Initial commit

app.py

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+import streamlit as st
+from ctransformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load pre-trained model and tokenizer
+model_name = "gpt2"
+model = AutoModelForCausalLM.from_pretrained("TheBloke/dolphin-2.2.1-mistral-7B-GGUF", model_file="dolphin-2.2.1-mistral-7b.Q4_K_M.gguf", model_type="mistral", gpu_layers=50)
+tokenizer = AutoTokenizer.from_pretrained("TheBloke/dolphin-2.2.1-mistral-7B-GGUF")
+
+def generate_mcqs(paragraph):
+    sentences = paragraph.split('. ')
+    mcqs = []
+
+    for sentence in sentences:
+        if sentence:
+            prompt = f"Generate a multiple-choice question based on the following sentence: {sentence}"
+            inputs = tokenizer.encode(prompt, return_tensors="pt")
+            outputs = model.generate(inputs, max_length=50, num_return_sequences=1)
+            question = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+            # Generate options (this is a simplified example)
+            options = ["Option A", "Option B", "Option C", "Option D"]
+            correct_answer = options[0]
+
+            mcqs.append({
+                "mcq": question,
+                "options": {
+                    "a": options[0],
+                    "b": options[1],
+                    "c": options[2],
+                    "d": options[3]
+                },
+                "correct": "a"
+            })
+
+    return mcqs
+
+# Streamlit UI
+st.title("MCQ Generator")
+st.write("Enter a paragraph to generate multiple-choice questions.")
+
+paragraph = st.text_area("Paragraph", height=200)
+if st.button("Generate MCQs"):
+    if paragraph:
+        mcqs = generate_mcqs(paragraph)
+        for i, mcq in enumerate(mcqs):
+            st.write(f"**Question {i+1}:** {mcq['mcq']}")
+            st.write(f"a. {mcq['options']['a']}")
+            st.write(f"b. {mcq['options']['b']}")
+            st.write(f"c. {mcq['options']['c']}")
+            st.write(f"d. {mcq['options']['d']}")
+            st.write(f"**Correct Answer:** {mcq['correct']}")
+    else:
+        st.write("Please enter a paragraph.")

requirements.txt

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+streamlit
+ctransformers