Feature/ai translator with chat glm6 b int4

.gitignore

@@ -164,6 +164,7 @@ openai_api/data/fine_food_reviews_with_embeddings_1k_2146.csv
 # files of Vector Stores, e.g. Chroma
 *.pkl
 *.bin
+*.faiss
 
 langchain/openai-translator/flagged/*
 langchain/openai-translator/flask_temps/*

langchain/jupyter/homework/panxizhi/AutoGPTWebUI/main.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from run_autogpt import LCAutoGPTRunner
+
+def createAutoGPTUI():
+
+    with gr.Blocks() as demo:
+        #create a text box for user input , label is "Your task:"
+        #create a button to run the model, label is "Run"
+        #create a output box to display the output and download result file, label is "Output"
+        gr.Markdown(
+            """
+            # Hello AutoGPT!
+            ### Type your task in the box below and click "Run" to run the model.
+            """)
+        with gr.Row() as row:
+            task = gr.Textbox(lines=3, label="Your task:", min_width=300)
+            run = gr.Button(label="Run")
+        output = gr.File(label="Output")
+
+        def run_autoGPT(task):
+            #run the model and return the result
+            file = LCAutoGPTRunner().run(task)
+
+            return file
+
+        run.click(run_autoGPT, inputs=[task], outputs=[output])
+
+        demo.launch()
+
+
+
+if __name__ == "__main__":
+    createAutoGPTUI()

langchain/jupyter/homework/panxizhi/AutoGPTWebUI/requirements.txt

@@ -0,0 +1,5 @@
+langchain
+langchain_experimental
+openai
+gradio
+google-search-results

langchain/jupyter/homework/panxizhi/AutoGPTWebUI/run_autogpt.py

@@ -0,0 +1,58 @@
+import os
+import uuid
+import faiss
+
+from langchain.utilities import SerpAPIWrapper
+from langchain.agents import Tool
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.tools.file_management.write import WriteFileTool
+from langchain.tools.file_management.read import ReadFileTool
+from langchain.vectorstores import FAISS
+from langchain.docstore import InMemoryDocstore
+from langchain_experimental.autonomous_agents import AutoGPT
+from langchain.chat_models import ChatOpenAI
+
+os.environ["SERPAPI_API_KEY"] = "25409e23ca5020b5264e40a5e3594f50a7ef8ee912a35f86e7ef0fde598dbd7c"
+
+class LCAutoGPTRunner:
+    agent = None
+
+    def __init__(self):
+        # 构造 AutoGPT 的工具集
+        search = SerpAPIWrapper()
+        tools = [
+            Tool(
+                name="search",
+                func=search.run,
+                description="useful for when you need to answer questions about current events. You should ask targeted questions",
+            ),
+            WriteFileTool(),
+            ReadFileTool(),
+        ]
+
+        embeddings_model = OpenAIEmbeddings()
+
+        # OpenAI Embedding 向量维数
+        embedding_size = 1536
+        # 使用 Faiss 的 IndexFlatL2 索引
+        index = faiss.IndexFlatL2(embedding_size)
+        # 实例化 Faiss 向量数据库
+        vectorstore = FAISS(embeddings_model.embed_query, index, InMemoryDocstore({}), {})
+
+        agent = AutoGPT.from_llm_and_tools(
+            ai_name="Jarvis",
+            ai_role="Assistant",
+            tools=tools,
+            llm=ChatOpenAI(temperature=0),
+            memory=vectorstore.as_retriever(), # 实例化 Faiss 的 VectorStoreRetriever
+        )
+        agent.chain.verbose = True
+        self.agent = agent
+
+    def run(self, task):
+        #run the model and return the result
+        rand = uuid.uuid4()
+        tasks = [f'{task} Then write file to "result-{rand}.txt"']
+        result = self.agent.run(tasks)
+        print(f'AutoGPT result: {result}')
+        return f"result-{rand}.txt"