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silent-utils-api

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Fdgg55 commited on Feb 23

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32bd7de

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1 Parent(s): 7e33cec

Update app.py

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app.py +79 -27

app.py CHANGED Viewed

@@ -1,6 +1,5 @@
 from fastapi import FastAPI, UploadFile, File, HTTPException
 from fastapi.responses import Response, HTMLResponse
-from fastapi.openapi.docs import get_swagger_ui_html
 import yt_dlp
 import whisper
 import tempfile
@@ -8,20 +7,17 @@ import os
 import io
 from diffusers import StableDiffusionPipeline
-# --- 1. BEAUTIFUL API METADATA ---
 api_description = """
-<div style="text-align: center; margin-top: 20px;">
-    <img src="https://i.ibb.co/C5nyyyXH/cccfe44a8d63663a60eed6f0300a8b44.jpg" width="150" style="border-radius: 15px; box-shadow: 0 4px 8px rgba(0,0,0,0.5);">
-    <h2>Welcome to the Silent Tech Utility Engine</h2>
 </div>
-This is the **Private Backend API** for the Silent Bot network.
-It is completely independent, uncensored, and runs on a dedicated 16GB RAM Linux container.
-### 🚀 Available Microservices
-* **Media Downloader:** Bypass website protections to get direct MP4/MP3 links.
-* **Voice AI:** Local voice-to-text transcription using OpenAI's Whisper.
-* **Image Studio:** Uncensored Text-to-Image generation using Stable Diffusion.
 """
 tags_metadata = [
@@ -32,24 +28,81 @@ tags_metadata = [
 ]
 app = FastAPI(
-    title="🌟 Silent Tech Private API",
     description=api_description,
     version="2.0.0",
     openapi_tags=tags_metadata,
-    docs_url=None, # Disable the ugly default docs
     redoc_url=None
 )
-# --- 2. DARK MODE CUSTOM DOCS ---
 @app.get("/docs", include_in_schema=False)
-async def custom_swagger_ui_html():
-    return get_swagger_ui_html(
-        openapi_url=app.openapi_url,
-        title="Silent Tech API - Docs",
-        swagger_favicon_url="https://i.ibb.co/C5nyyyXH/cccfe44a8d63663a60eed6f0300a8b44.jpg",
-        # Injecting a sleek hacker dark mode theme!
-        swagger_css_url="https://cdn.jsdelivr.net/gh/Itz-fork/Swagger-Dark-Theme@main/SwaggerDark.css"
-    )
 # --- 3. LOAD AI MODELS ---
 print("Loading Whisper Voice AI...")
@@ -59,6 +112,7 @@ print("Loading Uncensored Image AI...")
 image_model = StableDiffusionPipeline.from_pretrained("prompthero/openjourney", safety_checker=None)
 image_model.to("cpu")
 # --- 4. API ENDPOINTS ---
 @app.get("/", tags=["System"])
 def read_root():
@@ -74,14 +128,13 @@ def download_media(url: str):
         'quiet': True,
         'no_warnings': True,
         'skip_download': True,
-        'nocheckcertificate': True # Fixes strict SSL blocks
     }
     try:
         with yt_dlp.YoutubeDL(ydl_opts) as ydl:
             info = ydl.extract_info(clean_url, download=False)
-            # If the user accidentally links a playlist, grab the first video
             if 'entries' in info:
                 info = info['entries'][0]
@@ -118,7 +171,6 @@ async def transcribe_audio(file: UploadFile = File(...)):
 def generate_image(prompt: str):
     """Generates an uncensored image and returns it directly as a PNG."""
     try:
-        # Optimized for fast CPU generation
         image = image_model(prompt, num_inference_steps=8, height=384, width=384).images[0]
         img_bytes = io.BytesIO()

