Duplicate from hwchase17/langchain-demo

Co-authored-by: Harrison Chase <hwchase17@users.noreply.huggingface.co>

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README.md

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+---
+title: LangChain Demo
+colorFrom: purple
+colorTo: gray
+sdk: gradio
+sdk_version: 3.15.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: hwchase17/langchain-demo
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+from typing import Optional, Tuple
+
+import gradio as gr
+from langchain.chains import ConversationChain
+from langchain.llms import OpenAI
+
+
+def load_chain():
+    """Logic for loading the chain you want to use should go here."""
+    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
+
+
+def chat(
+    inp: str, history: Optional[Tuple[str, str]], chain: Optional[ConversationChain]
+):
+    """Execute the chat functionality."""
+    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
+    # Run chain and append input.
+    output = chain.run(input=inp)
+    history.append((inp, output))
+    return history, history
+
+
+block = gr.Blocks(css=".gradio-container {background-color: lightgray}")
+
+with block:
+    with gr.Row():
+        gr.Markdown("<h3><center>LangChain Demo</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="What's the answer to life, the universe, and everything?",
+            lines=1,
+        )
+        submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
+
+    gr.Examples(
+        examples=[
+            "Hi! How's it going?",
+            "What should I do tonight?",
+            "Whats 2 + 2?",
+        ],
+        inputs=message,
+    )
+
+    gr.HTML("Demo application of a LangChain chain.")
+
+    gr.HTML(
+        "<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>"
+    )
+
+    state = gr.State()
+    agent_state = gr.State()
+
+    submit.click(chat, inputs=[message, state, agent_state], outputs=[chatbot, state])
+    message.submit(chat, inputs=[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)

requirements.txt

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+openai
+gradio
+langchain