Update app.py
Browse files
app.py
CHANGED
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@@ -17,9 +17,7 @@ def respond(
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client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
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messages = [{"role": "system", "content": system_message}]
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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@@ -35,18 +33,15 @@ def respond(
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token = ""
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if len(choices) and choices[0].delta.content:
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token = choices[0].delta.content
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response += token
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yield response
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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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chatbot = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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@@ -65,6 +60,5 @@ with gr.Blocks() as demo:
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gr.LoginButton()
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chatbot.render()
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if __name__ == "__main__":
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demo.launch()
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client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
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messages = [{"role": "system", "content": system_message}]
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messages.extend(history)
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messages.append({"role": "user", "content": message})
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response = ""
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token = ""
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if len(choices) and choices[0].delta.content:
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token = choices[0].delta.content
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+
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response += token
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yield response
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# ChatInterface does not require the 'type' argument
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chatbot = gr.ChatInterface(
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fn=respond,
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inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.LoginButton()
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chatbot.render()
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if __name__ == "__main__":
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demo.launch()
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