Update app.py
Browse files
app.py
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| 1 |
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import gradio as gr
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from openai import OpenAI
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from groq import Groq
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import os
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import time
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# Load API keys
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OPENAI_API_KEY = "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"
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GROQ_API_KEY = os.getenv("GROQ_API_KEY") # Retrieved from Spaces Secrets
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# Setup clients
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openai_client = OpenAI(api_key=OPENAI_API_KEY)
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groq_client = Groq(api_key=GROQ_API_KEY)
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# Define API query functions with error handling
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def query_openai(query):
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try:
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if not query or not isinstance(query, str):
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return "Error: Please provide a valid query"
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for attempt in range(3): # Retry up to 3 times for rate limits
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try:
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response = openai_client.chat.completions.create(
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model="gpt-3.5-turbo", # Using gpt-3.5-turbo as tested
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messages=[
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{"role": "system", "content": "You are an expert consultant in cybersecurity named Thor. Introduce yourself as Thor when first responding."},
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{"role": "user", "content": query}
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],
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max_tokens=100
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)
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return response.choices[0].message.content
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except Exception as e:
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if "429" in str(e) and attempt < 2: # Rate limit error, wait and retry
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time.sleep(2 ** attempt) # Exponential backoff: 1s, 2s
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continue
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return f"OpenAI Error: {str(e)}" # Return error if retries fail or other issue
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except Exception as e:
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return f"OpenAI Error: {str(e)}"
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def query_groq(query):
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try:
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if not query or not isinstance(query, str):
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return "Error: Please provide a valid query"
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chat_completion = groq_client.chat.completions.create(
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messages=[
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{"role": "system", "content": "You are an expert consultant in cybersecurity named Thor. Introduce yourself as Thor when first responding."},
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{"role": "user", "content": query}
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],
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model="llama3-8b-8192"
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)
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return chat_completion.choices[0].message.content
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except Exception as e:
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return f"Groq Error: {str(e)}"
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# Unified chatbot function
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def chatbot(query, provider):
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if provider == "OpenAI":
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return query_openai(query)
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elif provider == "Groq":
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return query_groq(query)
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else:
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return "Invalid provider selected."
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# Gradio UI setup
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interface = gr.Interface(
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fn=chatbot,
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inputs=[
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gr.Textbox(lines=2, placeholder="Enter your question here...", label="Query"),
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gr.Dropdown(choices=["OpenAI", "Groq"], label="Provider")
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],
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outputs=gr.Textbox(label="Chatbot Response"),
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title="Cybersecurity Chatbot with Thor",
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description="Ask cybersecurity questions to Thor, powered by OpenAI or Groq. Select a provider and type your query."
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)
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# Launch the app
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interface.launch()
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