Delete app.py

app.py

@@ -1,60 +0,0 @@
-import numpy as np
-import gradio as gr
-from sentence_transformers import SentenceTransformer
-from sklearn.metrics.pairwise import cosine_similarity
-
-# -----------------------
-# LOAD MODEL (CPU-safe)
-# -----------------------
-model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
-
-# -----------------------
-# INTENT DEFINITIONS
-# -----------------------
-INTENTS = {
-    "chat": "casual conversation, greetings, talking",
-    "search": "asking for information or facts",
-    "image_generation": "requesting image creation or visual generation",
-    "code": "programming, software development, debugging",
-    "research": "deep technical or academic research",
-    "study": "learning, studying, explanations, tutorials",
-    "project": "building or planning a project",
-    "action": "asking the system to do something"
-}
-
-intent_names = list(INTENTS.keys())
-intent_embeddings = model.encode(
-    list(INTENTS.values()),
-    normalize_embeddings=True
-)
-
-# -----------------------
-# ROUTER
-# -----------------------
-def classify(text: str):
-    text = text.strip()
-    if not text:
-        return {}
-
-    text_emb = model.encode([text], normalize_embeddings=True)
-    sims = cosine_similarity(text_emb, intent_embeddings)[0]
-
-    scores = {k: float(v) for k, v in zip(intent_names, sims)}
-    top_intent = max(scores, key=scores.get)
-
-    return {
-        "text": text,
-        "top_intent": top_intent,
-        "scores": scores
-    }
-
-# -----------------------
-# GRADIO APP (THIS IS IMPORTANT)
-# -----------------------
-app = gr.Interface(
-    fn=classify,
-    inputs=gr.Textbox(label="User Input"),
-    outputs=gr.JSON(label="Classification Result"),
-    title="🧠 Zero-Shot Intent Router",
-    description="Single-pass intent routing for prompt + MPC selection"
-)