Update app.py

app.py

@@ -1,64 +1,69 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import requests
+import os
 
-"""
-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")
+# Konfigurasi API
+API_URL = "https://api.deepseek.com/v1/chat/completions"
+API_KEY = os.getenv("DEEPSEEK_API_KEY")  # Simpan API key di Spaces Secrets
 
+headers = {
+    "Authorization": f"Bearer {API_KEY}",
+    "Content-Type": "application/json"
+}
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+def chat_with_deepseek(prompt, history=[]):
+    messages = [
+        {"role": "system", "content": "Anda adalah asisten AI yang membantu pengguna."},
+        *[{"role": "user", "content": h[0]} for h in history],
+        {"role": "user", "content": prompt}
+    ]
+    
+    try:
+        response = requests.post(
+            API_URL,
+            headers=headers,
+            json={
+                "model": "deepseek-chat",
+                "messages": messages,
+                "temperature": 0.7,
+                "max_tokens": 1024
+            }
+        )
+        response.raise_for_status()
+        return response.json()["choices"][0]["message"]["content"]
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# Antarmuka Gradio
+with gr.Blocks(title="DeepSeek API Chat") as demo:
+    gr.Markdown("""<h1><center>🤖 DeepSeek API Chat</center></h1>""")
+    
+    chatbot = gr.Chatbot(height=500)
+    msg = gr.Textbox(label="Pesan Anda", placeholder="Ketik di sini...")
+    
+    with gr.Row():
+        submit_btn = gr.Button("Kirim")
+        clear_btn = gr.Button("Bersihkan")
 
-    messages.append({"role": "user", "content": message})
+    # Contoh pertanyaan
+    gr.Examples(
+        examples=[
+            "Jelaskan teori relativitas secara sederhana",
+            "Bantu saya buat kode Python untuk web scraping",
+            "Apa keunggulan DeepSeek dibanding model lain?"
+        ],
+        inputs=msg
+    )
 
-    response = ""
+    # Fungsi handler
+    def respond(message, chat_history):
+        bot_message = chat_with_deepseek(message, chat_history)
+        chat_history.append((message, bot_message))
+        return "", chat_history
 
-    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
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+    submit_btn.click(respond, [msg, chatbot], [msg, chatbot])
+    clear_btn.click(lambda: None, None, chatbot, queue=False)
 
-        response += token
-        yield response
-
-
-"""
-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)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+# Untuk Hugging Face Spaces
+demo.launch(debug=True)