File size: 7,025 Bytes
3c7025e b7490f8 3c7025e fd26aa4 627b441 1367e6b 3c7025e 8407ae2 c659a88 7f1bd15 6f2752e c659a88 04549f6 612684c 3c7025e a5515e4 3c7025e f728e7d 3c7025e c659a88 b7490f8 04549f6 b7490f8 612684c 04549f6 b7490f8 c659a88 b7490f8 a5515e4 c659a88 a5515e4 04549f6 b7490f8 c659a88 3c7025e b7490f8 612684c 3c7025e c659a88 b7490f8 c659a88 3c7025e b7490f8 612684c 3c7025e 6f2752e 8407ae2 b7490f8 04549f6 612684c b7490f8 612684c 7f1bd15 04549f6 8407ae2 04549f6 7f1bd15 b7490f8 612684c 7f1bd15 04549f6 8407ae2 04549f6 7f1bd15 b7490f8 612684c 7f1bd15 04549f6 8407ae2 6f2752e 8407ae2 04549f6 7f1bd15 04549f6 612684c 7f1bd15 04549f6 6f2752e 3c7025e 6f2752e 3c7025e a5515e4 3c7025e a5515e4 3c7025e 6f2752e 04549f6 612684c 04549f6 a5515e4 3c7025e 8407ae2 3c7025e a5515e4 04549f6 3c7025e 7f1bd15 a5515e4 7f1bd15 3c7025e c659a88 b7490f8 7c6aff8 612684c 3c7025e a5515e4 3c7025e |
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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 |
from datetime import datetime
import streamlit as st
from lib import config, txt2txt_generate
st.set_page_config(
page_title=f"Text Generation - {config.title}",
page_icon=config.icon,
layout=config.layout,
)
if "api_key_anthropic" not in st.session_state:
st.session_state.api_key_anthropic = ""
if "api_key_hf" not in st.session_state:
st.session_state.api_key_hf = ""
if "api_key_openai" not in st.session_state:
st.session_state.api_key_openai = ""
if "api_key_pplx" not in st.session_state:
st.session_state.api_key_pplx = ""
if "running" not in st.session_state:
st.session_state.running = False
if "txt2txt_messages" not in st.session_state:
st.session_state.txt2txt_messages = []
if "txt2txt_seed" not in st.session_state:
st.session_state.txt2txt_seed = 0
st.logo(config.logo, size="small")
st.sidebar.header("Settings")
text_services = {
service_id: service_config
for service_id, service_config in config.services.items()
if getattr(service_config, "text", None)
}
service = st.sidebar.selectbox(
"Service",
options=text_services.keys(),
format_func=lambda x: text_services[x].name,
disabled=st.session_state.running,
)
# Show the API key input for the selected service.
for service_id, service_preset in text_services.items():
if service == service_id:
session_key = f"api_key_{service}"
api_key = service_preset.api_key
st.session_state[session_key] = st.sidebar.text_input(
"API Key",
type="password",
value="" if api_key else st.session_state[session_key],
disabled=bool(api_key) or st.session_state.running,
help="Set by environment variable" if api_key else "Cleared on page refresh",
)
service_config = text_services[service]
model = st.sidebar.selectbox(
"Model",
options=service_config.text.keys(),
format_func=lambda x: service_config.text[x].name,
disabled=st.session_state.running,
)
model_config = service_config.text[model]
system = st.sidebar.text_area(
"System Message",
value=model_config.system_prompt,
disabled=st.session_state.running,
)
st.html("""
<h1>Text Generation</h1>
<p>Chat with large language models.</p>
""")
# Build parameters from preset by rendering the appropriate input widgets
parameters = {"model": model}
for param in model_config.parameters:
if param == "max_tokens":
parameters[param] = st.sidebar.slider(
"Max Tokens",
step=512,
value=model_config.max_tokens,
min_value=model_config.max_tokens_range[0],
max_value=model_config.max_tokens_range[1],
disabled=st.session_state.running,
help="Maximum number of tokens to generate (default: 512)",
)
if param == "temperature":
parameters[param] = st.sidebar.slider(
"Temperature",
step=0.1,
value=model_config.temperature,
min_value=model_config.temperature_range[0],
max_value=model_config.temperature_range[1],
disabled=st.session_state.running,
help="Used to modulate the next token probabilities (default: 1.0)",
)
if param == "frequency_penalty":
parameters[param] = st.sidebar.slider(
"Frequency Penalty",
step=0.1,
value=model_config.frequency_penalty,
min_value=model_config.frequency_penalty_range[0],
max_value=model_config.frequency_penalty_range[1],
disabled=st.session_state.running,
help="Penalize new tokens based on their existing frequency in the text (default: 0.0)",
)
if param == "presence_penalty":
parameters[param] = st.sidebar.slider(
"Presence Penalty",
step=0.1,
value=model_config.presence_penalty,
min_value=model_config.presence_penalty_range[0],
max_value=model_config.presence_penalty_range[1],
disabled=st.session_state.running,
help="Penalize new tokens based on their presence in the text so far (default: 0.0)",
)
if param == "seed":
parameters[param] = st.sidebar.number_input(
"Seed",
value=-1,
min_value=-1,
max_value=(1 << 53) - 1,
disabled=st.session_state.running,
help="Make a best effort to sample deterministically (default: -1)",
)
# Chat messages
for message in st.session_state.txt2txt_messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Buttons for deleting last message or clearing all messages
if st.session_state.txt2txt_messages:
button_container = st.empty()
with button_container.container():
# https://discuss.streamlit.io/t/st-button-in-one-line/25966/6
st.html("""
<style>
div[data-testid="column"] {
width: fit-content;
min-width: 0;
flex: none;
}
</style>
""")
col1, col2 = st.columns(2)
with col1:
if st.button("β", help="Delete last message") and len(st.session_state.txt2txt_messages) >= 2:
st.session_state.txt2txt_messages.pop()
st.session_state.txt2txt_messages.pop()
st.rerun()
with col2:
if st.button("ποΈ", help="Clear all messages"):
st.session_state.txt2txt_messages = []
st.rerun()
else:
button_container = None
# Chat input
if prompt := st.chat_input(
"What would you like to know?",
on_submit=lambda: setattr(st.session_state, "running", True),
):
if "seed" in parameters and parameters["seed"] >= 0:
st.session_state.txt2txt_seed = parameters["seed"]
else:
st.session_state.txt2txt_seed = int(datetime.now().timestamp() * 1e6) % (1 << 53)
if "seed" in parameters:
parameters["seed"] = st.session_state.txt2txt_seed
if button_container:
button_container.empty()
if service == "anthropic":
messages = []
parameters["system"] = system
else:
messages = [{"role": "system", "content": system}]
messages.extend([{"role": m["role"], "content": m["content"]} for m in st.session_state.txt2txt_messages])
messages.append({"role": "user", "content": prompt})
parameters["messages"] = messages
with st.chat_message("user"):
st.markdown(prompt)
with st.chat_message("assistant"):
session_key = f"api_key_{service}"
api_key = st.session_state[session_key] or text_services[service].api_key
response = txt2txt_generate(api_key, service, parameters)
st.session_state.running = False
st.session_state.txt2txt_messages.append({"role": "user", "content": prompt})
st.session_state.txt2txt_messages.append({"role": "assistant", "content": response})
st.rerun()
|