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import gradio as gr
import pandas as pd
from main import SoundgasmScraper
import time
# Initialize the scraper
scraper = SoundgasmScraper()
def search_soundgasm(query, max_results=10):
"""
Search for audio on Soundgasm and return results in a formatted way
"""
if not query.strip():
return "Please enter a search query.", None
try:
# Show loading message
results = scraper.search_audio(query, max_results=int(max_results))
if not results:
return "No results found. Try a different search term.", None
# Format results for display
formatted_results = []
for i, result in enumerate(results, 1):
formatted_result = f"""
### Result {i}: {result['audio_title'] or 'Untitled'}
**Username:** {result['username'] or 'Unknown'}
**Page URL:** [{result['url']}]({result['url']})
**Direct Audio URL:** {result['audio_url'] or 'Not found'}
**Description:** {result['description'][:200] + '...' if result['description'] and len(result['description']) > 200 else result['description'] or 'No description available'}
---
"""
formatted_results.append(formatted_result)
# Create a DataFrame for the table view
df_data = []
for result in results:
df_data.append({
'Title': result['audio_title'] or 'Untitled',
'Username': result['username'] or 'Unknown',
'Page URL': result['url'],
'Audio URL': result['audio_url'] or 'Not found',
'Description': (result['description'][:100] + '...' if result['description'] and len(result['description']) > 100 else result['description']) or 'No description'
})
df = pd.DataFrame(df_data)
return "\n".join(formatted_results), df
except Exception as e:
return f"Error occurred during search: {str(e)}", None
def search_by_user(username):
"""
Search for all audios by a specific username
"""
if not username.strip():
return "Please enter a username.", None
try:
results = scraper.search_by_username(username.strip())
if not results:
return f"No audios found for user '{username}' or user doesn't exist.", None
# Format results for display
formatted_results = []
for i, result in enumerate(results, 1):
formatted_result = f"""
### Audio {i}: {result['audio_title'] or 'Untitled'}
**Page URL:** [{result['url']}]({result['url']})
**Direct Audio URL:** {result['audio_url'] or 'Not found'}
**Description:** {result['description'][:200] + '...' if result['description'] and len(result['description']) > 200 else result['description'] or 'No description available'}
---
"""
formatted_results.append(formatted_result)
# Create a DataFrame for the table view
df_data = []
for result in results:
df_data.append({
'Title': result['audio_title'] or 'Untitled',
'Page URL': result['url'],
'Audio URL': result['audio_url'] or 'Not found',
'Description': (result['description'][:100] + '...' if result['description'] and len(result['description']) > 100 else result['description']) or 'No description'
})
df = pd.DataFrame(df_data)
return "\n".join(formatted_results), df
except Exception as e:
return f"Error occurred during user search: {str(e)}", None
# Create the Gradio interface
with gr.Blocks(title="Soundgasm Audio Search", theme=gr.themes.Base()) as app:
gr.Markdown("""
# 🎧 Soundgasm Audio Search
Search for audio content on Soundgasm.net and get direct links to the audio files.
**Features:**
- Search by keywords
- Search by username
- Get direct audio file URLs
- View audio descriptions and metadata
""")
with gr.Tabs():
# Search by keywords tab
with gr.TabItem("🔍 Search by Keywords"):
with gr.Row():
with gr.Column(scale=3):
search_input = gr.Textbox(
label="Search Query",
placeholder="Enter keywords (e.g., ASMR, relaxing, etc.)",
lines=1
)
with gr.Column(scale=1):
max_results_input = gr.Slider(
minimum=1,
maximum=20,
value=10,
step=1,
label="Max Results"
)
search_button = gr.Button("🔍 Search", variant="primary")
with gr.Row():
with gr.Column():
search_output = gr.Markdown(label="Search Results")
with gr.Column():
search_table = gr.Dataframe(
label="Results Table",
interactive=False,
wrap=True
)
# Search by username tab
with gr.TabItem("👤 Search by Username"):
username_input = gr.Textbox(
label="Username",
placeholder="Enter Soundgasm username",
lines=1
)
user_search_button = gr.Button("🔍 Search User", variant="primary")
with gr.Row():
with gr.Column():
user_output = gr.Markdown(label="User's Audios")
with gr.Column():
user_table = gr.Dataframe(
label="User's Audios Table",
interactive=False,
wrap=True
)
# Instructions
with gr.Accordion("📖 How to Use", open=False):
gr.Markdown("""
### Search by Keywords:
1. Enter keywords related to the audio you're looking for
2. Adjust the maximum number of results if needed
3. Click "Search" to find matching audios
### Search by Username:
1. Enter a Soundgasm username
2. Click "Search User" to see all audios from that user
### Results:
- **Page URL**: Link to the Soundgasm page
- **Audio URL**: Direct link to the audio file (m4a format)
- **Description**: Audio description if available
### Note:
- This tool searches using external search engines, so results may vary
- Some audio URLs might not be extractable due to page structure changes
- Always respect the content creators' rights and terms of service
""")
# Event handlers
search_button.click(
fn=search_soundgasm,
inputs=[search_input, max_results_input],
outputs=[search_output, search_table]
)
user_search_button.click(
fn=search_by_user,
inputs=[username_input],
outputs=[user_output, user_table]
)
# Allow Enter key to trigger search
search_input.submit(
fn=search_soundgasm,
inputs=[search_input, max_results_input],
outputs=[search_output, search_table]
)
username_input.submit(
fn=search_by_user,
inputs=[username_input],
outputs=[user_output, user_table]
)
# Launch the app
if __name__ == "__main__":
app.launch(
server_name="0.0.0.0",
server_port=7860,
share=False,
debug=True
)
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