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authorabc <98614666+xtekky@users.noreply.github.com>2023-10-19 16:14:48 +0200
committerabc <98614666+xtekky@users.noreply.github.com>2023-10-19 16:14:48 +0200
commitd4ab83a45bfef2910936dcabf3f875268631e65b (patch)
treefc8176d47b8074a8dc988b8a440b308b2784f42c
parent~ (diff)
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-rw-r--r--g4f/Provider/Vercel.py132
-rw-r--r--g4f/__init__.py41
-rw-r--r--g4f/gui/client/html/index.html9
-rw-r--r--g4f/gui/client/js/chat.v2.js107
-rw-r--r--g4f/gui/server/backend.py7
-rw-r--r--g4f/models.py18
6 files changed, 163 insertions, 151 deletions
diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
index 2d856664..9b1292a0 100644
--- a/g4f/Provider/Vercel.py
+++ b/g4f/Provider/Vercel.py
@@ -2,9 +2,10 @@ from __future__ import annotations
import json, base64, requests, execjs, random, uuid
-from ..typing import Messages, TypedDict, CreateResult
+from ..typing import Messages, TypedDict, CreateResult, Any
from .base_provider import BaseProvider
from abc import abstractmethod
+from ..debug import logging
class Vercel(BaseProvider):
@@ -19,14 +20,16 @@ class Vercel(BaseProvider):
model: str,
messages: Messages,
stream: bool,
- proxy: str = None,
- **kwargs
- ) -> CreateResult:
+ proxy: str = None, **kwargs) -> CreateResult:
+
+ print(model)
+
if not model:
model = "gpt-3.5-turbo"
+
elif model not in model_info:
- raise ValueError(f"Model are not supported: {model}")
-
+ raise ValueError(f"Vercel does not support {model}")
+
headers = {
'authority' : 'sdk.vercel.ai',
'accept' : '*/*',
@@ -110,40 +113,49 @@ class ModelInfo(TypedDict):
default_params: dict[str, Any]
model_info: dict[str, ModelInfo] = {
- 'claude-instant-v1': {
- 'id': 'anthropic:claude-instant-v1',
- 'default_params': {
- 'temperature': 1,
- 'maximumLength': 1024,
- 'topP': 1,
- 'topK': 1,
- 'presencePenalty': 1,
- 'frequencyPenalty': 1,
- 'stopSequences': ['\n\nHuman:'],
- },
- },
- 'claude-v1': {
- 'id': 'anthropic:claude-v1',
- 'default_params': {
- 'temperature': 1,
- 'maximumLength': 1024,
- 'topP': 1,
- 'topK': 1,
- 'presencePenalty': 1,
- 'frequencyPenalty': 1,
- 'stopSequences': ['\n\nHuman:'],
- },
- },
- 'claude-v2': {
- 'id': 'anthropic:claude-v2',
+ # 'claude-instant-v1': {
+ # 'id': 'anthropic:claude-instant-v1',
+ # 'default_params': {
+ # 'temperature': 1,
+ # 'maximumLength': 1024,
+ # 'topP': 1,
+ # 'topK': 1,
+ # 'presencePenalty': 1,
+ # 'frequencyPenalty': 1,
+ # 'stopSequences': ['\n\nHuman:'],
+ # },
+ # },
+ # 'claude-v1': {
+ # 'id': 'anthropic:claude-v1',
+ # 'default_params': {
+ # 'temperature': 1,
+ # 'maximumLength': 1024,
+ # 'topP': 1,
+ # 'topK': 1,
+ # 'presencePenalty': 1,
+ # 'frequencyPenalty': 1,
+ # 'stopSequences': ['\n\nHuman:'],
+ # },
+ # },
+ # 'claude-v2': {
+ # 'id': 'anthropic:claude-v2',
+ # 'default_params': {
+ # 'temperature': 1,
+ # 'maximumLength': 1024,
+ # 'topP': 1,
+ # 'topK': 1,
+ # 'presencePenalty': 1,
+ # 'frequencyPenalty': 1,
+ # 'stopSequences': ['\n\nHuman:'],
+ # },
+ # },
+ 'replicate/llama70b-v2-chat': {
+ 'id': 'replicate:replicate/llama-2-70b-chat',
'default_params': {
- 'temperature': 1,
- 'maximumLength': 1024,
+ 'temperature': 0.75,
+ 'maximumLength': 3000,
'topP': 1,
- 'topK': 1,
- 'presencePenalty': 1,
- 'frequencyPenalty': 1,
