wp

app.py

@@ -84,7 +84,7 @@ def chat(inp, history, agent):
     return history, history, source_html
 
 
-with gr.Blocks(css=".gradio-container {background-color: lightgray}") as demo:
+with gr.Blocks() as demo:
 
     state = gr.State()
     agent_state = gr.State()
@@ -98,7 +98,7 @@ with gr.Blocks(css=".gradio-container {background-color: lightgray}") as demo:
     )
 
     sources = gr.HTML()
-    chatbot = gr.Chatbot()
+    chatbot = gr.Chatbot().style(color_map=("blue", "gray"))
     with gr.Row():
         message = gr.Textbox(
             label="What's your question?",

chain.py

@@ -67,11 +67,6 @@ def get_chain(vectorstore: FAISS) -> Chain:
     Standalone question:"""
 
     examples = [
-        {
-            "question": "What is the TokCast podcast?",
-            "chat_history": [],
-            "answer": "TokCast is a podcast about the philosophy of David Deutsch.",
-        },
         {
             "question": "Who is that?",
             "chat_history": "Human: What is the TokCast podcast?\nAssistant: TokCast is a podcast about the philosophy of David Deutsch.",
@@ -92,7 +87,7 @@ def get_chain(vectorstore: FAISS) -> Chain:
         input_variables=["question", "chat_history"],
     )
     llm = OpenAI(temperature=0, model_name="text-davinci-003")
-    key_word_extractor = LLMChain(llm=llm, prompt=prompt, verbose=True)
+    key_word_extractor = LLMChain(llm=llm, prompt=prompt)
 
     EXAMPLE_PROMPT = PromptTemplate(
         template="CONTENT:\n{page_content}\n----------\nSOURCE:\n{source}\n",