Update app.py

app.py

@@ -113,13 +113,71 @@ For more information on `huggingface_hub` Inference API support, please check th
 # if __name__ == "__main__":
 #     demo.launch()
 
+# 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("Qwen/Qwen2.5-Coder-32B-Instruct")
+
+# def respond(message, history: list[tuple[str, str]]):
+#     system_message = (
+#         "You are a helpful and experienced coding assistant specialized in web development. "
+#         "Help the user by generating complete and functional code for building websites. "
+#         "You can provide HTML, CSS, JavaScript, and backend code (like Flask, Node.js, etc.) based on their requirements. "
+#         "Break down the tasks clearly if needed, and be friendly and supportive in your responses."
+#     )
+#     max_tokens = 2048
+#     temperature = 0.7
+#     top_p = 0.95
+
+#     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
+
+# """
+# For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+# """
+# demo = gr.ChatInterface(respond)
+
+# if __name__ == "__main__":
+#     demo.launch()
+
 import gradio as gr
 from huggingface_hub import InferenceClient
+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
+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("Qwen/Qwen2.5-Coder-32B-Instruct")
+
+# Load token from environment variable named 'sdp'
+token = os.getenv("sdp")
+
+# Initialize the Inference Client with the secret token
+client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct", token=token)
 
 def respond(message, history: list[tuple[str, str]]):
     system_message = (
@@ -151,16 +209,18 @@ def respond(message, history: list[tuple[str, str]]):
         temperature=temperature,
         top_p=top_p,
     ):
-        token = message.choices[0].delta.content
-
-        response += token
+        token_piece = message.choices[0].delta.content
+        response += token_piece
         yield response
 
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+For information on how to customize the ChatInterface, peruse the gradio docs: 
+https://www.gradio.app/docs/chatinterface
 """
 demo = gr.ChatInterface(respond)
 
 if __name__ == "__main__":
     demo.launch()
 
+
+