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Update v2.py
Browse files
v2.py
CHANGED
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@@ -1,15 +1,11 @@
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import re
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from dotenv import load_dotenv
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import requests
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from uuid import uuid4
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import json
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from typing import Any, AsyncGenerator, Dict
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import os
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# Load environment variables from .env file
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load_dotenv()
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class v2:
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def __init__(
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self,
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@@ -17,7 +13,7 @@ class v2:
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proxies: dict = {},
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):
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self.session = requests.Session()
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self.chat_endpoint = os.
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self.stream_chunk_size = 64
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self.timeout = timeout
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self.last_response = {}
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@@ -31,14 +27,13 @@ class v2:
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self.session.headers.update(self.headers)
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self.session.proxies = proxies
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def ask(
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self,
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prompt: str,
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stream: bool = False,
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raw: bool = False,
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) ->
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conversation_prompt =f"Tell me
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self.session.headers.update(self.headers)
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payload = {
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"contexts_from": "google"
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}
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)
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if not response.ok:
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raise Exception(
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f"Failed to generate response - ({response.status_code}, {response.reason}) - {response.text}"
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)
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streaming_text = ""
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for line in response.iter_lines(decode_unicode=True):
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if line.startswith('data:'):
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try:
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data = json.loads(line[5:].strip())
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if data['type'] == 'answer' and 'text' in data['data']:
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new_text = data['data']['text']
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if len(new_text) > len(streaming_text):
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delta = new_text[len(streaming_text):]
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streaming_text = new_text
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resp = dict(text=delta)
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self.last_response.update(dict(text=streaming_text))
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yield line if raw else resp
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except json.JSONDecodeError:
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pass
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def chat(
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self,
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prompt: str,
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stream: bool = False,
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) -> str:
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):
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yield self.get_message(response)
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def for_non_stream():
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return self.get_message(
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self.ask(
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prompt,
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False,
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)
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return for_stream() if stream else for_non_stream()
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def get_message(self, response: dict) -> str:
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assert isinstance(response, dict), "Response should be of dict data-type only"
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if "text" in response:
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text = re.sub(r'\[\[\d+\]\]', '', response["text"])
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return text
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else:
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return ""
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response = ai.chat("HelpingAI-9B", stream=True)
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for chunk in response:
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print(chunk, end="", flush=True)
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import re
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import requests
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from uuid import uuid4
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import json
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from typing import Any, AsyncGenerator, Dict, Generator
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import os
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from dotenv import load_dotenv
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load_dotenv()
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class v2:
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def __init__(
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self,
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proxies: dict = {},
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):
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self.session = requests.Session()
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self.chat_endpoint = os.get("v2")
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self.stream_chunk_size = 64
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self.timeout = timeout
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self.last_response = {}
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self.session.headers.update(self.headers)
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self.session.proxies = proxies
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def ask(
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self,
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prompt: str,
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stream: bool = False,
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raw: bool = False,
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) -> Generator[Dict[str, Any], None, None]:
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conversation_prompt = f"Tell me everything about {prompt}"
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self.session.headers.update(self.headers)
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payload = {
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"contexts_from": "google"
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}
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response = self.session.post(
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self.chat_endpoint, json=payload, stream=True, timeout=self.timeout
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)
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if not response.ok:
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raise Exception(
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f"Failed to generate response - ({response.status_code}, {response.reason}) - {response.text}"
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)
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streaming_text = ""
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for line in response.iter_lines(decode_unicode=True):
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if line.startswith('data:'):
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try:
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data = json.loads(line[5:].strip())
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if data['type'] == 'answer' and 'text' in data['data']:
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new_text = data['data']['text']
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if len(new_text) > len(streaming_text):
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delta = new_text[len(streaming_text):]
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streaming_text = new_text
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resp = dict(text=delta)
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self.last_response.update(dict(text=streaming_text))
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yield line if raw else resp
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except json.JSONDecodeError:
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pass
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def chat(
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self,
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prompt: str,
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stream: bool = False,
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) -> Generator[str, None, None]:
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for response in self.ask(prompt, True):
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yield self.format_text(self.get_message(response))
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yield "[DONE]"
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def get_message(self, response: dict) -> str:
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assert isinstance(response, dict), "Response should be of dict data-type only"
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if "text" in response:
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text = re.sub(r'\[\[\d+\]\]', '', response["text"])
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return text
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else:
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return ""
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def format_text(self, text: str) -> str:
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# Convert *text* to <i>text</i> for italic
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text = re.sub(r'\*(.*?)\*', r'<i>\1</i>', text)
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return text
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