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assets/custom.js

@@ -160,7 +160,7 @@ function showOrHideUserInfo() {
 }
 
 function toggleDarkMode(isEnabled) {
-    if (isEnabled) {
+    if (!isEnabled) {
         gradioContainer.classList.add("dark");
         document.body.style.setProperty("background-color", "var(--neutral-950)", "important");
     } else {

index/main.json

@@ -0,0 +1 @@
+{"index_struct": {"__type__": "simple_dict", "__data__": {"index_id": "dbc618b1-c2c6-4ba2-b3c8-abecf941d79f", "summary": null, "nodes_dict": {"8ba9a62b-7f42-4205-ba1c-15ed4a920312": "8ba9a62b-7f42-4205-ba1c-15ed4a920312"}, "doc_id_dict": {"66334fd4-64ab-48cd-a8fc-cfce16148644": ["8ba9a62b-7f42-4205-ba1c-15ed4a920312"]}, "embeddings_dict": {}}}, "docstore": {"docs": {"8ba9a62b-7f42-4205-ba1c-15ed4a920312": {"text": "\ufeffQuestion,Answer\nMaxis / Hotlink boleh guna tak ?,Maxis/Hotlink Perlu subs maxis tv plan rm18 (tanpa had) dekat https://tv.maxis.com.my\nMaxis Or Hotlink Can Bypass?,\nMaxis/Hotlink tanpa langganan boleh guna bypass itu ?,\nMaxis/Hotlink unlimited data plan boleh guna tak ?,\n,\n###,\n,\n\"Maxis/Hotlink unlimited data saya sudah FUP, boleh bypass ?\",tak boleh bypass FUP\n\"Maxis/Hotlink sudah FUP, boleh bypass ?\",\nMaxis/Hotlink already FUP can bypass ?,\n\"Maxis/Hotlink FUP, can bypass ?\",\n,\n###,\n,\nDekat mana boleh subscribe maxis tv?,\"https://tv.maxis.com.my , Goto >> Offers >> Multi-Pass >> RM18, Kalau takde plan RM18 itu maksud tak support.\"\nmana boleh subs maxis tv?,\nmaxis tv plan itu subcribe dekat mana tu?,\nboleh terangkan maxis tv nak subscribe dekat mana tak?,\n,\n###,\n,\nCelcom boleh dapat bypass?,Celcom perlu subscribe rm35/rm12 3Mbps To use the config for bypass 3mbps capped.\nCelcom can bypass?,\nCelcom need to subscribe what plan to bypass?,\nCelcom subs what plan,\nCelcom boleh guna tak?,\n", "doc_id": "8ba9a62b-7f42-4205-ba1c-15ed4a920312", "embedding": null, "doc_hash": "5b41f391d121ddddfb91610d945408479183cba6b613b4a7605b1c2e91c87c9a", "extra_info": null, "node_info": {"start": 0, "end": 999}, "relationships": {"1": "66334fd4-64ab-48cd-a8fc-cfce16148644"}, "__type__": "1"}}, "ref_doc_info": {"66334fd4-64ab-48cd-a8fc-cfce16148644": {"doc_hash": "5b41f391d121ddddfb91610d945408479183cba6b613b4a7605b1c2e91c87c9a"}, "8ba9a62b-7f42-4205-ba1c-15ed4a920312": {"doc_hash": "5b41f391d121ddddfb91610d945408479183cba6b613b4a7605b1c2e91c87c9a"}}}, "vector_store": {"__type__": "simple", "__data__": {"simple_vector_store_data_dict": {"embedding_dict": {"8ba9a62b-7f42-4205-ba1c-15ed4a920312": [-0.01307397335767746, -0.0027875970117747784, 0.006309362594038248, -0.04324221611022949, -0.015145034529268742, 0.008040590211749077, -0.016876261681318283, -0.030264422297477722, -0.021274862810969353, -0.018620314076542854, 0.024160241708159447, 0.022762436419725418, -0.02141592651605606, -0.009188329800963402, -0.012227595783770084, 0.009598694741725922, 0.02122356742620468, 0.0016390556702390313, 0.035804349929094315, -0.009367864578962326, -0.0034656610805541277, 0.028699904680252075, -0.0006624349625781178, -0.0018001560820266604, -0.015555399470031261, -0.003952969331294298, 0.009515339508652687, -0.010496368631720543, -0.0068030827678740025, -0.002922247862443328, 0.02716103568673134, 0.0013881879858672619, -0.006020824424922466, -0.010855438187718391, 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"text_id_to_doc_id": {"8ba9a62b-7f42-4205-ba1c-15ed4a920312": "66334fd4-64ab-48cd-a8fc-cfce16148644"}}}}}