- 'stopSequences': ['\n\nHuman:'],
+ 'repetitionPenalty': 1,
},
},
'a16z-infra/llama7b-v2-chat': {
@@ -254,28 +266,28 @@ model_info: dict[str, ModelInfo] = {
'stopSequences': [],
},
},
- 'gpt-4': {
- 'id': 'openai:gpt-4',
- 'default_params': {
- 'temperature': 0.7,
- 'maximumLength': 8192,
- 'topP': 1,
- 'presencePenalty': 0,
- 'frequencyPenalty': 0,
- 'stopSequences': [],
- },
- },
- 'gpt-4-0613': {
- 'id': 'openai:gpt-4-0613',
- 'default_params': {
- 'temperature': 0.7,
- 'maximumLength': 8192,
- 'topP': 1,
- 'presencePenalty': 0,
- 'frequencyPenalty': 0,
- 'stopSequences': [],
- },
- },
+ # 'gpt-4': {
+ # 'id': 'openai:gpt-4',
+ # 'default_params': {
+ # 'temperature': 0.7,
+ # 'maximumLength': 8192,
+ # 'topP': 1,
+ # 'presencePenalty': 0,
+ # 'frequencyPenalty': 0,
+ # 'stopSequences': [],
+ # },
+ # },
+ # 'gpt-4-0613': {
+ # 'id': 'openai:gpt-4-0613',
+ # 'default_params': {
+ # 'temperature': 0.7,
+ # 'maximumLength': 8192,
+ # 'topP': 1,
+ # 'presencePenalty': 0,
+ # 'frequencyPenalty': 0,
+ # 'stopSequences': [],
+ # },
+ # },
'code-davinci-002': {
'id': 'openai:code-davinci-002',
'default_params': {
diff --git a/g4f/__init__.py b/g4f/__init__.py
index 492d4e5b..1342452a 100644
--- a/g4f/__init__.py
+++ b/g4f/__init__.py
@@ -1,14 +1,13 @@
from __future__ import annotations
-from requests import get
-from g4f.models import Model, ModelUtils
-from .Provider import BaseProvider, RetryProvider
-from .typing import Messages, CreateResult, Union, List
-from .debug import logging
+from requests import get
+from .models import Model, ModelUtils, _all_models
+from .Provider import BaseProvider, RetryProvider
+from .typing import Messages, CreateResult, Union, List
+from .debug import logging
-version = '0.1.6.6'
+version = '0.1.6.6'
version_check = True
-
def check_pypi_version() -> None:
try:
response = get("https://pypi.org/pypi/g4f/json").json()
@@ -20,7 +19,6 @@ def check_pypi_version() -> None:
except Exception as e:
print(f'Failed to check g4f pypi version: {e}')
-
def get_model_and_provider(model : Union[Model, str],
provider : Union[type[BaseProvider], None],
stream : bool,
@@ -56,7 +54,7 @@ def get_model_and_provider(model : Union[Model, str],
class ChatCompletion:
@staticmethod
- def create(model: Union[Model, str],
+ def create(model : Union[Model, str],
messages : Messages,
provider : Union[type[BaseProvider], None] = None,
stream : bool = False,
@@ -76,12 +74,11 @@ class ChatCompletion:
return result if stream else ''.join(result)
@staticmethod
- async def create_async(
- model : Union[Model, str],
- messages: Messages,
- provider: Union[type[BaseProvider], None] = None,
- stream : bool = False,
- ignored : List[str] = None, **kwargs) -> str:
+ async def create_async(model : Union[Model, str],
+ messages : Messages,
+ provider : Union[type[BaseProvider], None] = None,
+ stream : bool = False,
+ ignored : List[str] = None, **kwargs) -> str:
if stream:
raise ValueError(f'"create_async" does not support "stream" argument')
@@ -90,17 +87,13 @@ class ChatCompletion:
return await provider.create_async(model.name, messages, **kwargs)
-
class Completion:
@staticmethod
- def create(
- model: str,
- prompt: str,
- provider: Union[type[BaseProvider], None] = None,
- stream: bool = False,
- ignored : List[str] = None,
- **kwargs
