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app.py
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import requests
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import json
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import streamlit as st
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import os
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# Define the file path for the configuration file
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# file_path = 'config.json'
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# Open and read the contents of the JSON file
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# with open(file_path, 'r') as json_file:
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# creds = json.load(json_file)
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FIREWORKS_API_KEY = os.environ['FIREWORKS_API_KEY']
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def get_response(messages):
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"""
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Make a POST request and return the response content.
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:param messages: The list of messages to send in the body of the POST request.
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:return: The response content.
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"""
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url = "https://api.fireworks.ai/inference/v1/chat/completions"
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payload = {
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"model": "accounts/fireworks/models/llama-v3p1-8b-instruct",
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"max_tokens": 16384,
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"top_p": 1,
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"top_k": 40,
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"presence_penalty": 0,
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"frequency_penalty": 0,
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"temperature": 0.6,
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"messages": messages
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}
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headers = {
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"Accept": "application/json",
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"Content-Type": "application/json",
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"Authorization": f"Bearer {FIREWORKS_API_KEY}"
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}
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response = requests.post(url, headers=headers, data=json.dumps(payload))
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response.raise_for_status() # Raise an error for bad responses
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response_content = response.json()
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# print(response_content) # Debugging: print the response content
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return response_content['choices'][0]['message']['content']
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# Initialize chat history
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if "messages" not in st.session_state:
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st.session_state.messages = []
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# Display chat messages from history
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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# Accept user input
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if prompt := st.chat_input("What is up?"):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt})
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# Display user message in chat message container
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with st.chat_message("user"):
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st.markdown(prompt)
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# Prepare the request data
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request_data = {"model": "dolphin", "messages": st.session_state.messages}
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# Get response from fireworks.ai
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response_content = get_response(request_data["messages"])
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# Display assistant message in chat message container
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with st.chat_message("assistant"):
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st.markdown(response_content)
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response_content})
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