locale/en_US.json

@@ -44,7 +44,7 @@
     "代理地址（示例：http://127.0.0.1:10809）": "Proxy address (example: http://127.0.0.1:10809）",
     "🔄 设置代理地址": "🔄 Set Proxy Address",
     "🔙 恢复默认设置": "🔙 Restore Default Settings",
-    "川虎Chat 🚀": "Chuanhu Chat 🚀",
+    "川虎Chat 🚀": "MTYB Chat 🤖",
     "开始实时传输回答……": "Start streaming output...",
     "Token 计数: ": "Token Count: ",
     "，本次对话累计消耗了 ": "，Total cost for this dialogue is ",
@@ -64,7 +64,7 @@
     "API key为空，请检查是否输入正确。": "API key is empty, check whether it is entered correctly.",
     "请输入对话内容。": "Enter the content of the conversation.",
     "账单信息不适用": "Billing information is not applicable",
-    "由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发<br />访问川虎Chat的 [GitHub项目](https://github.com/GaiZhenbiao/ChuanhuChatGPT) 下载最新版脚本": "developor: Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) and [明昭MZhao](https://space.bilibili.com/24807452)\n\nDownload latest code from [GitHub](https://github.com/GaiZhenbiao/ChuanhuChatGPT)",
+    "由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发<br />访问川虎Chat的 [GitHub项目](https://github.com/GaiZhenbiao/ChuanhuChatGPT) 下载最新版脚本": "Official Store: [MTYB Shopee](https://shopee.com.my/mtyb_official)",
     "切换亮暗色主题": "Switch light/dark theme",
     "您的IP区域：未知。": "Your IP region: Unknown.",
     "获取IP地理位置失败。原因：": "Failed to get IP location. Reason: ",

modules/base_model.py

@@ -169,11 +169,12 @@ class BaseLLMModel:
         return chatbot, status_text
 
     def handle_file_upload(self, files, chatbot):
+        print(files)
         """if the model accepts multi modal input, implement this function"""
         status = gr.Markdown.update()
-        if files:
-            construct_index(self.api_key, file_src=files)
-            status = "索引构建完成"
+        construct_index(self.api_key, file_src=files)
+        status = "索引构建完成"
+        
         return gr.Files.update(), chatbot, status
 
     def prepare_inputs(self, real_inputs, use_websearch, files, reply_language, chatbot):
@@ -181,61 +182,63 @@ class BaseLLMModel:
         display_append = []
         limited_context = False
         fake_inputs = real_inputs
-        if files:
-            from llama_index.indices.vector_store.base_query import GPTVectorStoreIndexQuery
-            from llama_index.indices.query.schema import QueryBundle
-            from langchain.embeddings.huggingface import HuggingFaceEmbeddings
-            from langchain.chat_models import ChatOpenAI
-            from llama_index import (
-                GPTSimpleVectorIndex,
-                ServiceContext,
-                LangchainEmbedding,
-                OpenAIEmbedding,
+        
+        from llama_index.indices.vector_store.base_query import GPTVectorStoreIndexQuery
+        from llama_index.indices.query.schema import QueryBundle
+        from langchain.embeddings.huggingface import HuggingFaceEmbeddings
+        from langchain.chat_models import ChatOpenAI
+        from llama_index import (
+            GPTSimpleVectorIndex,
+            ServiceContext,
+            LangchainEmbedding,
+            OpenAIEmbedding,
+        )
+        limited_context = True
+        msg = "加载索引中……"
+        logging.info(msg)
+        # yield chatbot + [(inputs, "")], msg
+        index = construct_index(self.api_key, file_src=files)
+        assert index is not None, "获取索引失败"
+        msg = "索引获取成功，生成回答中……"
+        logging.info(msg)
+        if local_embedding or self.model_type != ModelType.OpenAI:
+            embed_model = LangchainEmbedding(HuggingFaceEmbeddings())
+        else:
+            embed_model = OpenAIEmbedding()
+        # yield chatbot + [(inputs, "")], msg
+        with retrieve_proxy():
+            prompt_helper = PromptHelper(
+                max_input_size=4096,
+                num_output=5,
+                max_chunk_overlap=20,
+                chunk_size_limit=600,
             )
-            limited_context = True
-            msg = "加载索引中……"
-            logging.info(msg)
-            # yield chatbot + [(inputs, "")], msg
-            index = construct_index(self.api_key, file_src=files)
-            assert index is not None, "获取索引失败"
-            msg = "索引获取成功，生成回答中……"
-            logging.info(msg)
-            if local_embedding or self.model_type != ModelType.OpenAI:
-                embed_model = LangchainEmbedding(HuggingFaceEmbeddings())
-            else:
-                embed_model = OpenAIEmbedding()
-            # yield chatbot + [(inputs, "")], msg
-            with retrieve_proxy():
-                prompt_helper = PromptHelper(
-                    max_input_size=4096,
-                    num_output=5,
-                    max_chunk_overlap=20,
-                    chunk_size_limit=600,
-                )
-                from llama_index import ServiceContext
+            from llama_index import ServiceContext
 
