Update app.py
Browse files
app.py
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@@ -60,6 +60,56 @@
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# )
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# if __name__ == "__main__":
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# demo.launch()
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@@ -73,10 +123,11 @@ client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")
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def respond(message, history: list[tuple[str, str]]):
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system_message = (
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max_tokens = 2048
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temperature = 0.7
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top_p = 0.95
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@@ -112,3 +163,4 @@ demo = gr.ChatInterface(respond)
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if __name__ == "__main__":
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demo.launch()
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# )
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# if __name__ == "__main__":
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# demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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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
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"""
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# client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")
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# def respond(message, history: list[tuple[str, str]]):
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# system_message = (
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# "You are a helpful and experienced coding assistant specialized in web development. "
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# "Help the user by generating complete and functional code for building websites. "
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# "You can provide HTML, CSS, JavaScript, and backend code (like Flask, Node.js, etc.) based on their requirements. "
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# "Break down the tasks clearly if needed, and be friendly and supportive in your responses.")
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# max_tokens = 2048
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# temperature = 0.7
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# top_p = 0.95
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# messages = [{"role": "system", "content": system_message}]
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# for val in history:
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# if val[0]:
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# messages.append({"role": "user", "content": val[0]})
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# if val[1]:
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# messages.append({"role": "assistant", "content": val[1]})
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# messages.append({"role": "user", "content": message})
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# response = ""
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# for message in client.chat_completion(
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# messages,
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# max_tokens=max_tokens,
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# stream=True,
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# temperature=temperature,
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# top_p=top_p,
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# ):
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# token = message.choices[0].delta.content
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# response += token
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# yield response
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# """
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# For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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# """
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# demo = gr.ChatInterface(respond)
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# if __name__ == "__main__":
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# demo.launch()
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def respond(message, history: list[tuple[str, str]]):
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system_message = (
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"You are a helpful and experienced coding assistant specialized in web development. "
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"Help the user by generating complete and functional code for building websites. "
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"You can provide HTML, CSS, JavaScript, and backend code (like Flask, Node.js, etc.) based on their requirements. "
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"Break down the tasks clearly if needed, and be friendly and supportive in your responses."
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)
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max_tokens = 2048
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temperature = 0.7
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top_p = 0.95
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if __name__ == "__main__":
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demo.launch()
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