File size: 2,336 Bytes
e4809ff a704879 e4809ff a704879 e4809ff 5220d79 e4809ff 4abb1cb e4809ff 4abb1cb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | from flask import Flask, request, jsonify
import openai
import os
openai.api_key = os.environ.get("OPENAI_API_KEY")
def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state):
history = state['messages']
if not prompt:
return {
'chat_messages': [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)],
'total_tokens_used_msg': f"Total tokens used: {state['total_tokens']} / 3000"
}
prompt_template = prompt_templates[prompt_template]
system_prompt = []
if prompt_template:
system_prompt = [{ "role": "system", "content": prompt_template }]
prompt_msg = { "role": "user", "content": prompt }
try:
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
prompt=system_prompt + history + [prompt_msg],
temperature=temperature,
max_tokens=max_tokens
)
history.append(prompt_msg)
history.append({
"role": "system",
"content": response.choices[0].text
})
state['total_tokens'] += response['total_characters']
except Exception as e:
history.append(prompt_msg)
history.append({
"role": "system",
"content": f"Error: {e}"
})
total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
return {
'chat_messages': chat_messages,
'total_tokens_used_msg': total_tokens_used_msg
}
app = Flask(__name__)
state = {
'messages': [],
'total_tokens': 0
}
@app.route('/chat', methods=['POST'])
def chat():
data = request.json
prompt = data.get('prompt')
prompt_template = data.get('prompt_template')
temperature = data.get('temperature', 0.5)
max_tokens = data.get('max_tokens', 50)
_, chat_messages, total_tokens_used_msg, state = submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state)
response = {
'chat_messages': chat_messages,
'total_tokens_used_msg': total_tokens_used_msg
}
return jsonify(response)
if __name__ == '__main__':
app.run() |