-                service_context = ServiceContext.from_defaults(
-                    prompt_helper=prompt_helper, embed_model=embed_model
-                )
-                query_object = GPTVectorStoreIndexQuery(
-                    index.index_struct,
-                    service_context=service_context,
-                    similarity_top_k=5,
-                    vector_store=index._vector_store,
-                    docstore=index._docstore,
-                )
-                query_bundle = QueryBundle(real_inputs)
-                nodes = query_object.retrieve(query_bundle)
-            reference_results = [n.node.text for n in nodes]
-            reference_results = add_source_numbers(reference_results, use_source=False)
-            display_append = add_details(reference_results)
-            display_append = "\n\n" + "".join(display_append)
-            real_inputs = (
-                replace_today(PROMPT_TEMPLATE)
-                .replace("{query_str}", real_inputs)
-                .replace("{context_str}", "\n\n".join(reference_results))
-                .replace("{reply_language}", reply_language)
+            service_context = ServiceContext.from_defaults(
+                prompt_helper=prompt_helper, embed_model=embed_model
+            )
+            query_object = GPTVectorStoreIndexQuery(
+                index.index_struct,
+                service_context=service_context,
+                similarity_top_k=5,
+                vector_store=index._vector_store,
+                docstore=index._docstore,
             )
+            query_bundle = QueryBundle(real_inputs)
+            nodes = query_object.retrieve(query_bundle)
+        reference_results = [n.node.text for n in nodes]
+        reference_results = add_source_numbers(reference_results, use_source=False)
+        display_append = add_details(reference_results)
+        display_append = "\n\n" + "".join(display_append)
+        real_inputs = (
+            replace_today(PROMPT_TEMPLATE)
+            .replace("{query_str}", real_inputs)
+            .replace("{context_str}", "\n\n".join(reference_results))
+            .replace("{reply_language}", reply_language)
+        )
+        if files:
+            print("MIAO MIAO")
         elif use_websearch:
             limited_context = True
             search_results = ddg(real_inputs, max_results=5)
@@ -245,10 +248,11 @@ class BaseLLMModel:
                 domain_name = urllib3.util.parse_url(result["href"]).host
                 reference_results.append([result["body"], result["href"]])
                 display_append.append(
-                    f"{idx+1}. [{domain_name}]({result['href']})\n"
+                    # f"{idx+1}. [{domain_name}]({result['href']})\n"
+                    f"<li><a href=\"{result['href']}\" target=\"_blank\">{domain_name}</a></li>\n"
                 )
             reference_results = add_source_numbers(reference_results)
-            display_append = "\n\n" + "".join(display_append)
+            display_append = "<ol>\n\n" + "".join(display_append) + "</ol>"
             real_inputs = (
                 replace_today(WEBSEARCH_PTOMPT_TEMPLATE)
                 .replace("{query}", real_inputs)
@@ -463,9 +467,9 @@ class BaseLLMModel:
 
     def set_key(self, new_access_key):
         self.api_key = new_access_key.strip()
-        msg = f"API密钥更改为了{hide_middle_chars(self.api_key)}"
+        msg = i18n("API密钥更改为了") + hide_middle_chars(self.api_key)
         logging.info(msg)
-        return new_access_key, msg
+        return self.api_key, msg
 
     def set_single_turn(self, new_single_turn):
         self.single_turn = new_single_turn

modules/config.py

@@ -31,10 +31,8 @@ if os.path.exists("config.json"):
         config = json.load(f)
 else:
     config = {}
-
-language = config.get("language", "auto") # 在这里输入你的 API 密钥
-language = os.environ.get("LANGUAGE", language)
-
+    
+language = config.get("language", "auto")
 
 if os.path.exists("api_key.txt"):
     logging.info("检测到api_key.txt文件，正在进行迁移...")
@@ -67,7 +65,7 @@ if os.environ.get("dockerrun") == "yes":
 
 ## 处理 api-key 以及 允许的用户列表
 my_api_key = config.get("openai_api_key", "") # 在这里输入你的 API 密钥
-my_api_key = os.environ.get("OPENAI_API_KEY", my_api_key)
+my_api_key = os.environ.get("my_api_key", my_api_key)
 
