Update app.py

app.py

@@ -1,12 +1,25 @@
-async function sendMessageToBot(message, history = []) {
-  let response = await fetch("https://aimanathar-aima-chatbot.hf.space/run/predict", {
-    method: "POST",
-    headers: { "Content-Type": "application/json" },
-    body: JSON.stringify({ data: [message, history] })
-  });
-
-  let result = await response.json();
-  console.log("Bot API Response:", result);
-
-  return result.data[0]; // bot ka jawab
-}
+import gradio as gr
+from huggingface_hub import InferenceClient
+import os
+
+HF_TOKEN = os.getenv("HF_TOKEN")
+
+def respond(message, history):
+    client = InferenceClient(token=HF_TOKEN, model="openai/gpt-oss-20b")
+    messages = [{"role": "system", "content": "You are a friendly chatbot."}]
+    for h in history:
+        messages.append({"role": "user", "content": h[0]})
+        messages.append({"role": "assistant", "content": h[1]})
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+    for msg in client.chat_completion(messages, max_tokens=200, stream=True):
+        if msg.choices and msg.choices[0].delta.content:
+            response += msg.choices[0].delta.content
+    return response
+
+# 👇 is tarah karo taake API endpoint expose ho
+demo = gr.ChatInterface(respond)
+
+if __name__ == "__main__":
+    demo.launch()