- ) -> Union[CreateResult, str]:
+ def create(model : Union[Model, str],
+ prompt : str,
+ provider : Union[type[BaseProvider], None] = None,
+ stream : bool = False,
+ ignored : List[str] = None, **kwargs) -> Union[CreateResult, str]:
allowed_models = [
'code-davinci-002',
diff --git a/g4f/gui/client/html/index.html b/g4f/gui/client/html/index.html
index ae5519e6..d6715ede 100644
--- a/g4f/gui/client/html/index.html
+++ b/g4f/gui/client/html/index.html
@@ -117,14 +117,7 @@
</div>
<div class="field">
<select name="model" id="model">
- <option value="gpt-3.5-turbo" selected>gpt-3.5</option>
- <option value="gpt-3.5-turbo-0613">gpt-3.5 fast</option>
- <option value="gpt-3.5-turbo-16k">gpt-3.5 16k</option>
- <option value="gpt-3.5-turbo-16k-0613">gpt-3.5 16k fast</option>
- <option value="gpt-4">gpt-4</option>
- <option value="gpt-4-0613">gpt-4 fast</option>
- <option value="gpt-4-32k">gpt-4 32k</option>
- <option value="gpt-4-32k-0613">gpt-4 32k fast</option>
+ <option value="gpt-3.5-turbo" selected>gpt-3.5-turbo</option>
</select>
</div>
<div class="field">
diff --git a/g4f/gui/client/js/chat.v2.js b/g4f/gui/client/js/chat.v2.js
index f052b7e6..03c3a87a 100644
--- a/g4f/gui/client/js/chat.v2.js
+++ b/g4f/gui/client/js/chat.v2.js
@@ -1,13 +1,12 @@
-const query = (obj) => Object.keys(obj).map((k) => encodeURIComponent(k) + "=" + encodeURIComponent(obj[k])).join("&");
-const colorThemes = document.querySelectorAll('[name="theme"]');
-const markdown = window.markdownit();
-const message_box = document.getElementById(`messages`);
-const message_input = document.getElementById(`message-input`);
+const colorThemes = document.querySelectorAll('[name="theme"]');
+const markdown = window.markdownit();
+const message_box = document.getElementById(`messages`);
+const message_input = document.getElementById(`message-input`);
const box_conversations = document.querySelector(`.top`);
-const spinner = box_conversations.querySelector(".spinner");
-const stop_generating = document.querySelector(`.stop_generating`);
-const send_button = document.querySelector(`#send-button`);
-let prompt_lock = false;
+const spinner = box_conversations.querySelector(".spinner");
+const stop_generating = document.querySelector(`.stop_generating`);
+const send_button = document.querySelector(`#send-button`);
+let prompt_lock = false;
hljs.addPlugin(new CopyButtonPlugin());
@@ -81,8 +80,6 @@ const ask_gpt = async (message) => {
</div>
`;
- /* .replace(/(?:\r\n|\r|\n)/g, '<br>') */
-
message_box.scrollTop = message_box.scrollHeight;
window.scrollTo(0, 0);
await new Promise((r) => setTimeout(r, 500));
@@ -108,10 +105,8 @@ const ask_gpt = async (message) => {
method: `POST`,
signal: window.controller.signal,
headers: {
- "content-type": `application/json`,
+ 'content-type': `application/json`,
accept: `text/event-stream`,
- // v: `1.0.0`,
- // ts: Date.now().toString(),
},
body: JSON.stringify({
conversation_id: window.conversation_id,
@@ -123,12 +118,12 @@ const ask_gpt = async (message) => {
id: window.token,
content: {
conversation: await get_conversation(window.conversation_id),
- internet_access: document.getElementById("switch").checked,
- content_type: "text",
+ internet_access: document.getElementById(`switch`).checked,
+ content_type: `text`,
parts: [
{
content: message,
