Update app.py

app.py

@@ -113,71 +113,13 @@ 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
 """
-
-# 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)
+client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")
 
 def respond(message, history: list[tuple[str, str]]):
     system_message = (
@@ -209,13 +151,13 @@ def respond(message, history: list[tuple[str, str]]):
         temperature=temperature,
         top_p=top_p,
     ):
-        token_piece = message.choices[0].delta.content
-        response += token_piece
+        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
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 demo = gr.ChatInterface(respond)
 
@@ -224,3 +166,4 @@ if __name__ == "__main__":
 
 
 
+