Delete app.py

app.py

@@ -1,112 +0,0 @@
-import os
-import gradio as gr
-import torch
-from sentence_transformers import SentenceTransformer, util
-
-# -----------------------------
-# Hard CPU enforcement (HF-safe)
-# -----------------------------
-os.environ["CUDA_VISIBLE_DEVICES"] = ""
-torch.set_num_threads(1)
-
-# -----------------------------
-# Load model (FAST & SAFE)
-# -----------------------------
-model = SentenceTransformer(
-    "sentence-transformers/all-MiniLM-L6-v2",
-    device="cpu"
-)
-
-# -----------------------------
-# Intent anchors
-# -----------------------------
-INTENT_LABELS = {
-    "chat": [
-        "casual conversation",
-        "small talk",
-        "just chatting"
-    ],
-    "search": [
-        "find information",
-        "look up facts",
-        "search the web"
-    ],
-    "image_generation": [
-        "generate an image",
-        "create artwork",
-        "draw a picture"
-    ],
-    "code": [
-        "write code",
-        "debug a program",
-        "programming help"
-    ],
-    "research": [
-        "deep research",
-        "academic analysis"
-    ],
-    "study": [
-        "help me learn",
-        "study help"
-    ],
-    "project": [
-        "build a project",
-        "create an application"
-    ],
-    "action": [
-        "set a reminder",
-        "perform an action"
-    ]
-}
-
-# -----------------------------
-# Precompute embeddings (ONCE)
-# -----------------------------
-anchor_embeddings = {
-    intent: model.encode(phrases, convert_to_tensor=True)
-    for intent, phrases in INTENT_LABELS.items()
-}
-
-# -----------------------------
-# Classifier
-# -----------------------------
-def classify(text):
-    if not text.strip():
-        return {}
-
-    query_emb = model.encode(text, convert_to_tensor=True)
-
-    scores = {
-        intent: util.cos_sim(query_emb, emb).max().item()
-        for intent, emb in anchor_embeddings.items()
-    }
-
-    top_intent = max(scores, key=scores.get)
-
-    return {
-        "text": text,
-        "top_intent": top_intent,
-        "scores": scores
-    }
-
-# -----------------------------
-# Gradio UI
-# -----------------------------
-demo = gr.Interface(
-    fn=classify,
-    inputs=gr.Textbox(label="User Input"),
-    outputs=gr.JSON(),
-    title="⚡ Ultra-Fast Intent Router",
-    description="MiniLM semantic router (no training, sub-second)"
-)
-
-# -----------------------------
-# REQUIRED FOR HF SPACES
-# -----------------------------
-if __name__ == "__main__":
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=True,
-        show_error=True
-    )