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Update app.py
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app.py
CHANGED
@@ -1,11 +1,15 @@
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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("Aksh1t/mistral-7b-oig-unsloth-merged")
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def respond(
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message,
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@@ -27,21 +31,20 @@ 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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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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@@ -58,6 +61,5 @@ 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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import gradio as gr
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from huggingface_hub import InferenceClient
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client = InferenceClient("Aksh1t/mistral-7b-oig-unsloth-merged")
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# Define the custom chat template
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custom_template = {
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"chat": {
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"prompt": "The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly.\n\nHuman: {input}\nAI:",
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"stop": ["\nHuman:"]
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}
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}
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def respond(
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message,
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response = ""
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# Call chat_completion with custom template and other parameters
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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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template=custom_template # Pass custom template here
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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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