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import gradio as gr
import json
import httpx
import os
import traceback
from dotenv import load_dotenv
from utils import format_timestamp, extract_video_id
# Load environment variables
load_dotenv()
# API URL for local development
API_URL = "http://127.0.0.1:8080/api"
# API URL for Hugging Face Spaces
# API_URL = "https://your-huggingface-space-url/api"
async def search_youtube(query, max_results, order, video_duration):
"""Function for searching videos on YouTube."""
try:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/search",
json={
"query": query,
"max_results": max_results,
"order": order,
"video_duration": video_duration if video_duration != "any" else None
}
)
data = response.json()
if "error" in data and data["error"]:
return f"Error: {data['error']}", None
results = data.get("content", [])
formatted_results = []
for video in results:
formatted_results.append(
f"**{video['title']}**\n"
f"ID: {video['video_id']}\n"
f"Channel: {video['channel_title']}\n"
f"Published: {video['published_at']}\n"
f"[Thumbnail]({video['thumbnail']})\n\n"
f"{video['description'][:200]}...\n\n"
f"---\n"
)
return "\n".join(formatted_results), json.dumps(results, indent=2, ensure_ascii=False)
except Exception as e:
return f"Error: {str(e)}", None
async def get_video_info(video_id):
"""Function for getting video information."""
try:
# No need to extract video ID here, it is done on the server
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/video_info",
json={"video_id": video_id}
)
data = response.json()
if "error" in data and data["error"]:
return f"Error: {data['error']}", None
video_info = data.get("content", {})
formatted_info = (
f"**{video_info.get('title')}**\n\n"
f"Channel: {video_info.get('channel_title')}\n"
f"Published: {video_info.get('published_at')}\n"
f"Views: {video_info.get('view_count')}\n"
f"Likes: {video_info.get('like_count')}\n"
f"Comments: {video_info.get('comment_count')}\n"
f"Duration: {video_info.get('duration')}\n\n"
f"**Description:**\n{video_info.get('description')}\n\n"
f"**Tags:**\n{', '.join(video_info.get('tags', []))}"
)
return formatted_info, json.dumps(video_info, indent=2, ensure_ascii=False)
except Exception as e:
return f"Error: {str(e)}", None
async def get_transcript(video_id, language_code):
"""Function for getting video transcript."""
try:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/transcript",
json={
"video_id": video_id,
"language_code": language_code if language_code else None
}
)
data = response.json()
if "error" in data and data["error"]:
return f"Error: {data['error']}", None
transcript = data.get("content", [])
formatted_transcript = ""
for entry in transcript:
start_time = entry.get("start", 0)
duration = entry.get("duration", 0)
end_time = start_time + duration
# Format time to hours:minutes:seconds format
start_formatted = format_timestamp(start_time)
end_formatted = format_timestamp(end_time)
formatted_transcript += f"[{start_formatted} - {end_formatted}] {entry.get('text', '')}\n\n"
return formatted_transcript, json.dumps(transcript, indent=2, ensure_ascii=False)
except Exception as e:
return f"Error: {str(e)}", None
async def get_available_languages(video_id):
"""Function for getting available transcript languages."""
try:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/transcript_languages",
json={"video_id": video_id}
)
data = response.json()
if "error" in data and data["error"]:
return f"Error: {data['error']}", None
languages = data.get("content", [])
formatted_languages = []
for lang in languages:
status = "Auto-generated" if lang.get("is_generated") else "Official subtitles"
translatable = "Translation available" if lang.get("is_translatable") else "Translation not available"
formatted_languages.append(
f"{lang.get('language')} ({lang.get('language_code')}): {status}, {translatable}"
)
return "\n".join(formatted_languages), json.dumps(languages, indent=2, ensure_ascii=False)
except Exception as e:
return f"Error: {str(e)}", None
async def generate_timecodes(video_id, language_code, segment_length, format_type):
"""Function for generating timecodes."""
try:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/timecodes",
json={
"video_id": video_id,
"language_code": language_code if language_code else None,
"segment_length": segment_length,
"format": format_type
}
)
data = response.json()
if "error" in data and data["error"]:
return f"Error: {data['error']}", None
timecodes = data.get("content", {}).get("timecodes", [])
if format_type == "youtube":
formatted_timecodes = "```\n" + "\n".join(timecodes) + "\n```"
elif format_type == "markdown":
formatted_timecodes = "\n".join(timecodes)
else:
formatted_timecodes = "```\n" + "\n".join(timecodes) + "\n```"
return formatted_timecodes, json.dumps(data.get("content", {}), indent=2, ensure_ascii=False)
except Exception as e:
return f"Error: {str(e)}", None
async def generate_gemini_timecodes(video_id, language_code, format_type, model):
"""Function for generating timecodes using Gemini."""
try:
print(f"Sending request to {API_URL}/gemini_timecodes")
print(f"Parameters: video_id={video_id}, language_code={language_code}, format={format_type}, model={model}")
# Send request to API
async with httpx.AsyncClient() as client:
response = await client.post(
f"{API_URL}/gemini_timecodes",
json={
"video_id": video_id,
"language_code": language_code,
"format": format_type,
"model": model
},
timeout=120 # Increase timeout for Gemini API
)
print(f"Response status: {response.status_code}")
# Parse response
data = response.json()
if "error" in data:
print(f"Error in API response: {data['error']}")
return f"⚠️ Error: {data['error']}", {"error": data['error']}
# Extract timecodes from response
content = data.get("content", {})
timecodes = content.get("timecodes", [])
print(f"Received {len(timecodes)} timecodes")
# Format timecodes for display
if timecodes:
timecodes_text = "\n".join(timecodes)
# Model and language information
model_info = content.get("model", "Unknown")
language_info = content.get("detected_language", "Unknown")
duration_info = content.get("video_duration_minutes", "Unknown")
summary = f"🤖 Model: {model_info}\n🗣️ Language: {language_info}\n⏱️ Duration: {duration_info} min\n📝 Timecodes: {len(timecodes)}"
return summary, content # Return content object instead of timecodes_text
else:
return "⚠️ No timecodes generated", {"message": "No timecodes generated"}
except Exception as e:
print(f"Exception during timecode generation: {str(e)}")
traceback.print_exc()
return f"Error: {str(e)}", {"error": str(e)}
# Create Gradio interface
with gr.Blocks(title="YouTube MCP") as demo:
gr.Markdown("# YouTube Model Context Protocol (MCP)")
gr.Markdown("This interface allows interaction with YouTube API through MCP protocol")
with gr.Tab("Video Search"):
with gr.Row():
with gr.Column():
search_query = gr.Textbox(label="Search Query", placeholder="Enter search query...")
