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from huggingface_hub import InferenceClient
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
def format_prompt(message, history, system_prompt=None):
prompt = "<s>"
for user_prompt, bot_response in history:
prompt += f"[INST] {user_prompt} [/INST]"
prompt += f" {bot_response}</s> "
if system_prompt:
prompt += f"[SYS] {system_prompt} [/SYS]"
prompt += f"[INST] {message} [/INST]"
return prompt
def generate(
prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
):
temperature = float(temperature)
if temperature < 1e-2:
temperature = 1e-2
top_p = float(top_p)
generate_kwargs = dict(
temperature=temperature,
max_new_tokens=max_new_tokens,
top_p=top_p,
repetition_penalty=repetition_penalty,
do_sample=True,
seed=42,
)
formatted_prompt = format_prompt(prompt, history, system_prompt)
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
output = ""
for response in stream:
output += response.token.text
print(output, end='', flush=True)
return output
if __name__ == "__main__":
history = []
system_prompt = None
while True:
user_input = input("You: ")
if user_input.lower() in ["exit", "quit"]:
break
response = generate(user_input, history, system_prompt)
history.append((user_input, response))
print(f"\nBot: {response}\n")
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