Changes

app.py

@@ -0,0 +1,351 @@
+import json
+import gradio as gr
+import os
+import sys
+import requests
+import csv
+
+my_api_key = os.environ.get('MY_API_KEY')  # 在这里输入你的 API 密钥
+HIDE_MY_KEY = True  # 如果你想在UI中隐藏你的 API 密钥，将此值设置为 True
+
+initial_prompt = "You are a helpful assistant."
+API_URL = "https://api.openai.com/v1/chat/completions"
+HISTORY_DIR = "history"
+TEMPLATES_DIR = "templates"
+login_username = os.environ.get('LOGIN_USERNAME')
+login_password = os.environ.get('LOGIN_PASSWORD')
+
+# if we are running in Docker
+if os.environ.get('dockerrun') == 'yes':
+    dockerflag = True
+else:
+    dockerflag = False
+
+if dockerflag:
+    my_api_key = os.environ.get('my_api_key')
+    if my_api_key == "empty":
+        print("Please give a api key!")
+        sys.exit(1)
+    # auth
+    username = os.environ.get('USERNAME')
+    password = os.environ.get('PASSWORD')
+    if isinstance(username, type(None)) or isinstance(password, type(None)):
+        authflag = False
+    else:
+        authflag = True
+
+
+def parse_text(text):
+    lines = text.split("\n")
+    lines = [line for line in lines if line != ""]
+    count = 0
+    firstline = False
+    for i, line in enumerate(lines):
+        if "```" in line:
+            count += 1
+            items = line.split('`')
+            if count % 2 == 1:
+                lines[
+                    i] = f'<pre><code class="{items[-1]}" style="display: block; white-space: pre; padding: 0 1em 1em 1em; color: #fff; background: #000;">'
+                firstline = True
+            else:
+                lines[i] = f'</code></pre>'
+        else:
+            if i > 0:
+                if count % 2 == 1:
+                    line = line.replace("&", "&amp;")
+                    line = line.replace("\"", "`\"`")
+                    line = line.replace("\'", "`\'`")
+                    line = line.replace("<", "&lt;")
+                    line = line.replace(">", "&gt;")
+                    line = line.replace(" ", "&nbsp;")
+                    line = line.replace("*", "&ast;")
+                    line = line.replace("_", "&lowbar;")
+                    line = line.replace("#", "&#35;")
+                    line = line.replace("-", "&#45;")
+                    line = line.replace(".", "&#46;")
+                    line = line.replace("!", "&#33;")
+                    line = line.replace("(", "&#40;")
+                    line = line.replace(")", "&#41;")
+                lines[i] = "<br>" + line
+    text = "".join(lines)
+    return text
+
+
+def predict(inputs, top_p, temperature, openai_api_key, chatbot=[], history=[], system_prompt=initial_prompt,
+            retry=False, summary=False):  # repetition_penalty, top_k
+
+    print(f"chatbot 1: {chatbot}")
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {openai_api_key}"
+    }
+
+    chat_counter = len(history) // 2
+
+    print(f"chat_counter - {chat_counter}")
+
+    messages = [compose_system(system_prompt)]
+    if chat_counter:
+        for data in chatbot:
+            temp1 = {}
+            temp1["role"] = "user"
+            temp1["content"] = data[0]
+            temp2 = {}
+            temp2["role"] = "assistant"
+            temp2["content"] = data[1]
+            if temp1["content"] != "":
+                messages.append(temp1)
+                messages.append(temp2)
+            else:
+                messages[-1]['content'] = temp2['content']
+    if retry and chat_counter:
+        messages.pop()
+    elif summary:
+        messages.append(compose_user(
+            "请帮我总结一下上述对话的内容，实现减少字数的同时，保证对话的质量。在总结中不要加入这一句话。"))
+        history = ["我们刚刚聊了什么？"]
+    else:
+        temp3 = {}
+        temp3["role"] = "user"
+        temp3["content"] = inputs
+        messages.append(temp3)
+        chat_counter += 1
+    # messages
+    payload = {
+        "model": "gpt-3.5-turbo",
+        "messages": messages,  # [{"role": "user", "content": f"{inputs}"}],
+        "temperature": temperature,  # 1.0,
+        "top_p": top_p,  # 1.0,
+        "n": 1,
+        "stream": True,
+        "presence_penalty": 0,
+        "frequency_penalty": 0,
+    }
+
+    if not summary:
+        history.append(inputs)
+    print(f"payload is - {payload}")
+    # make a POST request to the API endpoint using the requests.post method, passing in stream=True
+    response = requests.post(API_URL, headers=headers, json=payload, stream=True, proxies=proxies)
+    # response = requests.post(API_URL, headers=headers, json=payload, stream=True)
+
+    token_counter = 0
+    partial_words = ""
+
+    counter = 0
+    chatbot.append((history[-1], ""))
+    for chunk in response.iter_lines():
