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Browse files- app.py +301 -0
- requirements.txt +15 -0
app.py
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import os
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import gradio as gr
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import tempfile
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from src.mainFunctions import process_video_file, process_audio_document, process_youtube_video
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from src.video_processing import extract_audio_from_video
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from src.documentProcessing import process_document
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ELEVENLABS_API_KEY = os.environ.get("ELEVENLABS_API_KEY", None)
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GOOGLE_API_KEY = os.environ.get('GOOGLE_API_KEY', None)
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with gr.Blocks(title="Document & Media Processing Tool") as app:
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gr.Markdown("# Document & Media Processor")
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gr.Markdown("Upload a document, video, audio, or provide a YouTube link to generate summaries and quizzes.")
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with gr.Row():
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with gr.Column():
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elevenlabs_api_key = gr.Textbox(
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placeholder="Enter your ElevenLabs API key",
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label="ElevenLabs API Key (for transcription)",
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type="password",
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value=ELEVENLABS_API_KEY
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)
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model_id = gr.Dropdown(
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choices=["scribe_v1"],
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value="scribe_v1",
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label="Transcription Model"
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)
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gemini_api_key = gr.Textbox(
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placeholder="Enter your Google Gemini API key",
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label="Google Gemini API Key",
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type="password",
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value=GOOGLE_API_KEY
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)
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with gr.Row():
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with gr.Column():
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language_selector = gr.Radio(
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choices=["Uzbek", "English", "Russian"],
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value="English",
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label="Content Language"
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)
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with gr.Tabs():
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with gr.TabItem("Upload Document"):
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with gr.Row():
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with gr.Column():
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document_input = gr.File(label="Upload Document", file_types=[".pdf", ".docx", ".txt"])
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with gr.Row():
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generate_summary_button = gr.Button("Generate Summary")
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generate_quiz_button = gr.Button("Generate Quiz")
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with gr.Column():
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document_status_output = gr.Textbox(label="Document Processing Status")
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document_text_file_output = gr.File(label="Extracted Text File")
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with gr.Row():
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with gr.Column():
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document_output = gr.Textbox(
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label="Generated Content",
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lines=15
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)
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with gr.Row():
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document_file_output = gr.File(label="Download Text File")
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document_json_file_output = gr.File(label="Download JSON File")
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# Video Upload Tab
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with gr.TabItem("Upload Video"):
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with gr.Row():
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with gr.Column():
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video_input = gr.Video(label="Upload Video")
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format_choice_file = gr.Radio(["mp3", "wav"], value="mp3", label="Audio Format")
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with gr.Row():
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video_summary_button = gr.Button("Generate Summary")
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video_quiz_button = gr.Button("Generate Quiz")
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with gr.Column():
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audio_output_file = gr.Audio(label="Extracted Audio", type="filepath")
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status_output_file = gr.Textbox(label="Audio Extraction Status")
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transcript_file_output = gr.File(label="Transcription Text File")
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transcript_status_output = gr.Textbox(label="Transcription Status")
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with gr.Row():
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with gr.Column():
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video_output = gr.Textbox(
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label="Generated Content",
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lines=15
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)
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with gr.Row():
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video_text_file_output = gr.File(label="Download Text File")
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video_json_file_output = gr.File(label="Download JSON File")
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# YouTube Tab
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with gr.TabItem("YouTube Video"):
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with gr.Row():
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with gr.Column():
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youtube_url = gr.Textbox(
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placeholder="Enter YouTube URL",
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label="YouTube URL"
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)
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yt_format_choice = gr.Radio(["mp3", "wav"], value="mp3", label="Audio Format")
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with gr.Row():
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youtube_summary_button = gr.Button("Generate Summary")
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youtube_quiz_button = gr.Button("Generate Quiz")
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with gr.Column():
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yt_audio_output = gr.Audio(label="Extracted Audio", type="filepath")
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yt_status_output = gr.Textbox(label="YouTube Processing Status")
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yt_transcript_file_output = gr.File(label="Transcription Text File")
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yt_transcript_status_output = gr.Textbox(label="Transcription Status")
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with gr.Row():
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with gr.Column():
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youtube_output = gr.Textbox(
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label="Generated Content",
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lines=15
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)
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with gr.Row():
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youtube_text_file_output = gr.File(label="Download Text File")
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youtube_json_file_output = gr.File(label="Download JSON File")
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# Audio Tab
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with gr.TabItem("Upload Audio"):
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with gr.Row():
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with gr.Column():
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audio_input = gr.Audio(label="Upload Audio", type="filepath")
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with gr.Row():
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audio_summary_button = gr.Button("Generate Summary")
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audio_quiz_button = gr.Button("Generate Quiz")
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with gr.Column():
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audio_status_output = gr.Textbox(label="Audio Processing Status")
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audio_transcript_file_output = gr.File(label="Transcription Text File")
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with gr.Row():
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with gr.Column():
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audio_output = gr.Textbox(
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label="Generated Content",
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lines=15
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)
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with gr.Row():
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audio_text_file_output = gr.File(label="Download Text File")
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audio_json_file_output = gr.File(label="Download JSON File")
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# Document processing
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generate_summary_button.click(
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fn=process_document,
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inputs=[
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document_input,
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gemini_api_key,
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language_selector,
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gr.State("summary")
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],
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outputs=[
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document_status_output,
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document_text_file_output,
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document_output,
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document_file_output,
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document_json_file_output
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]
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)
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generate_quiz_button.click(
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fn=process_document,
