app.py

import assemblyai as aai
import gradio as gr
import os
import subprocess
import uuid
from google import genai
from dotenv import load_dotenv

load_dotenv()

client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))


aai.settings.api_key = os.getenv("ASSEMBLYAI_API_KEY")



def _extract_audio_to_mp3(video_file: str) -> str:
    """Extract audio from an mp4 video file to a uniquely named mp3 file using ffmpeg."""
    unique_id = uuid.uuid4().hex
    mp3_file = f"audio_{unique_id}.mp3"
    command = [
        "ffmpeg",
        "-i", video_file,
        "-vn",
        "-acodec", "libmp3lame",
        "-y",
        mp3_file
    ]
    subprocess.run(command, check=True)
    return mp3_file


def get_transcript(video_file: str) -> str:
    """Get a transcript of a video file using assembly ai API.
    Arguments:
        video_file: str - The path to the video file to transcribe.
    Returns:
        transcript: str - The transcript of the video file.
    """
    try:
        audio_file = _extract_audio_to_mp3(video_file)
        config = aai.TranscriptionConfig(speech_model=aai.SpeechModel.best)
        transcript = aai.Transcriber(config=config).transcribe(audio_file)
        return transcript.text or "Could not transcribe video."
    except Exception as e:
        raise gr.Error(f"Error transcribing video: {e}")

transcript_iface = gr.Interface(fn=get_transcript, inputs=gr.Video(),
                                outputs="text")


def get_initial_post(transcript: str) -> str:
    """Given a video transcript, draft an engaging social media post
    Arguments:
        transcript: The transcript of the video
    Returns:
        Social Media Post
    
    """

    response = client.models.generate_content(
        model="gemini-2.5-flash",
        contents=f"""
        You are an expert social media copywriter.
        You are given a transcript of a video and you need to write a post for social media.
        The post should be 280 characters or less so that it can be posted on Twitter without being truncated in the preview.
        The post should include a catchy title that will grab the viewer's attention.
        After the title, include some bullet points that will help the viewer understand the main points of the video.
        Here is the transcript of a video:
        {transcript}
        """,
    )

    return response.text or "Could not generate post."


post_iface = gr.Interface(fn=get_initial_post, inputs=gr.Textbox(),
                          outputs=gr.Textbox())


iface = gr.TabbedInterface([transcript_iface, post_iface], ["Transcript", "Post"])


if __name__ == "__main__":
    iface.launch(mcp_server=True)