Update app.py
Browse files
app.py
CHANGED
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@@ -8,6 +8,7 @@ import numpy as np
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from sklearn.feature_extraction.text import TfidfVectorizer
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from sklearn.metrics.pairwise import cosine_similarity
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from io import StringIO
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# Function to extract text from a PDF file
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def extract_text_from_pdf(pdf_file):
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@@ -67,18 +68,98 @@ def generate_math_solution(query):
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messages=[{"role": "user", "content": prompt}]
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)
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return response['choices'][0]['message']['content']
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from PIL import Image # Required for local image files
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# Streamlit app starts here
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st.set_page_config(page_title="AI Assistance", page_icon=":robot:", layout="wide")
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#
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# Input OpenAI API key
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openai_api_key = st.text_input("Enter your OpenAI API key:", type="password")
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@@ -106,21 +187,10 @@ if openai_api_key:
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"Text-To-Diagram-Generator"
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))
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#
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st.sidebar.markdown("""
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## Contact
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For any questions or issues, please contact:
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- **Email**: [shukdevdatta@gmail.com](mailto:shukdevdatta@gmail.com)
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- **GitHub**: [Click here to access the Github Profile](https://github.com/shukdevtroy)
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- **WhatsApp**: [Click here to chat](https://wa.me/+8801719296601)
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- **HuggingFace Profile**: [Click here to access the HuggingFace Profile](https://huggingface.co/shukdevdatta123)
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""")
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if mode == "Course Query Assistant":
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st.header("Course Query Assistant")
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# Display image/logo in the "Course Query Assistant" section (optional)
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course_query_image = Image.open("Capture.PNG") # Ensure the file is in the correct directory
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st.image(course_query_image, width=150) # Adjust the size as per preference
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from sklearn.feature_extraction.text import TfidfVectorizer
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from sklearn.metrics.pairwise import cosine_similarity
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from io import StringIO
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from PIL import Image
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# Function to extract text from a PDF file
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def extract_text_from_pdf(pdf_file):
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messages=[{"role": "user", "content": prompt}]
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)
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return response['choices'][0]['message']['content']
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# Streamlit app starts here
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st.set_page_config(page_title="AI Assistance", page_icon=":robot:", layout="wide")
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# Custom CSS for the page styling
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st.markdown("""
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<style>
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body {
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background-color: #f0f4f7;
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font-family: 'Arial', sans-serif;
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color: #333;
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}
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.header {
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text-align: center;
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font-size: 2.5em;
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font-weight: bold;
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color: #4CAF50;
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margin-top: 30px;
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animation: fadeIn 2s ease-out;
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}
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.sidebar .sidebar-content {
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background-color: #333;
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color: white;
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}
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.sidebar .sidebar-content a {
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color: white;
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font-size: 1.2em;
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}
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.sidebar .sidebar-content a:hover {
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color: #4CAF50;
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}
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.stButton>button {
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background-color: #4CAF50;
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color: white;
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font-size: 1.2em;
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padding: 10px 20px;
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border-radius: 5px;
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border: none;
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transition: background-color 0.3s;
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}
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.stButton>button:hover {
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background-color: #45a049;
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}
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.stTextInput input {
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padding: 10px;
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font-size: 1.1em;
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border-radius: 5px;
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border: 1px solid #ccc;
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}
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.stFileUploader {
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border-radius: 5px;
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border: 1px solid #ddd;
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padding: 10px;
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}
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.stImage {
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animation: fadeIn 2s ease-out;
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}
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@keyframes fadeIn {
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0% { opacity: 0; }
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100% { opacity: 1; }
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}
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.stTextArea textarea {
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padding: 10px;
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font-size: 1.1em;
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border-radius: 5px;
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border: 1px solid #ccc;
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}
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</style>
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""", unsafe_allow_html=True)
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# Custom JavaScript for animations
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st.markdown("""
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<script type="text/javascript">
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window.onload = function() {
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const elements = document.querySelectorAll('.stButton button, .stTextInput input, .stTextArea textarea');
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elements.forEach(element => {
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element.style.transition = 'all 0.3s ease';
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element.addEventListener('mouseover', function() {
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element.style.transform = 'scale(1.05)';
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});
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element.addEventListener('mouseout', function() {
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element.style.transform = 'scale(1)';
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});
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});
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};
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</script>
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""", unsafe_allow_html=True)
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# Add your app logic here...
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# Display the app header
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st.markdown("<h1 class='header'>AI Assistance</h1>", unsafe_allow_html=True)
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# Input OpenAI API key
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openai_api_key = st.text_input("Enter your OpenAI API key:", type="password")
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"Text-To-Diagram-Generator"
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))
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# Main app content here...
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if mode == "Course Query Assistant":
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st.header("Course Query Assistant")
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# Display image/logo in the "Course Query Assistant" section (optional)
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course_query_image = Image.open("Capture.PNG") # Ensure the file is in the correct directory
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st.image(course_query_image, width=150) # Adjust the size as per preference
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