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inputs=[
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document_input,
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gemini_api_key,
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language_selector,
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160 |
+
gr.State("quiz")
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161 |
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],
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162 |
+
outputs=[
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document_status_output,
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document_text_file_output,
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document_output,
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document_file_output,
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document_json_file_output
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]
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)
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+
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171 |
+
# Video processing
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172 |
+
video_summary_button.click(
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173 |
+
fn=process_video_file,
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174 |
+
inputs=[
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+
video_input,
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176 |
+
format_choice_file,
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177 |
+
elevenlabs_api_key,
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178 |
+
model_id,
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179 |
+
gemini_api_key,
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180 |
+
language_selector,
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181 |
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gr.State("summary")
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182 |
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],
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183 |
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outputs=[
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184 |
+
audio_output_file,
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185 |
+
status_output_file,
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186 |
+
transcript_file_output,
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187 |
+
transcript_status_output,
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188 |
+
video_output,
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189 |
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video_text_file_output,
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190 |
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video_json_file_output
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191 |
+
]
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192 |
+
)
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193 |
+
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194 |
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video_quiz_button.click(
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195 |
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fn=process_video_file,
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196 |
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inputs=[
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+
video_input,
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198 |
+
format_choice_file,
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+
elevenlabs_api_key,
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+
model_id,
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+
gemini_api_key,
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202 |
+
language_selector,
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203 |
+
gr.State("quiz")
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204 |
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],
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205 |
+
outputs=[
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+
audio_output_file,
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207 |
+
status_output_file,
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208 |
+
transcript_file_output,
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209 |
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transcript_status_output,
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+
video_output,
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+
video_text_file_output,
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212 |
+
video_json_file_output
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213 |
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]
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)
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+
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216 |
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# YouTube processing
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217 |
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youtube_summary_button.click(
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218 |
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fn=process_youtube_video,
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inputs=[
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youtube_url,
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yt_format_choice,
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+
elevenlabs_api_key,
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+
model_id,
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+
gemini_api_key,
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language_selector,
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gr.State("summary")
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],
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outputs=[
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+
yt_audio_output,
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yt_status_output,
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yt_transcript_file_output,
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+
yt_transcript_status_output,
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+
youtube_output,
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youtube_text_file_output,
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youtube_json_file_output
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]
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)
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+
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youtube_quiz_button.click(
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fn=process_youtube_video,
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inputs=[
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youtube_url,
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+
yt_format_choice,
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+
elevenlabs_api_key,
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model_id,
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+
gemini_api_key,
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language_selector,
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gr.State("quiz")
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249 |
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],
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outputs=[
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yt_audio_output,
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yt_status_output,
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yt_transcript_file_output,
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yt_transcript_status_output,
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youtube_output,
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youtube_text_file_output,
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youtube_json_file_output
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]
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)
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+
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# Audio processing
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audio_summary_button.click(
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fn=process_audio_document,
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inputs=[
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audio_input,
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elevenlabs_api_key,
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model_id,
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+
gemini_api_key,
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+
language_selector,
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gr.State("summary")
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271 |
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],
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outputs=[
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audio_status_output,
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audio_transcript_file_output,
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audio_output,
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audio_text_file_output,
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audio_json_file_output
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+
]
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)
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+
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audio_quiz_button.click(
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fn=process_audio_document,
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inputs=[
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+
audio_input,
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+
elevenlabs_api_key,
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+
model_id,
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+
gemini_api_key,
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+
language_selector,
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+
gr.State("quiz")
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+
],
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outputs=[
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+
audio_status_output,
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+
audio_transcript_file_output,
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+
audio_output,
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+
audio_text_file_output,
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296 |
+
audio_json_file_output
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+
]
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)
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+
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if __name__ == "__main__":
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app.launch(share=True, debug=True)
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requirements.txt
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+
gradio
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uuid
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+
yt-dlp
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python-dotenv
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requests
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sentence-transformers
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+
langchain-google-genai
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+
anthropic
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pydantic
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transformers==4.50.3
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langchain-openai
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PyMuPDF
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python-docx
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pytube
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PyPDF2
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