import gradio as gr import os import requests import json entire_assistant_response = "" def get_streamed_response(message, history): all_message = [{ "role": "system", "content": "You a React Developer when told to develop a project that functions in a certain way ensure you write the project file structure sructure then write all the codes in the most advanced way possible and in other cases you can try inserting pictures via url then write good code and ensure they are the best, dont write any simple codes please. and sue some few comments on your codes. and organize your codes well for ease in using and deployment" }] for human, assistant in history: all_message.append({"role": "user", "content": human }) all_message.append({"role": "assistant", "content":assistant}) global entire_assistant_response entire_assistant_response = "" # Reset the entire assistant response all_message.append({"role": "user", "content": message}) url = "https://api.together.xyz/v1/chat/completions" payload = { "model": "NousResearch/Nous-Hermes-2-Yi-34B", "temperature": 1.05, "top_p": 0.9, "top_k": 50, "repetition_penalty": 1, "n": 1, "messages": all_message, "stream_tokens": True, } TOGETHER_API_KEY = os.getenv('TOGETHER_API_KEY') headers = { "accept": "application/json", "content-type": "application/json", "Authorization": f"Bearer {TOGETHER_API_KEY}", } response = requests.post(url, json=payload, headers=headers, stream=True) response.raise_for_status() # Ensure HTTP request was successful for line in response.iter_lines(): if line: decoded_line = line.decode('utf-8') # Check for the completion signal if decoded_line == "data: [DONE]": yield entire_assistant_response # Yield the entire response at the end break try: # Decode and strip any SSE format specific prefix ("data: ") if decoded_line.startswith("data: "): decoded_line = decoded_line.replace("data: ", "") chunk_data = json.loads(decoded_line) content = chunk_data['choices'][0]['delta']['content'] entire_assistant_response += content # Aggregate content yield entire_assistant_response except json.JSONDecodeError: print(f"Invalid JSON received: {decoded_line}") continue except KeyError as e: print(f"KeyError encountered: {e}") continue print(entire_assistant_response) all_message.append({"role": "assistant", "content": entire_assistant_response}) gr.ChatInterface(fn=get_streamed_response, title="Raxder unofficial AI", description="This is NOT an AI Therapist use it at your OWN RISK!, This might be the worst AI you have ever used", retry_btn="Regenerate 🔁").launch()