Update app.py

app.py

@@ -6,7 +6,7 @@ import numpy as np
 import json
 from sentence_transformers import SentenceTransformer
 
-# Load context
+# Load RAG context
 with open("texts.json", "r", encoding="utf-8") as f:
     texts = json.load(f)
 
@@ -16,11 +16,13 @@ embed_model = SentenceTransformer("all-MiniLM-L6-v2")
 API_KEY = os.environ.get("OPENROUTER_API_KEY")
 MODEL = "qwen/qwen-2.5-coder-32b-instruct:free"
 
+# 🔍 Get relevant context from vector index
 def get_context(query, top_k=5):
     query_vec = embed_model.encode([query])
     D, I = index.search(np.array(query_vec), top_k)
     return "\n".join([texts[i] for i in I[0]])
 
+# 💬 Generate reply with context + chat history
 def chat_fn(message, history):
     headers = {
         "Authorization": f"Bearer {API_KEY}",
@@ -52,6 +54,18 @@ Avoid robotic language. Respond using the following information:
 
     return reply
 
+# ✅ API endpoint: plain input/output
+def api_respond(message):
+    return chat_fn(message, [])
+
+api_interface = gr.Interface(
+    fn=api_respond,
+    inputs=gr.Textbox(lines=1, placeholder="Ask me anything..."),
+    outputs="text",
+    live=False
+)
+
+# 🎨 Custom CSS and chat UI
 custom_css = """
 * {
   font-family: 'Segoe UI', sans-serif;
@@ -71,7 +85,6 @@ custom_css = """
   max-width: 75%;
   word-wrap: break-word;
   box-shadow: 0 4px 14px rgba(0,0,0,0.08);
-  transition: 0.3s;
 }
 .message.user {
   background-color: #4F46E5;
@@ -110,7 +123,7 @@ button {
 }
 """
 
-with gr.Blocks(css=custom_css) as demo:
+with gr.Blocks(css=custom_css) as chatbot_ui:
     chatbot_state = gr.State([])
 
     with gr.Column():
@@ -138,4 +151,7 @@ with gr.Blocks(css=custom_css) as demo:
     send.click(respond, [msg, chatbot_state], [chatbox, chatbot_state, msg])
     msg.submit(respond, [msg, chatbot_state], [chatbox, chatbot_state, msg])
 
-demo.launch()
+# 🚀 Launch both UI and API
+if __name__ == "__main__":
+    chatbot_ui.queue().launch(share=True, inline=False)
+    api_interface.launch(inline=False)