- role: "user",
+ role: `user`,
},
],
},
@@ -146,8 +141,7 @@ const ask_gpt = async (message) => {
text += chunk;
- document.getElementById(`gpt_${window.token}`).innerHTML =
- markdown.render(text);
+ document.getElementById(`gpt_${window.token}`).innerHTML = markdown.render(text);
document.querySelectorAll(`code`).forEach((el) => {
hljs.highlightElement(el);
});
@@ -169,6 +163,7 @@ const ask_gpt = async (message) => {
await load_conversations(20, 0);
window.scrollTo(0, 0);
+
} catch (e) {
add_message(window.conversation_id, "user", message);
@@ -227,19 +222,19 @@ const show_option = async (conversation_id) => {
const yes = document.getElementById(`yes-${conversation_id}`);
const not = document.getElementById(`not-${conversation_id}`);
- conv.style.display = "none";
- yes.style.display = "block";
- not.style.display = "block";
+ conv.style.display = `none`;
+ yes.style.display = `block`;
+ not.style.display = `block`;
};
const hide_option = async (conversation_id) => {
const conv = document.getElementById(`conv-${conversation_id}`);
- const yes = document.getElementById(`yes-${conversation_id}`);
- const not = document.getElementById(`not-${conversation_id}`);
+ const yes = document.getElementById(`yes-${conversation_id}`);
+ const not = document.getElementById(`not-${conversation_id}`);
- conv.style.display = "block";
- yes.style.display = "none";
- not.style.display = "none";
+ conv.style.display = `block`;
+ yes.style.display = `none`;
+ not.style.display = `none`;
};
const delete_conversation = async (conversation_id) => {
@@ -272,7 +267,7 @@ const new_conversation = async () => {
await clear_conversation();
await load_conversations(20, 0, true);
- await make_announcement()
+ await say_hello()
};
const load_conversation = async (conversation_id) => {
@@ -287,15 +282,15 @@ const load_conversation = async (conversation_id) => {
<div class="user">
${item.role == "assistant" ? gpt_image : user_image}
${item.role == "assistant"
- ? `<i class="fa-regular fa-phone-arrow-down-left"></i>`
- : `<i class="fa-regular fa-phone-arrow-up-right"></i>`
- }
+ ? `<i class="fa-regular fa-phone-arrow-down-left"></i>`
+ : `<i class="fa-regular fa-phone-arrow-up-right"></i>`
+ }
</div>
<div class="content">
${item.role == "assistant"
- ? markdown.render(item.content)
- : item.content
- }
+ ? markdown.render(item.content)
+ : item.content
+ }
</div>
</div>
`;
@@ -351,13 +346,10 @@ const add_message = async (conversation_id, role, content) => {
localStorage.setItem(
`conversation:${conversation_id}`,
JSON.stringify(before_adding)
- ); // update conversation
+ );
};
const load_conversations = async (limit, offset, loader) => {
- //console.log(loader);
- //if (loader === undefined) box_conversations.appendChild(spinner);
-
let conversations = [];
for (let i = 0; i < localStorage.length; i++) {
if (localStorage.key(i).startsWith("conversation:")) {
@@ -366,7 +358,6 @@ const load_conversations = async (limit, offset, loader) => {
}
}
- //if (loader === undefined) spinner.parentNode.removeChild(spinner)
await clear_conversations();
for (conversation of conversations) {
@@ -393,17 +384,6 @@ document.getElementById(`cancelButton`).addEventListener(`click`, async () => {
console.log(`aborted ${window.conversation_id}`);
});
-function h2a(str1) {
