Create app.py

app.py

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+# Install dependencies
+!pip install openai gradio
+
+import openai
+import gradio as gr
+
+# Set your OpenAI API key
+openai.api_key = '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'
+
+# Function to process the mathematical question
+def math_chatbot(question):
+    try:
+        # Call the OpenAI API to get the answer
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",  # You can also use "gpt-4" if you have access
+            messages=[
+                {"role": "user", "content": question}
+            ]
+        )
+        # Extract the response text
+        answer = response['choices'][0]['message']['content']
+    except Exception as e:
+        answer = str(e)
+
+    return answer
+
+# Gradio interface
+iface = gr.Interface(
+    fn=math_chatbot,
+    inputs=gr.inputs.Textbox(label="Ask a Mathematical Question", placeholder="e.g., What is 2 + 2?"),
+    outputs="text",
+    title="Math Chatbot",
+    description="Ask any mathematical question and get an answer!"
+)
+
+# Launch the Gradio app
+iface.launch()