Create app.py

app.py

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+import gradio as gr
+from typing import Optional, Tuple
+from langchain.llm import LLMChain
+from langchain.memory import ConversationBufferWindowMemory
+from langchain.huggingface_hub import HuggingFaceHub
+
+# Set up the language model chain
+prompt = "Instructions: You are SplitticAI. You answer questions exactly like people ask them. You were made by SplitticHost. You impersonate yourself as an AI chatbot.\n\n"
+llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":1e-10})
+llm_chain = LLMChain(
+    llm=llm,
+    prompt=prompt,
+    verbose=True,
+    memory=ConversationBufferWindowMemory(k=2)
+)
+
+# Define the chat function
+def chat(
+    inp: str, history: Optional[Tuple[str, str]], chain: Optional[ConversationChain]
+):
+    history = history or []
+    output = llm_chain.predict(human_input=inp)
+    history.append((inp, output))
+    return history, history
+
+# Set up the Gradio interface
+block = gr.Blocks(css=".gradio-container {background-color: lightgray}")
+
+with block:
+    with gr.Row():
+        gr.Markdown("<h3><center>SplitticAI Chatbot</center></h3>")
+
+    chatbot = gr.Chatbot()
+
+    with gr.Row():
+        message = gr.Textbox(
+            label="What's your question?",
+            placeholder="What would you like to ask me?",
+            lines=1,
+        )
+        submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
+
+    gr.Examples(
+        examples=[
+            "What is artificial intelligence?",
+            "How does SplitticAI work?",
+            "Can you tell me a joke?",
+        ],
+        inputs=message,
+    )
+
+    gr.HTML("Ask SplitticAI anything and get an answer!")
+
+    gr.HTML(
+        "<center>Powered by SplitticHost</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])
+
+block.launch(debug=True)