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app.py
CHANGED
@@ -5,7 +5,7 @@ from huggingface_hub import InferenceClient
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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("
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def respond(
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@@ -40,32 +40,12 @@ def respond(
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response += token
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yield response
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def chat_function(message, history, system_prompt, max_new_tokens, temperature):
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messages = [{"role":"system","content":system_prompt},
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{"role":"user", "content":message}]
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prompt = pipeline.tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True,)
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terminators = [
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pipeline.tokenizer.eos_token_id,
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")]
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outputs = pipeline(
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prompt,
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max_new_tokens = max_new_tokens,
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eos_token_id = terminators,
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do_sample = True,
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temperature = temperature + 0.1,
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top_p = 0.9,)
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return outputs[0]["generated_text"][len(prompt):]
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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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textbox=gr.Textbox(placeholder="Enter message here", container=False, scale = 7),
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chatbot=gr.Chatbot(height=400),
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additional_inputs=[
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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("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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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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textbox=gr.Textbox(placeholder="Enter message here", container=False, scale = 7),
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chatbot=gr.Chatbot(height=400),
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additional_inputs=[
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