import pipeline
from tempfile import NamedTemporaryFile
from PIL import Image
from io import BytesIO

# Single Unsplash image for speed
UNSPLASH_IMAGE = "https://images.unsplash.com/photo-1603398938378-7c6a282eb53b"

# Lightweight text generation model
generator = pipeline("text-generation", model="tiiuae/falcon-rw-1b")

# Generate remedy script
def generate_script(topic):
    prompt = f"Suggest a short 30-second natural home remedy for {topic}."
    response = generator(prompt, max_new_tokens=60)
    return response[0]["generated_text"].strip()

# Generate voice using gTTS
def generate_voice(text, lang="en"):
    tts = gTTS(text=text, lang=lang)
    temp_audio = NamedTemporaryFile(delete=False, suffix=".mp3")
    tts.save(temp_audio.name)
    return temp_audio.name

# Download one image
def download_image():
    response = requests.get(UNSPLASH_IMAGE)
    img = Image.open(BytesIO(response.content))
    path = "image.jpg"
    img.save(path)
    return path

# Generate subtitle
def create_subtitle(text, duration, size):
    wrapped = textwrap.fill(text, width=50)
    txt_clip = TextClip(wrapped, fontsize=24, color='white', bg_color='black', size=(size[0], 80))
    return txt_clip.set_duration(duration).set_position(("center", size[1] - 100))

# Generate video
def create_video(topic, script, audio_path, image_file):
    audio_clip = AudioFileClip(audio_path)
    duration = audio_clip.duration

    img_clip = ImageClip(image_file).set_duration(duration).resize(height=480)
    subtitle = create_subtitle(script, duration, img_clip.size)
    
    video = CompositeVideoClip([img_clip.set_audio(audio_clip), subtitle])
    output_path = f"/tmp/{topic.replace(' ', '_')}_video.mp4"
    video.write_videofile(output_path, fps=15, codec="libx264", audio_codec="aac")
    return output_path

# Main function for Gradio
def generate_remedy(topic, language):
    script = generate_script(topic)
    lang_code = "ur" if language == "Urdu" else "en"
    audio = generate_voice(script, lang=lang_code)
    image = download_image()
    video = create_video(topic, script, audio, image)
    return video, script

# Gradio interface
iface = gr.Interface(
    fn=generate_remedy,
    inputs=[
        gr.Textbox(label="Enter medical condition (e.g., cough, headache)"),
        gr.Radio(["English", "Urdu"], label="Narration Language")
    ],
    outputs=[
        gr.Video(label="Generated Remedy Video"),
        gr.Textbox(label="Remedy Script")
    ],
    title="RemedyReels (Fast Mode)",
    description="Quick AI home remedy video generator with voice-over, subtitles, and Unsplash image."
)

iface.launch()