Update app.py
Browse files
app.py
CHANGED
@@ -1,12 +1,9 @@
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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("joermd/speedy-llama2")
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def respond(
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message,
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history: list[tuple[str, str]],
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@@ -16,17 +13,13 @@ def respond(
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top_p,
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):
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messages = [{"role": "system", "content": system_message}]
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-
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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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-
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response = ""
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-
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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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@@ -35,14 +28,9 @@ def respond(
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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(
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respond,
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additional_inputs=[
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@@ -59,6 +47,5 @@ demo = gr.ChatInterface(
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],
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)
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if __name__ == "__main__":
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demo.launch()
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# app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("joermd/speedy-llama2")
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def respond(
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message,
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history: list[tuple[str, str]],
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top_p,
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):
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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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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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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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],
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)
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if __name__ == "__main__":
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demo.launch()
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