Delete gradio_langchain.py

gradio_langchain.py

@@ -1,96 +0,0 @@
-'''
-   gradio_langchain.py:
-   Assignment#8 - Lancgchain and gradio example
-'''
-
-import os
-from typing import Optional, Tuple
-
-import gradio as gr
-from langchain.chains import ConversationChain
-from langchain.llms import OpenAI
-from threading import Lock
-
-import openai
-
-"""Logic for loading the chain you want to use should go here."""
-def load_chain():
-    llm = OpenAI(temperature=0)
-    chain = ConversationChain(llm=llm)
-    return chain
-
-def set_openai_api_key(api_key: str):
-    """Set the api key and return chain. If no api_key, then None is returned."""
-
-    if api_key:
-        os.environ["OPENAI_API_KEY"] = api_key
-        chain = load_chain()
-        os.environ["OPENAI_API_KEY"] = ""
-        return chain
-
-class ChatWrapper:
-    """ main class to start chain, create / append history. it also acquires lock mechanism """
-
-    def __init__(self):
-        self.lock = Lock()
-    def __call__(
-        self, api_key: str, inp: str, history: Optional[Tuple[str, str]], chain: Optional[ConversationChain]
-    ):
-        """Execute the chat functionality."""
-        self.lock.acquire()
-        try:
-            history = history or []
-            # If chain is None, that is because no API key was provided.
-            if chain is None:
-                history.append((inp, "Please paste your OpenAI key to use"))
-                return history, history
-            # Set OpenAI key
-            
-            openai.api_key = api_key
-            # Run chain and append input.
-            output = chain.run(input=inp)
-            history.append((inp, output))
-        except Exception as e:
-            raise e
-        finally:
-            self.lock.release()
-        return history, history
-
-chat = ChatWrapper()
-
-block = gr.Blocks(css=".gradio-container {background-color: lightgray}")
-
-with block:
-    with gr.Row():
-        gr.Markdown("<h3><center>LangChain / Gradio example </center></h3>")
-
-        openai_api_key_textbox = gr.Textbox(
-            placeholder="Paste your OpenAI API key (sk-...)",
-            show_label=False,
-            lines=1,
-            type="password",
-        )
-
-    chatbot = gr.Chatbot()
-
-    with gr.Row():
-        message = gr.Textbox(
-            label="What's your question?",
-            placeholder="Please enter your question here",
-            lines=1,
-        )
-        submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
-
-    state = gr.State()
-    agent_state = gr.State()
-
-    submit.click(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state])
-    message.submit(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state])
-
-    openai_api_key_textbox.change(
-        set_openai_api_key,
-        inputs=[openai_api_key_textbox],
-        outputs=[agent_state],
-    )
-
-block.launch(debug=True)