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Update app.py
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app.py
CHANGED
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@@ -9,7 +9,7 @@ quant = os.getenv('QUANT')
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chat_template = os.getenv('CHAT_TEMPLATE')
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# Interface variables
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model_name = model_id.split('/')[1]
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title = f"🇩🇪 {model_name}"
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description = f"Chat with <a href=\"https://huggingface.co/{model_id}\">{model_name}</a> in GGUF format ({quant})!"
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@@ -21,7 +21,8 @@ llm = Llama(model_path="model.gguf",
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# Function for streaming chat completions
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def chat_stream_completion(message, history, system_prompt):
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messages_prompts = [{"role": "system", "content": system_prompt}]
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for human, assistant in history:
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messages_prompts.append({"role": "user", "content": human})
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messages_prompts.append({"role": "assistant", "content": assistant})
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@@ -43,8 +44,8 @@ gr.ChatInterface(
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fn=chat_stream_completion,
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title=title,
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description=description,
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additional_inputs=[gr.Textbox("Du bist ein hilfreicher Assistent.")],
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additional_inputs_accordion="📝 System prompt",
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examples=[
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["Was ist ein Large Language Model?"],
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["Was ist 9+2-1?"],
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chat_template = os.getenv('CHAT_TEMPLATE')
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# Interface variables
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model_name = model_id.split('/')[-1]
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title = f"🇩🇪 {model_name}"
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description = f"Chat with <a href=\"https://huggingface.co/{model_id}\">{model_name}</a> in GGUF format ({quant})!"
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# Function for streaming chat completions
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def chat_stream_completion(message, history, system_prompt):
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#messages_prompts = [{"role": "system", "content": system_prompt}]
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messages_prompts = []
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for human, assistant in history:
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messages_prompts.append({"role": "user", "content": human})
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messages_prompts.append({"role": "assistant", "content": assistant})
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fn=chat_stream_completion,
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title=title,
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description=description,
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#additional_inputs=[gr.Textbox("Du bist ein hilfreicher Assistent.")],
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#additional_inputs_accordion="📝 System prompt",
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examples=[
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["Was ist ein Large Language Model?"],
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["Was ist 9+2-1?"],
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