Create app.py

app.py

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+import nest_asyncio
+import openai
+from youtube_transcript_api import YouTubeTranscriptApi
+import requests
+import streamlit as st
+import os
+
+nest_asyncio.apply()
+
+# --- CONFIGURATION ---
+YOUTUBE_API_KEY = os.environ.get("YOUTUBE_API_KEY")  # Set this in HuggingFace Secrets
+channel_id = "UCsv3kmQ5k1eIRG2R9mWN"   # @icodeguru0
+
+# --- FUNCTION: Fetch recent video IDs from YouTube channel ---
+def get_latest_video_ids(channel_id, max_results=5):
+    url = f"https://www.googleapis.com/youtube/v3/search?key={YOUTUBE_API_KEY}&channelId={channel_id}&part=snippet,id&order=date&maxResults={max_results}"
+    response = requests.get(url)
+    videos = response.json().get('items', [])
+    return [v['id']['videoId'] for v in videos if v['id']['kind'] == 'youtube#video']
+
+# --- FUNCTION: Get video transcripts ---
+def get_video_transcripts(video_ids):
+    all_transcripts = []
+    for vid in video_ids:
+        try:
+            transcript = YouTubeTranscriptApi.get_transcript(vid)
+            text = " ".join([t['text'] for t in transcript])
+            all_transcripts.append(text)
+        except:
+            continue
+    return all_transcripts
+
+# --- FUNCTION: Ask OpenAI ---
+def ask_openai(context, question):
+    openai.api_key = os.environ.get("OPENAI_API_KEY")  # Set this in HuggingFace Secrets
+    prompt = f"Context: {context}\n\nQuestion: {question}\nAnswer:"
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": prompt}]
+    )
+    return response.choices[0].message.content.strip()
+
+# --- STREAMLIT APP ---
+def main():
+    st.set_page_config(page_title="EduBot - YouTube Channel QA", layout="wide")
+    st.title("🎓 EduBot for @icodeguru0")
+    st.markdown("Ask anything based on the channel’s recent videos.")
+
+    question = st.text_input("💬 Ask your question here:")
+    if question:
+        with st.spinner("🔍 Fetching videos and transcripts..."):
+            video_ids = get_latest_video_ids(channel_id)
+            transcripts = get_video_transcripts(video_ids)
+            full_context = "\n\n".join(transcripts)
+        with st.spinner("🧠 Thinking..."):
+            answer = ask_openai(full_context, question)
+        st.success(answer)
+
+    st.markdown("---")
+    st.caption("Powered by YouTube + OpenAI | Built for @icodeguru0")
+
+if __name__ == "__main__":
+    main()