+        if counter == 0:
+            counter += 1
+            continue
+        counter += 1
+        # check whether each line is non-empty
+        if chunk:
+            # decode each line as response data is in bytes
+            try:
+                if len(json.loads(chunk.decode()[6:])['choices'][0]["delta"]) == 0:
+                    break
+            except Exception as e:
+                chatbot.pop()
+                chatbot.append((history[-1], f"☹️发生了错误<br>返回值：{response.text}<br>异常：{e}"))
+                history.pop()
+                yield chatbot, history
+                break
+            # print(json.loads(chunk.decode()[6:])['choices'][0]["delta"]    ["content"])
+            partial_words = partial_words + \
+                            json.loads(chunk.decode()[6:])[
+                                'choices'][0]["delta"]["content"]
+            if token_counter == 0:
+                history.append(" " + partial_words)
+            else:
+                history[-1] = parse_text(partial_words)
+            chatbot[-1] = (history[-2], history[-1])
+            #   chat = [(history[i], history[i + 1]) for i in range(0, len(history)     - 1, 2) ]  # convert to tuples of list
+            token_counter += 1
+            # resembles {chatbot: chat,     state: history}
+            yield chatbot, history
+
+
+def delete_last_conversation(chatbot, history):
+    chatbot.pop()
+    history.pop()
+    history.pop()
+    return chatbot, history
+
+
+def save_chat_history(filename, system, history, chatbot):
+    if filename == "":
+        return
+    if not filename.endswith(".json"):
+        filename += ".json"
+    os.makedirs(HISTORY_DIR, exist_ok=True)
+    json_s = {"system": system, "history": history, "chatbot": chatbot}
+    with open(os.path.join(HISTORY_DIR, filename), "w") as f:
+        json.dump(json_s, f)
+
+
+def load_chat_history(filename):
+    with open(os.path.join(HISTORY_DIR, filename), "r") as f:
+        json_s = json.load(f)
+    return filename, json_s["system"], json_s["history"], json_s["chatbot"]
+
+
+def get_file_names(dir, plain=False, filetype=".json"):
+    # find all json files in the current directory and return their names
+    try:
+        files = [f for f in os.listdir(dir) if f.endswith(filetype)]
+    except FileNotFoundError:
+        files = []
+    if plain:
+        return files
+    else:
+        return gr.Dropdown.update(choices=files)
+
+
+def get_history_names(plain=False):
+    return get_file_names(HISTORY_DIR, plain)
+
+
+def load_template(filename):
+    lines = []
+    with open(os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8") as csvfile:
+        reader = csv.reader(csvfile)
+        lines = list(reader)
+    lines = lines[1:]
+    return {row[0]: row[1] for row in lines}, gr.Dropdown.update(choices=[row[0] for row in lines])
+
+
+def get_template_names(plain=False):
+    return get_file_names(TEMPLATES_DIR, plain, filetype=".csv")
+
+
+def reset_state():
+    return [], []
+
+
+def compose_system(system_prompt):
+    return {"role": "system", "content": system_prompt}
+
+
+def compose_user(user_input):
+    return {"role": "user", "content": user_input}
+
+
+def reset_textbox():
+    return gr.update(value='')
+
+
+title = """<h1 align="center">ChatGPT 🚀</h1>"""
+description = """<div align=center>此App使用 `gpt-3.5-turbo` 大语言模型
+</div>
+"""
+with gr.Blocks() as demo:
+    gr.HTML(title)
+    keyTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入你的OpenAI API-key...",
+                        value=my_api_key, label="API Key", type="password", visible=not HIDE_MY_KEY).style(
+        container=True)
+    chatbot = gr.Chatbot()  # .style(color_map=("#1D51EE", "#585A5B"))
+    history = gr.State([])
+    promptTemplates = gr.State({})
+    TRUECOMSTANT = gr.State(True)
+    FALSECONSTANT = gr.State(False)
+    topic = gr.State("未命名对话历史记录")
+
+    with gr.Row():
+        with gr.Column(scale=12):
+            txt = gr.Textbox(show_label=False, placeholder="在这里输入").style(
+                container=False)
+        with gr.Column(min_width=50, scale=1):
+            submitBtn = gr.Button("🚀", variant="primary")
+    with gr.Row():
+        emptyBtn = gr.Button("🧹 新的对话")
+        retryBtn = gr.Button("🔄 重新生成")
+        delLastBtn = gr.Button("🗑️ 删除上条对话")
+        reduceTokenBtn = gr.Button("♻️ 总结对话")
+    systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入System Prompt...",
+                                 label="System prompt", value=initial_prompt).style(container=True)
+    with gr.Accordion(label="加载Prompt模板", open=False):
+        with gr.Column():
+            with gr.Row():
