decodingdatascience commited on
Commit
fa6f4e9
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1 Parent(s): 54add07

Update app.py

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Files changed (1) hide show
  1. app.py +46 -46
app.py CHANGED
@@ -1,46 +1,46 @@
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-
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- # Install required packages
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-
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-
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- import os
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- import requests
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- import gradio as gr
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-
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- groq_api_key = os.getenv("GROQ_API_KEY")
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-
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-
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- # Define the URL for the Groq API endpoint
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- url = "https://api.groq.com/openai/v1/chat/completions"
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-
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- # Set the headers for the API request
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- headers = {
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- "Authorization": f"Bearer {groq_api_key}"
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- }
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-
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- # Function to interact with Groq API
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- def chat_with_groq(user_input):
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- body = {
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- "model": "llama-3.1-8b-instant",
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- "messages": [
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- {"role": "user", "content": user_input}
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- ]
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- }
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-
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- response = requests.post(url, headers=headers, json=body)
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-
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- if response.status_code == 200:
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- return response.json()['choices'][0]['message']['content']
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- else:
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- return f"Error: {response.json()}"
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-
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- # Create Gradio interface
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- interface = gr.Interface(
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- fn=chat_with_groq,
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- inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
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- outputs=gr.Textbox(),
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- title="DDS Free MasterClass",
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- description="Type your question below and get a response powered by Groq's Llama 3.1-8B model."
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- )
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-
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- # Launch Gradio app
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- interface.launch()
 
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+
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+ # Install required packages
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+
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+
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+ import os
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+ import requests
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+ import gradio as gr
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+
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+ groq_api_key = os.getenv("GROQ_API_KEY")
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+
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+
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+ # Define the URL for the Groq API endpoint
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+ url = "https://api.groq.com/openai/v1/chat/completions"
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+
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+ # Set the headers for the API request
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+ headers = {
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+ "Authorization": f"Bearer {groq_api_key}"
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+ }
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+
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+ # Function to interact with Groq API
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+ def chat_with_groq(user_input):
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+ body = {
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+ "model": "llama-3.1-8b-instant",
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+ "messages": [
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+ {"role": "user", "content": user_input}
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+ ]
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+ }
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+
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+ response = requests.post(url, headers=headers, json=body)
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+
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+ if response.status_code == 200:
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+ return response.json()['choices'][0]['message']['content']
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+ else:
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+ return f"Error: {response.json()}"
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+
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+ # Create Gradio interface
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+ interface = gr.Interface(
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+ fn=chat_with_groq,
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+ inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
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+ outputs=gr.Textbox(),
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+ title="Cohort 7 1st deployed app",
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+ description="Type your question below and get a response powered by Groq's Llama 3.1-8B model."
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+ )
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+
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+ # Launch Gradio app
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+ interface.launch()