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app.py

@@ -1,20 +1,18 @@
-from langchain.chat_models import ChatOpenAI
-from langchain.schema import AIMessage, HumanMessage
-import openai
 import gradio as gr
-import os
+import time
 
-os.environ["OPENAI_API_KEY"] = "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"  # Replace with your key
+def echo(message, history, system_prompt, tokens):
+    response = f"System prompt: {system_prompt}\n Message: {message}."
+    for i in range(min(len(response), int(tokens))):
+        time.sleep(0.05)
+        yield response[: i+1]
 
-llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613')
+with gr.Blocks() as demo:
+    system_prompt = gr.Textbox("You are helpful AI.", label="System Prompt")
+    slider = gr.Slider(10, 100, render=False)
 
-def predict(message, history):
-    history_langchain_format = []
-    for human, ai in history:
-        history_langchain_format.append(HumanMessage(content=human))
-        history_langchain_format.append(AIMessage(content=ai))
-    history_langchain_format.append(HumanMessage(content=message))
-    gpt_response = llm(history_langchain_format)
-    return gpt_response.content
+    gr.ChatInterface(
+        echo, additional_inputs=[system_prompt, slider]
+    )
 
-gr.ChatInterface(predict).launch()
+demo.launch()