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app.py

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+
+import streamlit as st
+from transformers import pipeline
+from fpdf import FPDF
+from gtts import gTTS
+from deep_translator import GoogleTranslator
+import base64
+import tempfile
+
+# Load Hugging Face model
+@st.cache_resource
+def load_model():
+    return pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1")
+
+generator = load_model()
+
+# Page config
+st.set_page_config(page_title="Explain Like I'm 5", page_icon="🧸", layout="centered")
+st.markdown("<h1 style='text-align: center;'>🧸 Explain Like I'm 5</h1>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center;'>Ask anything and I’ll explain it super simply 👶</p>", unsafe_allow_html=True)
+
+# Input
+user_input = st.text_input("🎯 Enter a topic or question:", placeholder="e.g., What is blockchain?")
+language = st.selectbox("🌐 Choose output language:", ["English", "Hindi", "Marathi"])
+
+with st.expander("💡 Try These Examples"):
+    st.markdown("- What is AI?\n- Why is the sky blue?\n- How does Wi-Fi work?\n- What is climate change?")
+
+# Hugging Face response
+def generate_eli5_response(topic):
+    prompt = f"Explain this to a 5-year-old: {topic}"
+    result = generator(prompt, max_new_tokens=150, do_sample=True, temperature=0.7)
+    return result[0]['generated_text'].replace(prompt, "").strip()
+
+# Translate
+def translate_text(text, lang_code):
+    return GoogleTranslator(source='auto', target=lang_code).translate(text)
+
+# Language map
+lang_map = {
+    "English": "en",
+    "Hindi": "hi",
+    "Marathi": "mr"
+}
+
+# PDF Export
+def export_to_pdf(topic, explanation):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", size=12)
+    pdf.multi_cell(0, 10, f"Topic: {topic}\n\nExplanation:\n{explanation}")
+    return pdf.output(dest='S').encode('latin-1')
+
+# Text-to-Speech
+def text_to_speech(text, lang_code):
+    tts = gTTS(text, lang=lang_code)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp:
+        tts.save(tmp.name)
+        audio_path = tmp.name
+    return audio_path
+
+# History
+if 'history' not in st.session_state:
+    st.session_state['history'] = []
+
+# Button logic
+if st.button("✨ Explain it to me!"):
+    if user_input.strip() == "":
+        st.warning("Please enter a topic.")
+    else:
+        with st.spinner("Explaining like you're 5..."):
+            explanation = generate_eli5_response(user_input)
+
+            # Translate if needed
+            lang_code = lang_map[language]
+            if language != "English":
+                explanation_translated = translate_text(explanation, lang_code)
+            else:
+                explanation_translated = explanation
+
+            # Save to history
+            st.session_state['history'].insert(0, {
+                "topic": user_input,
+                "language": language,
+                "explanation": explanation_translated
+            })
+            st.session_state['history'] = st.session_state['history'][:5]
+
+            # Display result
+            st.success("🍼 Here's your explanation:")
+            st.markdown(f"**{explanation_translated}**")
+
+            # TTS playback
+            audio_path = text_to_speech(explanation_translated, lang_code)
+            with open(audio_path, "rb") as audio_file:
+                audio_bytes = audio_file.read()
+                st.audio(audio_bytes, format="audio/mp3")
+
+            # Export to PDF
+            pdf_data = export_to_pdf(user_input, explanation_translated)
+            st.download_button("📄 Download as PDF", data=pdf_data, file_name=f"ELI5-{user_input[:30]}.pdf", mime="application/pdf")
+
+# Show history
+if st.session_state['history']:
+    with st.expander("📜 Past Explanations"):
+        for i, entry in enumerate(st.session_state['history']):
+            st.markdown(f"**{i+1}. {entry['topic']} ({entry['language']})**")
+            st.markdown(f"> {entry['explanation']}")
+
+# Footer
+st.markdown("---")
+st.markdown("<p style='text-align: center;'>❤️ Made with Love. By Akash Shahade</p>", unsafe_allow_html=True)

requirements.txt

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+
+streamlit
+transformers
+torch
+fpdf
+gtts
+deep-translator