 ## 多账户机制
 multi_api_key = config.get("multi_api_key", False) # 是否开启多账户机制

modules/llama_func.py

@@ -103,7 +103,7 @@ def construct_index(
     max_chunk_overlap=20,
     chunk_size_limit=600,
     embedding_limit=None,
-    separator=" ",
+    separator="###",
 ):
     from langchain.chat_models import ChatOpenAI
     from langchain.embeddings.huggingface import HuggingFaceEmbeddings
@@ -123,10 +123,13 @@ def construct_index(
         num_output=num_outputs,
         max_chunk_overlap=max_chunk_overlap,
         embedding_limit=embedding_limit,
-        chunk_size_limit=600,
+        chunk_size_limit=200,
         separator=separator,
     )
-    index_name = get_index_name(file_src)
+    if (file_src == None):
+        index_name = "main"
+    else:
+        index_name = get_index_name(file_src)
     if os.path.exists(f"./index/{index_name}.json"):
         logging.info("找到了缓存的索引文件，加载中……")
         return GPTSimpleVectorIndex.load_from_disk(f"./index/{index_name}.json")

modules/presets.py

@@ -12,7 +12,7 @@ LLAMA_MODEL = None
 LLAMA_INFERENCER = None
 
 # ChatGPT 设置
-INITIAL_SYSTEM_PROMPT = "You are a helpful assistant."
+INITIAL_SYSTEM_PROMPT = "I want you to act as a document that I am having a conversation with. Your name is \"AI Assistant\". You will provide me with answers from the given info. If the answer is not included, say exactly \"Hmm, I am not sure.\" and stop after that. Refuse to answer any question not about the info. Never break character.Beautify the output and parenthesis () the URL links. Maximum 30 Words"
 API_HOST = "api.openai.com"
 COMPLETION_URL = "https://api.openai.com/v1/chat/completions"
 BALANCE_API_URL="https://api.openai.com/dashboard/billing/credit_grants"
@@ -36,13 +36,13 @@ BILLING_NOT_APPLICABLE_MSG = i18n("账单信息不适用") # 本地运行的模
 TIMEOUT_STREAMING = 60  # 流式对话时的超时时间
 TIMEOUT_ALL = 200  # 非流式对话时的超时时间
 ENABLE_STREAMING_OPTION = True  # 是否启用选择选择是否实时显示回答的勾选框
-HIDE_MY_KEY = False  # 如果你想在UI中隐藏你的 API 密钥，将此值设置为 True
+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
 CONCURRENT_COUNT = 100 # 允许同时使用的用户数量
 
 SIM_K = 5
 INDEX_QUERY_TEMPRATURE = 1.0
 
-CHUANHU_TITLE = i18n("川虎Chat 🚀")
+CHUANHU_TITLE = i18n("MTYB ChatBot 🤖")
 
 CHUANHU_DESCRIPTION = i18n("由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发<br />访问川虎Chat的 [GitHub项目](https://github.com/GaiZhenbiao/ChuanhuChatGPT) 下载最新版脚本")
 
@@ -96,8 +96,8 @@ for dir_name in os.listdir("models"):
             MODELS.append(dir_name)
 
 MODEL_TOKEN_LIMIT = {
-    "gpt-3.5-turbo": 4096,
-    "gpt-3.5-turbo-0301": 4096,
+    "gpt-3.5-turbo": 200,
+    "gpt-3.5-turbo-0301": 200,
     "gpt-4": 8192,
     "gpt-4-0314": 8192,
     "gpt-4-32k": 32768,
@@ -116,7 +116,7 @@ REPLY_LANGUAGES = [
     "Español",
     "Français",
     "Deutsch",
-    "跟随问题语言（不稳定）"
+    "Auto"
 ]
 
 

modules/utils.py

@@ -451,11 +451,11 @@ Error code: {result.returncode}""")
     result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, env=os.environ if custom_env is None else custom_env)
     if result.returncode != 0:
         message = f"""{errdesc or 'Error running command'}.
-Command: {command}
-Error code: {result.returncode}
-stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'}
-stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'}
-"""
+            Command: {command}
+            Error code: {result.returncode}
+            stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'}
+            stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'}
+            """
         raise RuntimeError(message)
     return result.stdout.decode(encoding="utf8", errors="ignore")
 
@@ -472,12 +472,8 @@ def versions_html():
     else:
         commit_info = "unknown \U0001F615"
     return f"""
-Python: <span title="{sys.version}">{python_version}</span>
- • 
-Gradio: {gr.__version__}
- • 
-Commit: {commit_info}
-"""
+        
+        """
 
 def add_source_numbers(lst, source_name = "Source", use_source = True):
     if use_source:

modules/webui_locale.py

@@ -9,8 +9,7 @@ class I18nAuto:
                 config = json.load(f)
         else:
             config = {}
-        language = config.get("language", "auto") # 在这里输入你的 API 密钥
-        language = os.environ.get("LANGUAGE", language)
+        language = config.get("language", "auto")
         if language == "auto":
             language = locale.getdefaultlocale()[0] # get the language code of the system (ex. zh_CN)
         self.language_map = {}