Create app.py

app.py

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+import streamlit as st
+import pdfplumber
+import pytesseract
+from PIL import Image
+import io
+import requests
+
+# Constants
+GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+GROQ_API_KEY = st.secrets["GROQ_API_KEY"]
+MODEL = "mixtral-8x7b-32768"  # or llama3, gemma, etc.
+
+# Extract text from PDF
+def extract_text_from_pdf(uploaded_file):
+    text = ""
+    with pdfplumber.open(uploaded_file) as pdf:
+        for page in pdf.pages:
+            text += page.extract_text() + "\n"
+    return text
+
+# Extract text from image
+def extract_text_from_image(uploaded_file):
+    image = Image.open(uploaded_file)
+    text = pytesseract.image_to_string(image)
+    return text
+
+# Call Groq API
+def get_answers_from_groq(text):
+    prompt = (
+        "You are a helpful assistant. The user provides a set of multiple-choice questions. "
+        "For each question, choose the most appropriate answer and give a 1-line explanation.\n\n"
+        f"Questions:\n{text}\n\n"
+        "Format your response as:\n\nQ1: Answer - Explanation\nQ2: Answer - Explanation\n..."
+    )
+
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": MODEL,
+        "messages": [{"role": "user", "content": prompt}],
+        "temperature": 0.3
+    }
+
+    response = requests.post(GROQ_API_URL, headers=headers, json=payload)
+    result = response.json()
+    return result["choices"][0]["message"]["content"]
+
+# Streamlit UI
+st.set_page_config(page_title="Quiz Solver", layout="centered")
+st.title("🧠 Quiz Solver App")
+st.write("Upload a PDF or image containing multiple-choice questions. The app will return the answers with explanations.")
+
+uploaded_file = st.file_uploader("Upload PDF or Image", type=["pdf", "png", "jpg", "jpeg"])
+
+if uploaded_file:
+    file_type = uploaded_file.type
+    with st.spinner("Extracting text..."):
+        if "pdf" in file_type:
+            extracted_text = extract_text_from_pdf(uploaded_file)
+        else:
+            extracted_text = extract_text_from_image(uploaded_file)
+
+    st.subheader("Extracted Text")
+    st.text_area("Preview", extracted_text, height=300)
+
+    if st.button("Get Answers"):
+        with st.spinner("Getting answers from Groq..."):
+            try:
+                answers = get_answers_from_groq(extracted_text)
+                st.subheader("Answers and Explanations")
+                st.markdown(f"```text\n{answers}\n```")
+            except Exception as e:
+                st.error(f"Error: {e}")