diff --git a/spaces/101-5/gpt4free/app.py b/spaces/101-5/gpt4free/app.py deleted file mode 100644 index 23e3a59d76381e8f30904722f52f1ac57285a006..0000000000000000000000000000000000000000 --- a/spaces/101-5/gpt4free/app.py +++ /dev/null @@ -1,172 +0,0 @@ -import g4f -import gradio as gr -from g4f.Provider import ( - Ails, - You, - Bing, - Yqcloud, - Theb, - Aichat, - Bard, - Vercel, - Forefront, - Lockchat, - Liaobots, - H2o, - ChatgptLogin, - DeepAi, - GetGpt -) -import os -import json -import pandas as pd - -from models_for_langchain.model import CustomLLM -from langchain.memory import ConversationBufferWindowMemory, ConversationTokenBufferMemory -from langchain import LLMChain, PromptTemplate -from langchain.prompts import ( - ChatPromptTemplate, - PromptTemplate, - SystemMessagePromptTemplate, - AIMessagePromptTemplate, - HumanMessagePromptTemplate, -) - -provider_dict = { - 'Ails': Ails, - 'You': You, - 'Bing': Bing, - 'Yqcloud': Yqcloud, - 'Theb': Theb, - 'Aichat': Aichat, - 'Bard': Bard, - 'Vercel': Vercel, - 'Forefront': Forefront, - 'Lockchat': Lockchat, - 'Liaobots': Liaobots, - 'H2o': H2o, - 'ChatgptLogin': ChatgptLogin, - 'DeepAi': DeepAi, - 'GetGpt': GetGpt -} - -prompt_set_list = {} -for prompt_file in os.listdir("prompt_set"): - key = prompt_file - if '.csv' in key: - df = pd.read_csv("prompt_set/" + prompt_file) - prompt_dict = dict(zip(df['act'], df['prompt'])) - else: - with open("prompt_set/" + prompt_file, encoding='utf-8') as f: - ds = json.load(f) - prompt_dict = {item["act"]: item["prompt"] for item in ds} - prompt_set_list[key] = prompt_dict - -with gr.Blocks() as demo: - llm = CustomLLM() - - template = """ - Chat with human based on following instructions: - ``` - {system_instruction} - ``` - The following is a conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know. - {{chat_history}} - Human: {{human_input}} - Chatbot:""" - - memory = ConversationBufferWindowMemory(k=10, memory_key="chat_history") - - chatbot = gr.Chatbot([], label='AI') - msg = gr.Textbox(value="", label='请输入：') - with gr.Row(): - clear = gr.Button("清空对话", scale=2) - chat_mode = gr.Checkbox(value=True, label='聊天模式', interactive=True, scale=1) - system_msg = gr.Textbox(value="你是一名助手，可以解答问题。", label='系统提示') - with gr.Row(): - default_prompt_set = "1 中文提示词.json" - prompt_set_name = gr.Dropdown(prompt_set_list.keys(), value=default_prompt_set, label='提示词集合') - prompt_name = gr.Dropdown(prompt_set_list[default_prompt_set].keys(), label='提示词', min_width=20) - with gr.Row(): - model_name = gr.Dropdown(['gpt-3.5-turbo', 'gpt-4'], value='gpt-3.5-turbo', label='模型') - provider_name = gr.Dropdown(provider_dict.keys(), value='GetGpt', label='提供者', min_width=20) - - def change_prompt_set(prompt_set_name): - return gr.Dropdown.update(choices=list(prompt_set_list[prompt_set_name].keys())) - - def change_prompt(prompt_set_name, prompt_name): - return gr.update(value=prompt_set_list[prompt_set_name][prompt_name]) - - def user(user_message, history = []): - return gr.update(value="", interactive=False), history + [[user_message, None]] - - def bot(history, model_name, provider_name, system_msg, chat_mode): - history[-1][1] = '' - if len(system_msg)>3000: - system_msg = system_msg[:2000] + system_msg[-1000:] - - if not chat_mode: - global template, memory - llm.model_name = model_name - llm.provider_name = provider_name - prompt = PromptTemplate( - input_variables=["chat_history", "human_input"], template=template.format(system_instruction=system_msg) - ) - llm_chain = LLMChain( - llm=llm, - prompt=prompt, - verbose=False, - memory=memory, - ) - bot_msg = llm_chain.run(history[-1][0]) - for c in bot_msg: - history[-1][1] += c - yield history - else: - prompt = """ - 请你仔细阅读以下提示，然后针对用户的话进行回答。 - 提示： - ``` - {} - ``` - 用户最新的话： - ``` - {} - ``` - 请回答： - """ - - # print(history) - messages = [] - for user_message, assistant_message in history[:-1]: - messages.append({"role": "user", "content": user_message}) - messages.append({"role": "assistant", "content": assistant_message}) - messages.append({"role": "user", "content": history[-1][0]}) - # print(messages) - - bot_msg = g4f.ChatCompletion.create( - model=model_name, - provider=provider_dict[provider_name], - messages=messages, - stream=True) - for c in bot_msg: - history[-1][1] += c - print(c, flush=True, end='') - yield history - - def empty_chat(): - global memory - memory = ConversationBufferWindowMemory(k=10, memory_key="chat_history") - return None - response = msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( - bot, [chatbot, model_name, provider_name, system_msg, chat_mode], chatbot - ) - prompt_set_name.select(change_prompt_set, prompt_set_name, prompt_name) - prompt_name.select(change_prompt, [prompt_set_name, prompt_name], system_msg) - - response.then(lambda: gr.update(interactive=True), None, [msg], queue=False) - clear.click(empty_chat, None, [chatbot], queue=False) - -demo.title = "AI Chat" -demo.queue() -demo.launch() \ No newline at end of file diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/ArcGIS 10.8 Full Crack Kuyhaa - A Powerful and Easy-to-Use GIS Software for Your PC.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/ArcGIS 10.8 Full Crack Kuyhaa - A Powerful and Easy-to-Use GIS Software for Your PC.md deleted file mode 100644 index bf2afbc972824af6e9a169057b10f692d563899a..0000000000000000000000000000000000000000 --- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/ArcGIS 10.8 Full Crack Kuyhaa - A Powerful and Easy-to-Use GIS Software for Your PC.md +++ /dev/null @@ -1,36 +0,0 @@ -
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