Hugging Face's logo Search models, datasets, users... Spaces: Manofem / Mode_transformers__nn like 0 App Files Community Settings Mode_transformers__nn / app.py Manofem's picture Manofem Update app.py e318921 raw history blame edit delete No virus 1.58 kB from fastapi import FastAPI, HTTPException from llama_cpp import Llama import time import os app = FastAPI() llm = Llama(model_path="llama-2-7b-chat.Q3_K_S.gguf", n_ctx=2048, n_batch=512, use_mlock=True, n_threads=8) def typewrite(text, delay=0.01): for char in text: print(char, end='', flush=True) time.sleep(delay) print(end='', flush=True) # Print newline to move to the next line @app.post("/chat") async def chat(user_input: str): try: os.system("cls") print("Chatbot by Aritra Roy & DVLH") ask = user_input prompt = f"Llama-2-Chat [INST] <>You're an assistant named Tusti. You are Developed by Aritra Roy. Don't share any false information.<> {ask} [/INST]" # Send the request with stream=True output_stream = llm(prompt, max_tokens=1024, echo=False, temperature=0.2, top_p=0.1, stream=True) response_text_chunk = '' while True: try: chunk = next(output_stream) if chunk.get('choices') and chunk['choices'][0].get('text'): response_text_chunk += chunk['choices'][0]['text'] typewrite(response_text_chunk, delay=0.00) # live response except StopIteration: break if ask == 'clear': os.system("cls") return {"response": response_text_chunk} except Exception as e: raise HTTPException(status_code=500, detail=str(e)) if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=7860)