app.py

import os
import random
import gradio as gr
from groq import Groq
from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip

client = Groq(
    api_key=os.environ.get("Groq_Api_Key")
)

def create_history_messages(history):
    history_messages = [{"role": "user", "content": m[0]} for m in history]
    history_messages.extend([{"role": "assistant", "content": m[1]} for m in history])
    return history_messages

def generate_response(prompt, history, model, temperature, max_tokens, top_p, seed):
    messages = create_history_messages(history)
    messages.append({"role": "user", "content": prompt})

    if seed == 0:
        seed = random.randint(1, 100000)

    stream = client.chat.completions.create(
        messages=messages,
        model=model,
        temperature=temperature,
        max_tokens=max_tokens,
        top_p=top_p,
        seed=seed,
        stop=None,
        stream=True,
    )

    response = ""
    for chunk in stream:
        delta_content = chunk.choices[0].delta.content
        if delta_content is not None:
            response += delta_content
            yield response

    return response

def process_video(text):
    video_folder = "videos"
    video_files = [os.path.join(video_folder, f) for f in os.listdir(video_folder) if f.endswith(('mp4', 'mov', 'avi', 'mkv'))]
    if not video_files:
        raise FileNotFoundError("No video files found in the specified directory.")

    selected_video = random.choice(video_files)
    video = VideoFileClip(selected_video)
    start_time = random.uniform(0, max(0, video.duration - 60))
    video = video.subclip(start_time, min(start_time + 60, video.duration))
    video = video.resize(height=1920).crop(x1=video.w // 2 - 540, x2=video.w // 2 + 540)

    text_lines = text.split()
    text = "\n".join([" ".join(text_lines[i:i+8]) for i in range(0, len(text_lines), 8)])
    
    text_clip = TextClip(text, fontsize=70, color='white', size=video.size, method='caption')
    text_clip = text_clip.set_position('center').set_duration(video.duration)

    final = CompositeVideoClip([video, text_clip])

    output_path = "output.mp4"
    final.write_videofile(output_path, codec="libx264")

    return output_path

additional_inputs = [
    gr.Dropdown(choices=["llama3-70b-8192", "llama3-8b-8192", "mixtral-8x7b-32768", "gemma-7b-it"], value="llama3-70b-8192", label="Model"),
    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Temperature", info="Controls diversity of the generated text. Lower is more deterministic, higher is more creative."),
    gr.Slider(minimum=1, maximum=32192, step=1, value=4096, label="Max Tokens", info="The maximum number of tokens that the model can process in a single response.<br>Maximums: 8k for gemma 7b, llama 7b & 70b, 32k for mixtral 8x7b."),
    gr.Slider(minimum=0.0, maximum=1.0, step=0.01, value=0.5, label="Top P", info="A method of text generation where a model will only consider the most probable next tokens that make up the probability p."),
    gr.Number(precision=0, value=42, label="Seed", info="A starting point to initiate generation, use 0 for random")
]

def chat_interface():
    return gr.Interface(
        fn=generate_response,
        inputs=[
            gr.Textbox(label="Prompt"),
            gr.Textbox(label="History", type="text"),  # Assuming history is provided as text
            gr.Textbox(label="Model"),
            gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Temperature"),
            gr.Slider(minimum=1, maximum=32192, step=1, label="Max Tokens"),
            gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Top P"),
            gr.Number(precision=0, label="Seed")
        ],
        outputs=gr.Textbox(label="Response"),
        title="YTSHorts Maker - Chat Interface",
        description="Powered by GROQ.",
        additional_inputs=additional_inputs,
        live=True  # Enable live updates for the chat interface
    )

def process_video_interface():
    text_input = gr.Textbox(lines=5, label="Text (8 words max per line)")
    video_output = gr.Video(label="Processed Video")

    def process_video_callback(text):
        output_path = process_video(text)
        return output_path  # Return the output path directly

    return gr.Interface(
        fn=process_video_callback,
        inputs=text_input,
        outputs=video_output,
        title="YTSHorts Maker - Video Processing",
        description="Select a video file from 'videos' folder, add text, and process.",
    )

demo = gr.Interface(
    fn=None,  # No main function needed for multi-interface setup
    interfaces=[chat_interface(), process_video_interface()],
    title="YTSHorts Maker",
    description="Powered by GROQ, MoviePy, and other tools.",
    theme="soft",
)

demo.launch()