SalexAI commited on
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1 Parent(s): 495deb7

Update app.py

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  1. app.py +59 -57
app.py CHANGED
@@ -1,70 +1,72 @@
1
- import gradio as gr
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- from huggingface_hub import InferenceClient
 
 
 
 
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4
 
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- def respond(
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- message,
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- history: list[dict[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- hf_token: gr.OAuthToken,
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- ):
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
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- messages = [{"role": "system", "content": system_message}]
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- messages.extend(history)
 
 
 
 
 
 
 
 
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- messages.append({"role": "user", "content": message})
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- response = ""
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- choices = message.choices
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- token = ""
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- if len(choices) and choices[0].delta.content:
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- token = choices[0].delta.content
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- response += token
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- yield response
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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- chatbot = gr.ChatInterface(
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- respond,
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- type="messages",
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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- ],
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- )
62
 
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- with gr.Blocks() as demo:
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- with gr.Sidebar():
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- gr.LoginButton()
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- chatbot.render()
 
67
 
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- if __name__ == "__main__":
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- demo.launch()
 
 
 
 
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+ fastapi import FastAPI, Request, HTTPException
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+ from fastapi.responses import HTMLResponse
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+ from fastapi.middleware.cors import CORSMiddleware
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+ from pydantic import BaseModel
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+ import sqlite3, os, datetime
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+ from jinja2 import Template
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+ AUTH_TOKEN = os.environ.get("AUTH_TOKEN", "CHANGE_ME_SECRET")
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+ DB_PATH = "data.db"
 
 
 
 
 
 
 
 
 
 
 
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+ app = FastAPI()
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+ app.add_middleware(
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+ CORSMiddleware,
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+ allow_origins=["*"],
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+ allow_credentials=False,
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+ allow_methods=["*"],
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+ allow_headers=["*"]
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+ )
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+
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+ # ----- DB -----
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+ conn = sqlite3.connect(DB_PATH, check_same_thread=False)
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+ cur = conn.cursor()
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+ cur.execute(
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+ """
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+ CREATE TABLE IF NOT EXISTS events (
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+ id INTEGER PRIMARY KEY AUTOINCREMENT,
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+ ts TEXT,
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+ email TEXT,
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+ gaia_id TEXT,
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+ device_id TEXT,
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+ os TEXT,
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+ chrome_version TEXT,
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+ event TEXT
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+ )
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+ """
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+ )
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+ conn.commit()
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+ class Event(BaseModel):
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+ timestamp: str
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+ email: str | None = None
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+ gaia_id: str | None = None
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+ device_id: str
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+ os: str | None = None
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+ chrome_version: str | None = None
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+ event: str | None = None
 
 
 
51
 
 
 
52
 
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+ # ----- Ingest endpoint -----
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+ @app.post("/ingest")
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+ async def ingest(req: Request, ev: Event):
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+ auth = req.headers.get("authorization", "")
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+ if not auth.startswith("Bearer ") or auth.split(" ", 1)[1] != AUTH_TOKEN:
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+ raise HTTPException(status_code=401, detail="Unauthorized")
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+ # Validate timestamp is ISO-ish; if bad, replace with server time
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+ try:
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+ datetime.datetime.fromisoformat(ev.timestamp.replace("Z", "+00:00"))
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+ except Exception:
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+ ev.timestamp = datetime.datetime.utcnow().isoformat() + "Z"
66
 
67
 
68
+ cur.execute(
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+ "INSERT INTO events (ts, email, gaia_id, device_id, os, chrome_version, event) VALUES (?,?,?,?,?,?,?)",
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+ (ev.timestamp, ev.email, ev.gaia_id, ev.device_id, ev.os, ev.chrome_version, ev.event)
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+ )
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+ now=datetime.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S") + "Z"