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.gitignore

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+# created by virtualenv automatically
+*
+./venv 

ask.py

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+from langchain_groq import ChatGroq
+from langchain_core.prompts import ChatPromptTemplate
+from langchain.schema import StrOutputParser
+from langchain.schema.runnable import Runnable
+from langchain.schema.runnable.config import RunnableConfig
+from chainlit.input_widget import Select
+import chainlit as cl
+from typing import Optional
+
+    
+@cl.author_rename
+def rename(orig_author: str):
+    rename_dict = {"LLMMathChain": "Albert Einstein", "Chatbot": "Assistant"}
+    return rename_dict.get(orig_author, orig_author)
+
+@cl.on_chat_start
+async def on_chat_start():
+    
+    # Sending an image with the local file path
+    # elements = [
+    # cl.Image(name="image1", display="inline", path="groq.jpeg")
+    # ]
+    settings = await cl.ChatSettings(
+        [
+            Select(
+                id="Model",
+                label="OpenAI - Model",
+                values=["mixtral-8x7b-32768","llama2-70b-4096"],
+                initial_index=0,
+            )
+        ]
+    ).send()
+     
+    value = settings["Model"]
+
+    await cl.Message(content="Hello there, I am Groq. How can I help you ?").send()
+
+    model = ChatGroq(temperature=0,model_name=value,api_key="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")
+    prompt = ChatPromptTemplate.from_messages(
+        [
+            (
+                "system",
+                "You're a helpful assistant",
+            ),
+            ("human", "{question}"),
+        ]
+    )
+    runnable = prompt | model | StrOutputParser()
+    cl.user_session.set("runnable", runnable)
+
+
+@cl.on_message
+async def on_message(message: cl.Message):
+    runnable = cl.user_session.get("runnable")  # type: Runnable
+
+    msg = cl.Message(content="")
+
+    async for chunk in runnable.astream(
+        {"question": message.content},
+        config=RunnableConfig(callbacks=[cl.LangchainCallbackHandler()]),
+    ):
+        await msg.stream_token(chunk)
+
+    await msg.send()

chainlit.md

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+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.

requirements.txt

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+langchain-groq
+langchain
+chainlit
+openai