Update app.py
Browse files
app.py
CHANGED
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@@ -50,9 +50,13 @@ class ChatClient:
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output_sequences = self.model.generate(**inputs, **gen_kwargs)
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# 解码生成的文本
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result_text = self.tokenizer.decode(output_sequences[0], skip_special_tokens=True)
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# 创建客户端实例,指定模型路径
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model_path = 'model/v3/'
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@@ -63,7 +67,7 @@ client = ChatClient(model_path)
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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@@ -86,19 +90,21 @@ def respond(
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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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print(message)
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token = message
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#token = message.choices[0].delta.content
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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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@@ -107,8 +113,8 @@ demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="Yahoo!ショッピングについての質問を回答してください。", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=
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gr.Slider(minimum=0.1, maximum=4.0, value=0.
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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output_sequences = self.model.generate(**inputs, **gen_kwargs)
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# 解码生成的文本
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# result_text = self.tokenizer.decode(output_sequences[0], skip_special_tokens=True)
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# yield result_text
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# 解码生成的文本
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for sequence in output_sequences:
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result_text = self.tokenizer.decode(sequence, skip_special_tokens=True)
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yield result_text
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# 创建客户端实例,指定模型路径
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model_path = 'model/v3/'
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async def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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response = ""
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async 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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# print(message)
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# token = message
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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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yield message
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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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respond,
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additional_inputs=[
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gr.Textbox(value="Yahoo!ショッピングについての質問を回答してください。", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.1, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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