with gr.Row():
max_results = gr.Slider(minimum=1, maximum=50, value=10, step=1, label="Number of Results")
order = gr.Dropdown(
choices=["relevance", "date", "viewCount", "rating", "title"],
value="relevance",
label="Sort By"
)
video_duration = gr.Dropdown(
choices=["any", "short", "medium", "long"],
value="any",
label="Duration"
)
search_button = gr.Button("Search")
with gr.Column():
search_results = gr.Markdown(label="Results")
search_json = gr.JSON(label="JSON Data")
search_button.click(
search_youtube,
inputs=[search_query, max_results, order, video_duration],
outputs=[search_results, search_json]
)
with gr.Tab("Video Information"):
with gr.Row():
with gr.Column():
video_id_input = gr.Textbox(
label="Video ID or URL",
placeholder="Enter video ID or full URL (youtube.com, youtu.be, shorts, embed)..."
)
get_info_button = gr.Button("Get Information")
with gr.Column():
video_info_output = gr.Markdown(label="Video Information")
video_info_json = gr.JSON(label="JSON Data")
get_info_button.click(
get_video_info,
inputs=[video_id_input],
outputs=[video_info_output, video_info_json]
)
with gr.Tab("Video Transcript"):
with gr.Row():
with gr.Column():
transcript_video_id = gr.Textbox(
label="Video ID or URL",
placeholder="Enter video ID or full URL (youtube.com, youtu.be, shorts, embed)..."
)
language_code = gr.Textbox(label="Language Code (optional)", placeholder="ru, en, etc...")
with gr.Row():
get_transcript_button = gr.Button("Get Transcript")
get_languages_button = gr.Button("Get Available Languages")
with gr.Column():
transcript_output = gr.Markdown(label="Transcript")
transcript_json = gr.JSON(label="JSON Data")
get_transcript_button.click(
get_transcript,
inputs=[transcript_video_id, language_code],
outputs=[transcript_output, transcript_json]
)
get_languages_button.click(
get_available_languages,
inputs=[transcript_video_id],
outputs=[transcript_output, transcript_json]
)
with gr.Tab("Timecodes"):
with gr.Row():
with gr.Column():
timecode_video_id = gr.Textbox(
label="Video ID or URL",
placeholder="Enter video ID or full URL (youtube.com, youtu.be, shorts, embed)..."
)
timecode_language = gr.Textbox(label="Language Code (optional)", placeholder="ru, en, etc...")
segment_length = gr.Slider(minimum=30, maximum=300, value=60, step=30, label="Segment Length (seconds)")
format_type = gr.Dropdown(
choices=["youtube", "markdown"],
value="youtube",
label="Timecode Format"
)
generate_timecodes_button = gr.Button("Generate Timecodes")
with gr.Column():
timecodes_output = gr.Markdown(label="Timecodes")
timecodes_json = gr.JSON(label="JSON Data")
generate_timecodes_button.click(
generate_timecodes,
inputs=[timecode_video_id, timecode_language, segment_length, format_type],
outputs=[timecodes_output, timecodes_json]
)
with gr.Tab("Gemini Timecodes"):
with gr.Row():
with gr.Column():
gemini_video_id = gr.Textbox(
label="Video ID or URL",
placeholder="Enter video ID or full URL (youtube.com, youtu.be, shorts, embed)..."
)
gemini_language = gr.Textbox(label="Language Code (optional)", placeholder="ru, en, etc...")
gemini_format = gr.Dropdown(
choices=["youtube", "markdown"],
value="youtube",
label="Timecode Format"
)
gemini_model = gr.Dropdown(
choices=["gemini-2.0-flash-001", "gemini-2.0-pro-001", "gemini-2.0-pro-vision-001"],
value="gemini-2.0-flash-001",
label="Gemini Model"
)
generate_gemini_button = gr.Button("Generate Timecodes with Gemini")
with gr.Column():
gemini_output = gr.Markdown(label="Generation Information")
gemini_timecodes = gr.Textbox(label="Timecodes", lines=10, max_lines=20, show_copy_button=True)
gemini_json = gr.JSON(label="JSON Data")
async def process_gemini_result(video_id, language_code, format_type, model):
result = await generate_gemini_timecodes(video_id, language_code, format_type, model)
if result is None:
return "Error occurred", "", {}
summary, json_data = result
# Extract timecodes from json_data
timecodes = json_data.get("timecodes", [])
timecodes_text = "\n".join(timecodes) if timecodes else "No timecodes generated"
return summary, timecodes_text, json_data
generate_gemini_button.click(
process_gemini_result,
inputs=[gemini_video_id, gemini_language, gemini_format, gemini_model],
outputs=[gemini_output, gemini_timecodes, gemini_json]
)
# Launch the application
if __name__ == "__main__":
demo.launch()
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