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from huggingface_hub import InferenceClient
from typing import List, Dict
from config import HF_TOKEN, MODEL_NAME, SYSTEM_PROMPT
class Chatbot:
def __init__(self):
self.client = InferenceClient(api_key=HF_TOKEN)
self.conversation_history = [
{"role": "system", "content": SYSTEM_PROMPT}
]
def generate_context(self, relevant_chunks: List[Dict]) -> str:
context = "Kontekst z przepisów prawnych:\n\n"
for chunk in relevant_chunks:
context += f"{chunk['text']}\n\n"
return context
def get_response(self, user_input: str, context: str) -> str:
messages = self.conversation_history + [
{"role": "user", "content": f"Kontekst: {context}\n\nPytanie: {user_input}"}
]
response = ""
stream = self.client.chat.completions.create(
model=MODEL_NAME,
messages=messages,
temperature=0.5,
max_tokens=8192,
top_p=0.7,
stream=True
)
for chunk in stream:
content = chunk.choices[0].delta.content
if content:
response += content
yield content
self.conversation_history.append({"role": "user", "content": user_input})
self.conversation_history.append({"role": "assistant", "content": response})
def clear_history(self):
self.conversation_history = [
{"role": "system", "content": SYSTEM_PROMPT}
]
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