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Update app.py
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app.py
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import os
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import openai
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import gradio as gr
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#
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openai_api_key = os.getenv("OPENAI_API_KEY")
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def
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if not openai_api_key:
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return "⚠️ API key is missing. Please configure it in Hugging Face Secrets.", history
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history.append({"role": "user", "content": user_input})
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try:
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temperature=0.7,
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max_tokens=
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top_p=1,
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api_key=openai_api_key # Explicitly passing API key
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)
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history.append({"role": "assistant", "content": bot_reply})
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except Exception as e:
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title="
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description="
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theme="
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# Launch the app
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if __name__ == "__main__":
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import gradio as gr
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import openai
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from dotenv import load_dotenv
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import os
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# Load environment variables
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load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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client = openai.OpenAI(api_key=openai_api_key)
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def get_python_help(question):
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try:
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messages = [
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{"role": "system", "content": "You are a helpful assistant for Python programming."},
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{"role": "user", "content": question}
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]
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response = client.chat.completions.create(
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model="gpt-4",
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messages=messages,
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temperature=0.7,
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max_tokens=150
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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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return f"Error: {str(e)}"
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# Create Gradio interface
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iface = gr.Interface(
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fn=get_python_help,
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inputs=gr.Textbox(label="Your Python Question:", placeholder="Type your Python question here..."),
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outputs=gr.Textbox(label="Python Tutor Bot Response"),
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title="Python Tutor Bot",
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description="Ask your Python programming questions! Type 'exit' to end the session.",
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theme="default",
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examples=[["What is a tuple in Python?"], ["How do I use list comprehension?"]],
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)
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if __name__ == "__main__":
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iface.launch()
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