+                with gr.Column(scale=6):
+                    templateFileSelectDropdown = gr.Dropdown(label="选择Prompt模板集合文件（.csv）",
+                                                             choices=get_template_names(plain=True), multiselect=False)
+                with gr.Column(scale=1):
+                    templateRefreshBtn = gr.Button("🔄 刷新")
+                    templaeFileReadBtn = gr.Button("📂 读入模板")
+            with gr.Row():
+                with gr.Column(scale=6):
+                    templateSelectDropdown = gr.Dropdown(label="从Prompt模板中加载", choices=[], multiselect=False)
+                with gr.Column(scale=1):
+                    templateApplyBtn = gr.Button("⬇️ 应用")
+    with gr.Accordion(
+            label="保存/加载对话历史记录(在文本框中输入文件名，点击“保存对话”按钮，历史记录文件会被存储到Python文件旁边)",
+            open=False):
+        with gr.Column():
+            with gr.Row():
+                with gr.Column(scale=6):
+                    saveFileName = gr.Textbox(
+                        show_label=True, placeholder=f"在这里输入保存的文件名...", label="设置保存文件名",
+                        value="对话历史记录").style(container=True)
+                with gr.Column(scale=1):
+                    saveBtn = gr.Button("💾 保存对话")
+            with gr.Row():
+                with gr.Column(scale=6):
+                    historyFileSelectDropdown = gr.Dropdown(label="从列表中加载对话",
+                                                            choices=get_history_names(plain=True), multiselect=False)
+                with gr.Column(scale=1):
+                    historyRefreshBtn = gr.Button("🔄 刷新")
+                    historyReadBtn = gr.Button("📂 读入对话")
+    # inputs, top_p, temperature, top_k, repetition_penalty
+    with gr.Accordion("参数", open=False):
+        top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05,
+                          interactive=True, label="Top-p (nucleus sampling)", )
+        temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0,
+                                step=0.1, interactive=True, label="Temperature", )
+        # top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
+        # repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
+    gr.Markdown(description)
+
+    txt.submit(predict, [txt, top_p, temperature, keyTxt,
+                         chatbot, history, systemPromptTxt], [chatbot, history])
+    txt.submit(reset_textbox, [], [txt])
+    submitBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot,
+                              history, systemPromptTxt], [chatbot, history], show_progress=True)
+    submitBtn.click(reset_textbox, [], [txt])
+    emptyBtn.click(reset_state, outputs=[chatbot, history])
+    retryBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot, history,
+                             systemPromptTxt, TRUECOMSTANT], [chatbot, history], show_progress=True)
+    delLastBtn.click(delete_last_conversation, [chatbot, history], [
+        chatbot, history], show_progress=True)
+    reduceTokenBtn.click(predict, [txt, top_p, temperature, keyTxt, chatbot, history,
+                                   systemPromptTxt, FALSECONSTANT, TRUECOMSTANT], [chatbot, history],
+                         show_progress=True)
+    saveBtn.click(save_chat_history, [
+        saveFileName, systemPromptTxt, history, chatbot], None, show_progress=True)
+    saveBtn.click(get_history_names, None, [historyFileSelectDropdown])
+    historyRefreshBtn.click(get_history_names, None, [historyFileSelectDropdown])
+    historyReadBtn.click(load_chat_history, [historyFileSelectDropdown],
+                         [saveFileName, systemPromptTxt, history, chatbot], show_progress=True)
+    templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
+    templaeFileReadBtn.click(load_template, [templateFileSelectDropdown], [promptTemplates, templateSelectDropdown],
+                             show_progress=True)
+    templateApplyBtn.click(lambda x, y: x[y], [promptTemplates, templateSelectDropdown], [systemPromptTxt],
+                           show_progress=True)
+
+print("温馨提示：访问 http://localhost:7860 查看界面")
+# 默认开启本地服务器，默认可以直接从IP访问，默认不创建公开分享链接
+demo.title = "ChatGPT 🚀"
+
+# if running in Docker
+if dockerflag:
+    if authflag:
+        demo.queue().launch(server_name="0.0.0.0", server_port=7860, auth=(username, password))
+    else:
+        demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False)
+# if not running in Docker
+else:
+    # demo.queue().launch(share=False)  # 改为 share=True 可以创建公开分享链接
+    # demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
+    demo.queue().launch(server_name="0.0.0.0", server_port=7860, auth=(login_username, login_password))  # 可设置用户名与密码