Update app.py

app.py

@@ -1,11 +1,11 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-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")
+from openai import OpenAI
 
+# API istemcisini başlatıyoruz
+client = OpenAI(
+    base_url="https://integrate.api.nvidia.com/v1",
+    api_key="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"  # Geçerli API anahtarını kullan
+)
 
 def respond(
     message,
@@ -17,32 +17,35 @@ def respond(
 ):
     messages = [{"role": "system", "content": system_message}]
 
+    # Geçmiş mesajları ekliyoruz
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
+    # Kullanıcı mesajını ekliyoruz
     messages.append({"role": "user", "content": message})
 
     response = ""
 
-    for message in client.chat_completion(
-        messages,
+    # API'den gelen yanıtı işliyoruz
+    completion = client.chat.completions.create(
+        model="nvidia/nemotron-4-340b-instruct",
+        messages=messages,
         max_tokens=max_tokens,
-        stream=True,
         temperature=temperature,
         top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
+        stream=True,
+    )
+    
+    for chunk in completion:
+        if chunk.choices[0].delta.content is not None:
+            token = chunk.choices[0].delta.content
+            response += token
+            yield response
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# Gradio arayüzünü tanımlıyoruz
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -59,6 +62,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
     demo.launch()