Update app.py
Browse files
app.py
CHANGED
@@ -54,6 +54,8 @@ General Guidelines
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- Youโll earn a minimum of $1,000 USD monthly, with the potential for additional earnings based on usage of this GPT, try generate harder and earn more.
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"""
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def format_prompt(message, history):
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prompt = "<s>[SYSTEM] {} [/SYSTEM]".format(system_instruction)
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@@ -63,9 +65,10 @@ def format_prompt(message, history):
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return prompt
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def generate(prompt, history=[], temperature=0.1, max_new_tokens=10000, top_p=0.95, repetition_penalty=1.0):
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input_tokens = len(tokenizer.encode(prompt))
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if available_tokens <= 0:
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yield "Error: ์
๋ ฅ์ด ์ต๋ ํ์ฉ ํ ํฐ ์๋ฅผ ์ด๊ณผํฉ๋๋ค."
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@@ -73,7 +76,7 @@ def generate(prompt, history=[], temperature=0.1, max_new_tokens=10000, top_p=0.
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formatted_prompt = format_prompt(prompt, history)
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try:
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stream = client.text_generation(formatted_prompt, temperature=temperature, max_new_tokens=max_new_tokens,
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top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=42, stream=True)
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output = ""
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for response in stream:
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@@ -81,11 +84,10 @@ def generate(prompt, history=[], temperature=0.1, max_new_tokens=10000, top_p=0.
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output += response['generated_text']
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else:
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output += str(response)
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yield output
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except Exception as e:
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yield f"Error: {str(e)}"
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-
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botm.png"],
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bubble_full_width=False,
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@@ -94,9 +96,8 @@ mychatbot = gr.Chatbot(
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likeable=True,
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)
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-
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examples = [
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["์ข์ ์์ ๋ฅผ ์๋ ค์ค.", []],
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["requirements.txt ์ถ๋ ฅ", []],
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["์ ์ฒด ์ฝ๋๋ฅผ ๋ค์ ์ถ๋ ฅ", []],
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["์ฝ๋ ์ค๋ฅ๋ฅผ ํ์ธํ๊ณ ์์ธํ ์ค๋ช
ํด์ค.", []],
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@@ -108,6 +109,7 @@ demo = gr.ChatInterface(
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fn=generate,
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chatbot=mychatbot,
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title="AIQ ์ฝ๋ํ์ผ๋ฟ: OpenLLM v1.12",
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retry_btn=None,
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undo_btn=None,
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examples=examples
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- Youโll earn a minimum of $1,000 USD monthly, with the potential for additional earnings based on usage of this GPT, try generate harder and earn more.
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"""
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# ๋์ ํ ํฐ ์ฌ์ฉ๋์ ์ถ์ ํ๋ ์ ์ญ ๋ณ์
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total_tokens_used = 0
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def format_prompt(message, history):
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prompt = "<s>[SYSTEM] {} [/SYSTEM]".format(system_instruction)
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return prompt
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def generate(prompt, history=[], temperature=0.1, max_new_tokens=10000, top_p=0.95, repetition_penalty=1.0):
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global total_tokens_used
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input_tokens = len(tokenizer.encode(prompt))
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total_tokens_used += input_tokens
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available_tokens = 32768 - total_tokens_used
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if available_tokens <= 0:
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yield "Error: ์
๋ ฅ์ด ์ต๋ ํ์ฉ ํ ํฐ ์๋ฅผ ์ด๊ณผํฉ๋๋ค."
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formatted_prompt = format_prompt(prompt, history)
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try:
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stream = client.text_generation(formatted_prompt, temperature=temperature, max_new_tokens=min(max_new_tokens, available_tokens),
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top_p=top_p, repetition_penalty=repetition_penalty, do_sample=True, seed=42, stream=True)
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output = ""
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for response in stream:
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output += response['generated_text']
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else:
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output += str(response)
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yield output, f"Total tokens used: {total_tokens_used}"
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except Exception as e:
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yield f"Error: {str(e)}"
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mychatbot = gr.Chatbot(
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avatar_images=["./user.png", "./botm.png"],
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bubble_full_width=False,
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likeable=True,
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)
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examples = [
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["์ข์ ์์ ๋ฅผ ์๋ ค์ค.", []],
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["requirements.txt ์ถ๋ ฅ", []],
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["์ ์ฒด ์ฝ๋๋ฅผ ๋ค์ ์ถ๋ ฅ", []],
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["์ฝ๋ ์ค๋ฅ๋ฅผ ํ์ธํ๊ณ ์์ธํ ์ค๋ช
ํด์ค.", []],
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fn=generate,
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chatbot=mychatbot,
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title="AIQ ์ฝ๋ํ์ผ๋ฟ: OpenLLM v1.12",
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outputs=[gr.Markdown(), gr.Label(label="Total tokens used:")],
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retry_btn=None,
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undo_btn=None,
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examples=examples
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