 from fastapi import FastAPI, UploadFile, File, HTTPException
 from fastapi.responses import Response, HTMLResponse
 import yt_dlp
 import whisper
 import tempfile
 import io
 from diffusers import StableDiffusionPipeline
+# --- 1. METADATA ---
 api_description = """
+<div style="text-align: center; margin-top: 20px; border-bottom: 1px solid #333; padding-bottom: 20px;">
+    <img src="https://i.ibb.co/C5nyyyXH/cccfe44a8d63663a60eed6f0300a8b44.jpg" width="150" style="border-radius: 15px; box-shadow: 0 0 20px rgba(0, 255, 204, 0.6); border: 2px solid #00ffcc;">
+    <h2 style="color: #00ffcc; text-shadow: 0 0 10px #00ffcc; margin-top: 15px; font-family: monospace;">SILENT TECH UTILITY ENGINE</h2>
+</div>
+<br>
+<div style="color: #a0aec0; font-size: 15px; text-align: center;">
+    This is the <b>Private Backend API</b> for the Silent Bot network.<br>
+    Completely independent, uncensored, and running on a dedicated 16GB RAM Linux container.
 </div>
 """
 tags_metadata = [
 ]
 app = FastAPI(
+    title="SILENT TECH API",
     description=api_description,
     version="2.0.0",
     openapi_tags=tags_metadata,
+    docs_url=None, # We disable the default so we can use our custom Neon UI
     redoc_url=None
 )
+# --- 2. CUSTOM NEON UI ---
 @app.get("/docs", include_in_schema=False)
+async def neon_swagger_ui():
+    html = """
+    <!DOCTYPE html>
+    <html lang="en">
+    <head>
+        <meta charset="UTF-8">
+        <title>Silent Tech API - NEON UI</title>
+        <link rel="stylesheet" type="text/css" href="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui.css" />
+        <link rel="icon" type="image/png" href="https://i.ibb.co/C5nyyyXH/cccfe44a8d63663a60eed6f0300a8b44.jpg" />
+        <style>
+            /* 🚀 CUSTOM NEON CYBERPUNK CSS 🚀 */
+            body { background-color: #050505 !important; color: #00ffcc !important; font-family: 'Segoe UI', Tahoma, sans-serif; }
+            .swagger-ui .info .title { color: #00ffcc !important; text-shadow: 0 0 10px rgba(0, 255, 204, 0.7); }
+            .swagger-ui .info p { color: #a0aec0 !important; }
+            .swagger-ui .info h1, .swagger-ui .info h2, .swagger-ui .info h3, .swagger-ui .info h4, .swagger-ui .info h5 { color: #00ffcc !important; }
+            .swagger-ui .info a { color: #bd00ff !important; text-shadow: 0 0 8px rgba(189, 0, 255, 0.7); }
+            .swagger-ui .scheme-container { background-color: #0a0a0a !important; box-shadow: 0 0 15px rgba(0, 255, 204, 0.1); border-bottom: 1px solid #00ffcc; }
+            /* GET Requests (Neon Cyan) */
+            .swagger-ui .opblock.opblock-get { background: rgba(0, 255, 204, 0.05) !important; border: 1px solid #00ffcc !important; box-shadow: 0 0 10px rgba(0, 255, 204, 0.2); border-radius: 8px; }
+            .swagger-ui .opblock.opblock-get .opblock-summary-method { background: #00ffcc !important; color: #000 !important; font-weight: bold; }
+            /* POST Requests (Neon Purple) */
+            .swagger-ui .opblock.opblock-post { background: rgba(189, 0, 255, 0.05) !important; border: 1px solid #bd00ff !important; box-shadow: 0 0 10px rgba(189, 0, 255, 0.2); border-radius: 8px; }
+            .swagger-ui .opblock.opblock-post .opblock-summary-method { background: #bd00ff !important; color: #fff !important; font-weight: bold; }
+            /* Glowing Execute Button */
+            .swagger-ui .btn.execute { background-color: #00ffcc !important; color: #000 !important; border: none !important; box-shadow: 0 0 15px rgba(0, 255, 204, 0.6) !important; font-weight: bold; transition: 0.3s; }
+            .swagger-ui .btn.execute:hover { box-shadow: 0 0 25px rgba(0, 255, 204, 1) !important; }
+            .swagger-ui .btn { color: #00ffcc !important; border-color: #00ffcc !important; }
+            /* Text & Inputs */
+            .swagger-ui .opblock-body pre.microlight { background-color: #000 !important; border: 1px solid #333 !important; border-radius: 8px; color: #fff !important; }
+            .swagger-ui .parameters-col_name { color: #bd00ff !important; }
+            .swagger-ui input[type=text], .swagger-ui input[type=file] { background: #000 !important; color: #00ffcc !important; border: 1px solid #bd00ff !important; border-radius: 4px; padding: 5px; }
+            .swagger-ui .responses-inner h4, .swagger-ui .responses-inner h5 { color: #00ffcc !important; }
+            .swagger-ui svg { fill: #00ffcc !important; }
+            /* Models Section */
+            .swagger-ui section.models { border: 1px solid #333 !important; background: #0a0a0a !important; border-radius: 8px;}
+            .swagger-ui section.models h4 { color: #00ffcc !important; border-bottom: 1px solid #333; }
+            .swagger-ui .model-title { color: #bd00ff !important; }
+            .swagger-ui .model { color: #a0aec0 !important; }
+        </style>
+    </head>
+    <body>
+        <div id="swagger-ui"></div>
+        <script src="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui-bundle.js"></script>
+        <script src="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui-standalone-preset.js"></script>
+        <script>
+            window.onload = function() {
+                window.ui = SwaggerUIBundle({
+                    url: "/openapi.json",
+                    dom_id: '#swagger-ui',
+                    deepLinking: true,
+                    presets: [ SwaggerUIBundle.presets.apis, SwaggerUIStandalonePreset ],
+                    layout: "BaseLayout"
+                });
+            };
+        </script>
+    </body>
+    </html>
+    """
+    return HTMLResponse(html)
 # --- 3. LOAD AI MODELS ---
 print("Loading Whisper Voice AI...")
 image_model = StableDiffusionPipeline.from_pretrained("prompthero/openjourney", safety_checker=None)
 image_model.to("cpu")
 # --- 4. API ENDPOINTS ---
 @app.get("/", tags=["System"])
 def read_root():
         'quiet': True,
         'no_warnings': True,
         'skip_download': True,
+        'nocheckcertificate': True
     }
     try:
         with yt_dlp.YoutubeDL(ydl_opts) as ydl:
             info = ydl.extract_info(clean_url, download=False)
             if 'entries' in info:
                 info = info['entries'][0]
 def generate_image(prompt: str):
     """Generates an uncensored image and returns it directly as a PNG."""
     try:
         image = image_model(prompt, num_inference_steps=8, height=384, width=384).images[0]
         img_bytes = io.BytesIO()