Update app.py

app.py

@@ -1,24 +1,61 @@
-import os
-from dotenv import load_dotenv
-import requests
-
-# تحميل متغيرات البيئة من ملف .env
-load_dotenv()
-
-API_URL = "https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-Prover-V2-7B"
-API_TOKEN = os.getenv("HF_API_TOKEN")
-
-if not API_TOKEN:
-    raise ValueError("Please set HF_API_TOKEN in your .env file")
-
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-def query_deepseek(input_text):
-    payload = {"inputs": input_text}
-    response = requests.post(API_URL, headers=headers, json=payload)
-    response.raise_for_status()
-    output = response.json()
-    if isinstance(output, list) and 'generated_text' in output[0]:
-        return output[0]['generated_text']
-    else:
-        return str(output)
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# قراءة توكن Hugging Face API من متغير البيئة
+API_TOKEN = os.getenv("HF_API_TOKEN")
+if not API_TOKEN:
+    raise ValueError("Please set the HF_API_TOKEN environment variable with your Hugging Face API token.")
+
+# إنشاء عميل InferenceClient مع نموذج DeepSeek ومفتاح API
+client = InferenceClient("deepseek-ai/DeepSeek-Prover-V2-7B", token=API_TOKEN)
+
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
+
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+
+    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
+        response += token
+        yield response
+
+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()