Create app.py

app.py

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+import streamlit as st
+import os
+import PyPDF2
+from groq import Groq
+
+# Set up your Groq client
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+# Function to extract text from a PDF
+def extract_text_from_pdf(pdf_file):
+    pdf_reader = PyPDF2.PdfReader(pdf_file)
+    text = ""
+    for page in pdf_reader.pages:
+        text += page.extract_text()
+    return text
+
+# Function to query Groq for simplified content or Q&A
+def query_groq(prompt):
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {
+                "role": "user",
+                "content": prompt,
+            }
+        ],
+        model="llama-3.3-70b-versatile",
+    )
+    return chat_completion.choices[0].message.content
+
+# Persistent history
+if "history" not in st.session_state:
+    st.session_state["history"] = []
+
+# Streamlit App
+st.set_page_config(
+    page_title="🌍 Next-Gen Scientific Paper Translator",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+# Apply custom CSS for animations and background
+st.markdown(
+    """
+    <style>
+    body {
+        background-image: url('https://source.unsplash.com/1920x1080/?science,technology');
+        background-size: cover;
+        background-attachment: fixed;
+        color: #FFFFFF;
+    }
+    .css-18e3th9 {
+        background: rgba(0, 0, 0, 0.7) !important;
+        border-radius: 10px;
+        padding: 20px;
+    }
+    button {
+        transition: 0.3s ease;
+    }
+    button:hover {
+        background-color: #1f78d1 !important;
+        color: white !important;
+    }
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.title("📄 **Next-Gen Scientific Paper Translator**")
+st.markdown(
+    "Unlock the power of **scientific papers** with simplified explanations, extracted citations, and more!"
+)
+
+# Sidebar with user options
+with st.sidebar:
+    st.markdown("## ⚙️ **Settings**")
+    theme_mode = st.radio("Choose Theme", ["Light Mode", "Dark Mode"])
+    if theme_mode == "Dark Mode":
+        st.markdown("""
+            <style>
+                body {
+                    background-color: #1E1E1E;
+                }
+            </style>
+        """, unsafe_allow_html=True)
+
+# Upload PDF
+st.markdown("### 📤 **Upload Your PDF**")
+pdf_file = st.file_uploader("Drop your scientific paper (PDF only)", type=["pdf"])
+
+# Left column for preview, right column for output
+if pdf_file is not None:
+    col1, col2 = st.columns([1, 2])
+
+    # PDF Preview
+    with col1:
+        st.markdown("### 📑 **PDF Preview**")
+        text = extract_text_from_pdf(pdf_file)
+        st.text_area("Preview of Content", text[:1500], height=400)
+
+    # Right column: Options for processing
+    with col2:
+        st.markdown("### 🧠 **What would you like to do?**")
+        task = st.radio(
+            "Select a task",
+            ["Simplify the Content", "Extract Title", "Extract Citation", "Ask a Question"]
+        )
+
+        if task == "Simplify the Content":
+            prompt = f"Simplify this for a beginner:\n\n{text[:1000]}"
+            if st.button("Simplify"):
+                with st.spinner("Processing..."):
+                    response = query_groq(prompt)
+                    st.session_state["history"].append({"task": "Simplify", "output": response})
+                    st.success("Simplified!")
+                    st.write(response)
+
+        elif task == "Extract Title":
+            prompt = f"Extract the title:\n\n{text[:1000]}"
+            if st.button("Extract Title"):
+                with st.spinner("Processing..."):
+                    response = query_groq(prompt)
+                    st.session_state["history"].append({"task": "Title", "output": response})
+                    st.success("Title extracted!")
+                    st.write(response)
+
+        elif task == "Extract Citation":
+            prompt = f"Extract the citation:\n\n{text[:1000]}"
+            if st.button("Extract Citation"):
+                with st.spinner("Processing..."):
+                    response = query_groq(prompt)
+                    st.session_state["history"].append({"task": "Citation", "output": response})
+                    st.success("Citation extracted!")
+                    st.write(response)
+
+        elif task == "Ask a Question":
+            user_question = st.text_input("Enter your question:")
+            if st.button("Get Answer"):
+                prompt = f"Answer this question:\n\n{text[:1000]}\n\nQuestion: {user_question}"
+                with st.spinner("Processing..."):
+                    response = query_groq(prompt)
+                    st.session_state["history"].append({"task": "Q&A", "output": response})
+                    st.success("Answer generated!")
+                    st.write(response)
+
+# History Section
+st.markdown("---")
+st.markdown("### 🕒 **History**")
+for entry in st.session_state["history"]:
+    st.markdown(f"**Task:** {entry['task']} | **Output:** {entry['output']}")
+
+# Footer
+st.markdown("---")
+st.markdown(
+    "<div style='text-align: center;'>Built with ❤️ using Streamlit and Groq</div>",
+    unsafe_allow_html=True,
+)