Create app.py

app.py

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+import gradio as gr
+import faiss
+import numpy as np
+import json
+from sentence_transformers import SentenceTransformer
+import os
+
+# Load your content and index
+with open("texts.json", "r") as f:
+    texts = json.load(f)
+
+index = faiss.read_index("faiss_index.bin")
+
+# Load embedding model
+embed_model = SentenceTransformer("all-MiniLM-L6-v2")
+
+# Helper to retrieve relevant chunks
+def retrieve_chunks(query, k=5):
+    query_emb = embed_model.encode([query])
+    D, I = index.search(np.array(query_emb), k)
+    return [texts[i] for i in I[0] if i < len(texts)]
+
+# Main chatbot function
+def rag_chatbot(message, history, request: gr.Request):
+    user_header = request.headers.get("X-Source", "")
+    if user_header == "wordpress":
+        # RAG logic for WordPress embed
+        context_chunks = retrieve_chunks(message)
+        context = "\n".join(context_chunks)
+        if not context.strip():
+            return "❌ I'm sorry, I can only assist with questions related to LogiqCurve.com."
+        prompt = f"Answer based ONLY on this content:\n{context}\n\nQuestion: {message}"
+    else:
+        # Public fallback (general AI)
+        prompt = message
+
+    # Use OpenRouter API
+    headers = {
+        "Authorization": f"Bearer {os.environ.get('OPENROUTER_API_KEY')}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "deepseek/deepseek-chat-v3-0324:free",
+        "messages": [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": prompt}
+        ]
+    }
+
+    try:
+        import requests
+        res = requests.post("https://openrouter.ai/api/v1/chat/completions", headers=headers, json=payload)
+        res.raise_for_status()
+        return res.json()["choices"][0]["message"]["content"]
+    except Exception as e:
+        return f"❌ API Error: {e}"
+
+# Gradio interface
+iface = gr.ChatInterface(
+    fn=rag_chatbot,
+    title="LogiqCurve WordPress Assistant",
+    description="Answers only based on the content of LogiqCurve.com",
+    theme="soft"
+)
+
+iface.launch()