Delete app.py

app.py

@@ -1,115 +0,0 @@
-
-import streamlit as st
-from transformers import pipeline
-from fpdf import FPDF
-from googletrans import Translator
-from gtts import gTTS
-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()
-
-# Translator
-translator = Translator()
-
-# 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 translator.translate(text, dest=lang_code).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)