Create app.py

app.py

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+import streamlit as st
+import openai
+
+# Set your OpenAI API key
+openai.api_key = 'your_openai_api_key'
+
+# Function to classify email
+def classify_email(email_text):
+    response = openai.Completion.create(
+        model='gpt-3.5-turbo-instruct',
+        prompt=f'Classify the following email:\n\n{email_text}\n\nCategories: Spam, Work, Personal, Promotion, Other',
+        max_tokens=50
+    )
+    return response.choices[0].text.strip()
+
+# Streamlit interface
+st.title('Email Classifier')
+st.write('Enter the email text below and click "Classify" to determine its category.')
+
+email_text = st.text_area('Email Text', height=300)
+
+if st.button('Classify'):
+    if email_text:
+        category = classify_email(email_text)
+        st.write(f'The email is classified as: **{category}**')
+    else:
+        st.write('Please enter some text to classify.')