Update app.py
Browse files
app.py
CHANGED
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@@ -2,119 +2,63 @@ import gradio as gr
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from huggingface_hub import HfApi
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import os
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import uuid
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from fastapi import FastAPI, UploadFile, File
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from fastapi.middleware.cors import CORSMiddleware
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import uvicorn
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import shutil
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# --- SYSTEM CONFIGURATION ---
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HF_TOKEN = os.getenv("HF_TOKEN")
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DATASET_ID = "Threatthriver/sys_log_dump_v4_shards"
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HIDDEN_PATH = "data/blobs/0x44"
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# Initialize Connection
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api = HfApi(token=HF_TOKEN)
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app = FastAPI()
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# Add CORS to allow mobile app requests
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# --- HELPER FUNCTION ---
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def upload_logic(file_path, filename_hint="video.mp4"):
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"""
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"""
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try:
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#
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request_id = str(uuid.uuid4())
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extension = os.path.splitext(filename_hint)[1] or ".mp4"
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# Ensure we don't end up with weird extensions
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if len(extension) > 5 or extension == ".bin":
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extension = ".mp4"
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shard_name = f"sys_core_dump_{request_id}{extension}"
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print(f"⚙️ Allocating Shard: {shard_name}...")
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# 2. Upload to Hidden Folder
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api.upload_file(
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path_or_fileobj=
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path_in_repo=f"{HIDDEN_PATH}/{shard_name}",
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repo_id=DATASET_ID,
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repo_type="dataset",
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commit_message=f"Auto-sync daemon: shard {request_id}"
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)
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# 3. Generate Stream URL
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data_stream_url = f"https://huggingface.co/datasets/{DATASET_ID}/resolve/main/{HIDDEN_PATH}/{shard_name}"
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return data_stream_url
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except Exception as e:
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return None
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# --- WEB INTERFACE (GRADIO) ---
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def system_shard_allocator(packet_file):
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if packet_file is None: return "ERROR: No packet received."
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# Gradio handles cleanup, we just use the path
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url = upload_logic(packet_file.name, packet_file.name)
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return url if url else "ALLOCATION_ERROR"
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with gr.Blocks(title="System Sync Daemon") as system_daemon:
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gr.Markdown("### ⚠️ SYSTEM SYNC DAEMON [BACKGROUND PROCESS]")
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with gr.Row():
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input_packet = gr.File(label="Binary Packet Input")
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output_log = gr.Textbox(label="Allocation Path")
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btn = gr.Button("Execute Sync")
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# 'predict' API name enabled for website compatibility
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btn.click(fn=system_shard_allocator, inputs=input_packet, outputs=output_log, api_name="predict")
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# --- MOBILE INTERFACE (FASTAPI) ---
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@app.post("/upload_stream")
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async def upload_stream(video: UploadFile = File(...)):
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"""
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Endpoint for Mobile App Multipart Uploads
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"""
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print(f"📱 Receiving mobile stream: {video.filename}")
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with open(temp_filename, "wb") as buffer:
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shutil.copyfileobj(video.file, buffer)
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# Upload
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url = upload_logic(temp_filename, video.filename)
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# Cleanup
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if os.path.exists(temp_filename):
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os.remove(temp_filename)
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if url:
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return {"url": url}
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else:
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return {"error": "Upload failed"}, 500
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except Exception as e:
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print(f"Error processing mobile upload: {e}")
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return {"error": str(e)}, 500
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# IMPORTANT: Enable queueing BEFORE mounting
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system_daemon.queue()
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# Mount Gradio to the root of FastAPI
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# This allows both / (Gradio) and /upload_stream (API) to work
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app = gr.mount_gradio_app(app, system_daemon, path="/")
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#
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uvicorn.run(app, host="0.0.0.0", port=7860)
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from huggingface_hub import HfApi
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import os
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import uuid
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# --- SYSTEM CONFIGURATION ---
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# The Bridge looks for the Secret Token we just added
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HF_TOKEN = os.getenv("HF_TOKEN")
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# TARGET REPO: Your specific dataset
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DATASET_ID = "Threatthriver/sys_log_dump_v4_shards"
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HIDDEN_PATH = "data/blobs/0x44"
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# Initialize Connection
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api = HfApi(token=HF_TOKEN)
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def system_shard_allocator(packet_file):
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"""
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INTERNAL: Allocates binary shard to persistent storage.
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"""
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if packet_file is None:
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return "ERROR: No packet received."
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# 1. Generate System Hash (Stealth Name)
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# We rename the video to look like a system dump file ending in .bin
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request_id = str(uuid.uuid4())
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shard_name = f"sys_core_dump_{request_id}.bin"
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print(f"⚙️ Allocating Shard: {shard_name}...")
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try:
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# 2. Upload to the Hidden Folder in the Dataset
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api.upload_file(
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path_or_fileobj=packet_file.name,
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path_in_repo=f"{HIDDEN_PATH}/{shard_name}",
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repo_id=DATASET_ID,
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repo_type="dataset",
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commit_message=f"Auto-sync daemon: shard {request_id}"
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)
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# 3. Generate the Stream URL (Using 'resolve' for direct streaming)
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data_stream_url = f"https://huggingface.co/datasets/{DATASET_ID}/resolve/main/{HIDDEN_PATH}/{shard_name}"
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return data_stream_url
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except Exception as e:
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return f"ALLOCATION_ERROR: {str(e)}"
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# --- DAEMON INTERFACE ---
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with gr.Blocks(title="System Sync Daemon") as system_daemon:
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gr.Markdown("### ⚠️ SYSTEM SYNC DAEMON [BACKGROUND PROCESS]")
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with gr.Row():
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input_packet = gr.File(label="Binary Packet Input")
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output_log = gr.Textbox(label="Allocation Path")
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btn = gr.Button("Execute Sync")
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# --- CRITICAL FIX: api_name="predict" ---
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# This allows your Next.js client to call client.predict("/predict", ...)
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btn.click(fn=system_shard_allocator, inputs=input_packet, outputs=output_log, api_name="predict")
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# Launch
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system_daemon.queue().launch()
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