Update app.py

app.py

@@ -1,64 +1,68 @@
+# ✅ Install required packages
+!pip install -q openai gradio
+
+# ✅ Imports
+from openai import OpenAI
 import gradio as gr
-from huggingface_hub import InferenceClient
+import os
+
+# ✅ Load API key from Hugging Face Secrets
+api_key = os.getenv("OPENROUTER_API_KEY")
+if not api_key:
+    raise ValueError("⚠️ OPENROUTER_API_KEY not found. Add it in HF Spaces > Settings > Secrets.")
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# ✅ OpenRouter API client setup
+client = OpenAI(
+    base_url="https://openrouter.ai/api/v1",
+    api_key=api_key,
+)
 
+# ✅ Chat function using Kimi-K2
+def ask_kimi(prompt, history=[]):
+    messages = [{"role": "system", "content": "Wewe ni msaidizi mzuri wa kujifunza programu kwa Kiswahili."}]
+    for user, bot in history:
+        messages.append({"role": "user", "content": user})
+        messages.append({"role": "assistant", "content": bot})
+    messages.append({"role": "user", "content": prompt})
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    completion = client.chat.completions.create(
+        model="moonshotai/kimi-k2:free",
+        messages=messages,
+        extra_headers={
+            "HTTP-Referer": "https://your-site.com",
+            "X-Title": "NextDev Academy",
+        }
+    )
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    reply = completion.choices[0].message.content
+    history.append((prompt, reply))
+    return reply, history
 
-    messages.append({"role": "user", "content": message})
+# ✅ Gradio UI with submit button
+with gr.Blocks() as demo:
+    gr.Markdown("## 🤖 Kimi K2 Chatbot kwa Kiswahili (Powered by OpenRouter)")
 
-    response = ""
+    chatbot = gr.Chatbot()
+    state = gr.State([])
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    with gr.Row():
+        msg = gr.Textbox(
+            placeholder="Uliza swali kuhusu programu au teknolojia...",
+            show_label=False,
+            scale=4
+        )
+        submit = gr.Button("➡️ Tuma", scale=1)
 
-        response += token
-        yield response
+    clear = gr.Button("🔄 Anza upya")
 
+    # Chat submission logic
+    def user_submit(user_message, history):
+        response, updated_history = ask_kimi(user_message, history)
+        return updated_history, updated_history
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+    msg.submit(user_submit, [msg, state], [chatbot, state])
+    submit.click(user_submit, [msg, state], [chatbot, state])
 
+    clear.click(lambda: ([], []), None, [chatbot, state])
 
-if __name__ == "__main__":
-    demo.launch()
+demo.launch(css="custom.css")