add code

app.py

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+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:
+
+    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()

requirements.txt

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+assemblyai
+google-genai
+gradio
+python-dotenv