File size: 1,069 Bytes
46ecafd 1ed8f60 46ecafd 1ed8f60 46ecafd 1ed8f60 46ecafd 1ed8f60 46ecafd 1d98141 46ecafd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | import os
from huggingface_hub import InferenceClient
# We use Meta's Llama 3 model here, which is incredibly smart and completely FREE on Hugging Face!
client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
def decode_semantic_intent(corrupted_text: str) -> str:
prompt = f"A message was destroyed by wireless noise. The demodulator outputted: '{corrupted_text}'. Reconstruct the original intent perfectly. Only output the corrected sentence and absolutely nothing else."
messages = [
{"role": "system", "content": "You are a highly advanced 6G Semantic Communication Decoder. You output only the fixed sentence. No conversational text. No explanations."},
{"role": "user", "content": prompt}
]
try:
# Ask the free Hugging Face model to fix the text
response = client.chat_completion(
messages,
max_tokens=100,
temperature=0.1
)
return response.choices[0].message.content.strip()
except Exception as e:
return f"AI Decoding Failed: {str(e)}" |