Test

app.py

@@ -1,89 +1,64 @@
-# ✅ Imports
-from openai import OpenAI
 import gradio as gr
-import os
+from huggingface_hub import InferenceClient
 
-# ✅ Load API key from Hugging Face Secrets (environment variables)
-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.")
-
-# ✅ 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=None):
-    if history is None:
-        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})
+"""
+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")
 
-    completion = client.chat.completions.create(
-        model="moonshotai/kimi-k2:free",
-        messages=messages,
-        extra_headers={
-            "HTTP-Referer": "https://your-site.com",
-            "X-Title": "NextDev Academy",
-        }
-    )
 
-    reply = completion.choices[0].message.content
-    history.append((prompt, reply))
-    return reply, history
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
 
-# ✅ Optional inline CSS
-custom_css = """
-<style>
-body {
-    background-color: #f9f9f9;
-}
-.gradio-container {
-    max-width: 700px;
-    margin: auto;
-}
-.gradio-chatbot {
-    background-color: #eef2f7;
-    border-radius: 10px;
-    padding: 10px;
-}
-</style>
-"""
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
 
-# ✅ Gradio UI with proper layout and "messages" type
-with gr.Blocks() as demo:
-    gr.HTML(custom_css)  # Inject custom styles
-    gr.Markdown("## 🤖 Kimi K2 Chatbot kwa Kiswahili (Powered by OpenRouter)")
+    messages.append({"role": "user", "content": message})
 
-    chatbot = gr.Chatbot(label="Kimi K2", type="messages")
-    state = gr.State([])
+    response = ""
 
-    with gr.Row():
-        msg = gr.Textbox(
-            placeholder="Uliza swali kuhusu programu au teknolojia...",
-            show_label=False,
-            scale=4
-        )
-        submit = gr.Button("➡️ Tuma", scale=1)
+    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
 
-    clear = gr.Button("🔄 Anza upya")
+        response += token
+        yield response
 
-    # Chat submission logic - return updated chat history and clear input box
-    def user_submit(user_message, history):
-        response, updated_history = ask_kimi(user_message, history)
-        return updated_history, updated_history, ""
 
-    # Bind submit with Enter or button click
-    msg.submit(user_submit, [msg, state], [chatbot, state, msg])
-    submit.click(user_submit, [msg, state], [chatbot, state, msg])
+"""
+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)",
+        ),
+    ],
+)
 
-    clear.click(lambda: ([], [], ""), None, [chatbot, state, msg])
 
-# ✅ Launch the app (do NOT use css= arg here)
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()

custom.css

@@ -1,13 +0,0 @@
-/* Hide Gradio footer branding */
-footer {
-  display: none !important;
-}
-
-/* Optional: Custom header */
-.gradio-container::before {
-  content: "NextDev Academy Chatbot";
-  display: block;
-  font-size: 1.5rem;
-  font-weight: bold;
-  margin: 10px;
-}

requirements.txt

@@ -1,2 +1 @@
-gradio
-openai
+huggingface_hub==0.25.2