- var hex = str1.toString();
- var str = "";
-
- for (var n = 0; n < hex.length; n += 2) {
- str += String.fromCharCode(parseInt(hex.substr(n, 2), 16));
- }
-
- return str;
-}
-
const uuid = () => {
return `xxxxxxxx-xxxx-4xxx-yxxx-${Date.now().toString(16)}`.replace(
/[xy]/g,
@@ -476,7 +456,7 @@ const load_settings_localstorage = async () => {
});
};
-const make_announcement = async () => {
+const say_hello = async () => {
tokens = [`Hello`, `!`, ` How`,` can`, ` I`,` assist`,` you`,` today`,`?`]
message_box.innerHTML += `
@@ -569,8 +549,9 @@ window.onload = async () => {
await load_conversation(window.conversation_id);
}
}
-
- await make_announcement()
+
+ await load_models();
+ await say_hello()
message_input.addEventListener(`keydown`, async (evt) => {
if (prompt_lock) return;
@@ -612,4 +593,22 @@ const observer = new MutationObserver((mutationsList) => {
}
});
-observer.observe(message_input, { attributes: true }); \ No newline at end of file
+observer.observe(message_input, { attributes: true });
+
+
+const load_models = async () => {
+ response = await fetch('/backend-api/v2/models')
+ models = await response.json()
+
+ var MODELS_SELECT = document.getElementById('model');
+
+ for (model of models) {
+
+ // Create new option elements
+ var model_info = document.createElement('option');
+ model_info.value = model
+ model_info.text = model
+
+ MODELS_SELECT.appendChild(model_info);
+ }
+} \ No newline at end of file
diff --git a/g4f/gui/server/backend.py b/g4f/gui/server/backend.py
index cacc57d8..714609f6 100644
--- a/g4f/gui/server/backend.py
+++ b/g4f/gui/server/backend.py
@@ -24,9 +24,12 @@ class Backend_Api:
'methods': ['POST']
},
}
-
+
def models(self):
- return {}
+ models = g4f._all_models
+ models.remove('oasst-sft-4-pythia-12b-epoch-3.5')
+
+ return models
def _gen_title(self):
return {
diff --git a/g4f/models.py b/g4f/models.py
index d7c29ccb..b34297f5 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -37,6 +37,10 @@ class Model:
name: str
base_provider: str
best_provider: Union[type[BaseProvider], RetryProvider] = None
+
+ @staticmethod
+ def __all__() -> list[str]:
+ return _all_models
default = Model(
name = "",
@@ -231,6 +235,11 @@ llama7b_v2_chat = Model(
base_provider = 'replicate',
best_provider = Vercel)
+llama70b_v2_chat = Model(
+ name = 'replicate/llama70b-v2-chat',
+ base_provider = 'replicate',
+ best_provider = Vercel)
+
class ModelUtils:
convert: dict[str, Model] = {
@@ -260,9 +269,9 @@ class ModelUtils:
'llama-13b' : llama_13b,
# Vercel
- 'claude-instant-v1' : claude_instant_v1,
- 'claude-v1' : claude_v1,
- 'claude-v2' : claude_v2,
+ #'claude-instant-v1' : claude_instant_v1,
+ #'claude-v1' : claude_v1,
+ #'claude-v2' : claude_v2,
'command-nightly' : command_nightly,
'gpt-neox-20b' : gpt_neox_20b,
'santacoder' : santacoder,
@@ -274,6 +283,7 @@ class ModelUtils:
'text-curie-001' : text_curie_001,
'text-davinci-002' : text_davinci_002,
'text-davinci-003' : text_davinci_003,
+ 'llama70b-v2-chat' : llama70b_v2_chat,
'llama13b-v2-chat' : llama13b_v2_chat,
'llama7b-v2-chat' : llama7b_v2_chat,
@@ -281,3 +291,5 @@ class ModelUtils:
'oasst-sft-4-pythia-12b-epoch-3.5' : oasst_sft_4_pythia_12b_epoch_35,
'command-light-nightly' : command_light_nightly,
}
+
+_all_models = list(ModelUtils.convert.keys()) \ No newline at end of file