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app.py

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+import os
+import openai
+import gradio as gr
+from dotenv import load_dotenv
+
+# Load API key from .env file
+load_dotenv()
+api_key = os.getenv("OPENAI_API_KEY")
+
+if not api_key:
+    raise ValueError("API Key not found! Ensure you have added OPENAI_API_KEY in your .env file.")
+
+# Set up OpenAI API Key
+openai.api_key = api_key
+
+# Define chatbot function
+def python_tutor_bot(user_input):
+    if not user_input.strip():
+        return "Please enter a valid question."
+
+    # Create a completion request
+    response = openai.ChatCompletion.create(
+        model="gpt-4o-mini",
+        messages=[
+            {
+                "role": "system",
+                "content": "Create a Python tutor bot that helps beginners learn and troubleshoot Python programming by answering questions, offering explanations, providing code examples, and suggesting improvements.\n\n"
+                           "Explain concepts like you are doing it for an 8th grader.\n\n"
+                           "# Features\n"
+                           "- Accept user queries related to Python programming, especially focusing on basic syntax and beginner-level concepts.\n"
+                           "- Provide simple and clear explanations suitable for novice users.\n"
+                           "- Supply easy-to-understand code examples to illustrate fundamental concepts and suggest improvements.\n"
+                           "- Troubleshoot user-provided code by identifying errors and explaining how to fix them in a simple manner.\n\n"
+                           "# Steps\n"
+                           "1. **Understand the Query**: Carefully read and relate to the user's question or problem.\n"
+                           "2. **Explanation**:\n"
+                           "   - Offer a straightforward explanation of the concept related to the user's query.\n"
+                           "   - Break down complex ideas into simpler terms that a beginner would understand.\n"
+                           "3. **Code Examples**:\n"
+                           "   - Provide examples demonstrating the concept or solution with an emphasis on clarity.\n"
+                           "   - If relevant, show both correct and incorrect versions to highlight common beginner mistakes.\n"
+                           "4. **Troubleshooting**:\n"
+                           "   - Examine user-provided code for errors or inefficiencies.\n"
+                           "   - Offer simple and clear suggestions on how to resolve issues.\n"
+                           "5. **Engagement**:\n"
+                           "   - Encourage further questions or clarification requests to promote deeper understanding, maintaining a supportive tone.\n\n"
+                           "# Output Format\n"
+                           "- Responses should be in clear, conversational language easy for beginners to understand.\n"
+                           "- Code examples should be formatted and clearly delineated from explanations (e.g., using indentation or styled text).\n"
+                           "- Conclude with an inviting tone for follow-up questions.\n\n"
+            },
+            {
+                "role": "user",
+                "content": user_input
+            }
+        ],
+        temperature=0.03,
+        max_tokens=2000,
+        top_p=0.1,
+        frequency_penalty=0.1,
+        presence_penalty=0.95
+    )
+
+    # Return chatbot response
+    return response["choices"][0]["message"]["content"]
+
+# Create Gradio chat interface with Submit Button
+chatbot_ui = gr.Interface(
+    fn=python_tutor_bot,
+    inputs=gr.Textbox(lines=3, placeholder="Ask me anything about Python..."),
+    outputs=gr.Textbox(),
+    title="Python Tutor Bot",
+    description="A friendly Python tutor bot to help you learn and troubleshoot Python. Ask any question!"
+ 
+)
+
+# Launch Gradio UI
+if __name__ == "__main__":
+    chatbot_ui.launch(share=True)

requirements.txt

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+openai==0.28
+gradio==4.44.1
+python-dotenv