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Update app.py
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app.py
CHANGED
@@ -4,6 +4,8 @@ import streamlit as st
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from dotenv import load_dotenv
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from openai import OpenAI
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from elevenlabs import generate, play, set_api_key
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# Load API keys
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load_dotenv()
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@@ -19,23 +21,42 @@ st.title("Explain Like I'm Five (with Voice!)")
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topic = st.text_input("What do you want me to explain like you're five?", "")
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if st.button("Explain with Voice"):
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if topic:
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with st.spinner(f"Asking my smart brain to explain '{topic}' simply..."):
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prompt = f"Explain {topic} to a five-year-old using very simple words, short sentences, and a fun example or analogy that a young child can easily understand."
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with st.spinner("Generating the voice for the explanation..."):
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audio = generate(text=
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st.subheader("Listen to the explanation:")
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st.audio(audio, format="audio/mpeg")
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from dotenv import load_dotenv
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from openai import OpenAI
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from elevenlabs import generate, play, set_api_key
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import json
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import requests
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# Load API keys
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load_dotenv()
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topic = st.text_input("What do you want me to explain like you're five?", "")
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def stream_openai_response(payload, headers):
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with requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload, stream=True) as r:
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for line in r.iter_lines():
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if line and line.startswith(b"data: "):
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yield line[len(b"data: "):].decode()
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if st.button("Explain with Voice"):
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if topic:
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st.subheader("Here's how a five-year-old might understand it:")
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explanation_box = st.empty()
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full_explanation = ""
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with st.spinner(f"Asking my smart brain to explain '{topic}' simply..."):
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prompt = f"Explain {topic} to a five-year-old using very simple words, short sentences, and a fun example or analogy that a young child can easily understand."
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headers = {"Authorization": f"Bearer {OPENAI_API_KEY}"}
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payload = {
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"model": "gpt-4o",
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.7,
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"stream": True
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}
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for chunk in stream_openai_response(payload, headers):
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if chunk.strip() == "[DONE]":
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break
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try:
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parsed = json.loads(chunk)
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delta = parsed['choices'][0]['delta'].get('content', '')
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full_explanation += delta
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explanation_box.markdown(full_explanation)
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except json.JSONDecodeError:
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st.warning(f"Non-JSON chunk received: {chunk}")
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continue
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with st.spinner("Generating the voice for the explanation..."):
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audio = generate(text=full_explanation, voice="Bella", model="eleven_multilingual_v2")
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st.subheader("Listen to the explanation:")
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st.audio(audio, format="audio/mpeg")
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