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Update app.py
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app.py
CHANGED
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@@ -176,139 +176,289 @@
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# # main()
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import nest_asyncio
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import streamlit as st
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import os
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import requests
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from youtube_transcript_api import YouTubeTranscriptApi
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from groq import Groq
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from bs4 import BeautifulSoup
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# --- CONFIGURATION ---
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YOUTUBE_API_KEY = os.environ.get("YOUTUBE_API_KEY")
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GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
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channel_id = "UCsv3kmQ5k1eIRG2R9mWN" # iCodeGuru
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BASE_URL = "https://icode.guru"
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groq_client = Groq(api_key=GROQ_API_KEY)
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# ---
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def
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if v['id']['kind'] == 'youtube#video':
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title = v['snippet']['title']
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channel_title = v['snippet']['channelTitle']
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video_id = v['id']['videoId']
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if "icodeguru" in channel_title.lower(): # โ
Extra validation
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valid_videos.append((video_id, title))
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return valid_videos
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# --- Get video transcripts ---
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def get_video_transcripts(video_info):
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results = []
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for
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text = " ".join([t['text'] for t in transcript])
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video_link = f"https://www.youtube.com/watch?v={vid}"
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results.append({
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"video_id": vid,
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"title": title,
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"link": video_link,
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"transcript": text
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})
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except Exception as e:
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continue
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return results
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chat_completion = groq_client.chat.completions.create(
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model="
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messages=
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)
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return chat_completion.choices[0].message.content.strip()
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#--- STREAMLIT APP ---
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def main():
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st.set_page_config(page_title="EduBot for iCodeGuru", layout="wide")
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st.title("๐ EduBot for @icodeguru0")
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st.markdown("Ask anything based on the latest YouTube videos and website content of [icode.guru](https://icode.guru).")
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question = st.text_input("๐ฌ Ask your question:")
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if question:
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with st.spinner("๐บ Fetching YouTube videos..."):
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video_info = get_latest_video_ids(channel_id, max_results=5)
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transcripts = get_video_transcripts(video_info)
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yt_context = ""
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relevant_links = []
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for vid in transcripts:
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yt_context += f"\n\n[Video: {vid['title']}]({vid['link']}):\n{vid['transcript'][:1500]}"
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if question.lower() in vid['transcript'].lower():
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relevant_links.append(vid['link'])
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site_blocks = scrape_icodeguru(BASE_URL, max_pages=5)
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site_context = "\n\n".join(site_blocks)
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answer = ask_groq(full_context, question)
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if __name__ == "__main__":
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main()
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# # main()
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#(youtube+web)
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# import nest_asyncio
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# import streamlit as st
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# import os
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# import requests
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# from youtube_transcript_api import YouTubeTranscriptApi
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# from groq import Groq
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# from bs4 import BeautifulSoup
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# nest_asyncio.apply()
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# # --- CONFIGURATION ---
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# YOUTUBE_API_KEY = os.environ.get("YOUTUBE_API_KEY")
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# GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
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# channel_id = "UCsv3kmQ5k1eIRG2R9mWN" # iCodeGuru
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# BASE_URL = "https://icode.guru"
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# groq_client = Groq(api_key=GROQ_API_KEY)
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# # --- Fetch recent video IDs from YouTube channel ---
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# def get_latest_video_ids(channel_id, max_results=5):
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# url = f"https://www.googleapis.com/youtube/v3/search?key={YOUTUBE_API_KEY}&channelId={channel_id}&part=snippet,id&order=date&maxResults={max_results}"
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# response = requests.get(url)
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# videos = response.json().get('items', [])
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# valid_videos = []
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# for v in videos:
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# if v['id']['kind'] == 'youtube#video':
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# title = v['snippet']['title']
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# channel_title = v['snippet']['channelTitle']
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# video_id = v['id']['videoId']
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# if "icodeguru" in channel_title.lower(): # โ
Extra validation
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# valid_videos.append((video_id, title))
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# return valid_videos
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# # --- Get video transcripts ---
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# def get_video_transcripts(video_info):
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# results = []
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# for vid, title in video_info:
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# try:
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# transcript = YouTubeTranscriptApi.get_transcript(vid)
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# text = " ".join([t['text'] for t in transcript])
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# video_link = f"https://www.youtube.com/watch?v={vid}"
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# results.append({
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# "video_id": vid,
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# "title": title,
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# "link": video_link,
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# "transcript": text
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# })
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# except Exception as e:
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# continue
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# return results
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# # --- Scrape icode.guru ---
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# def scrape_icodeguru(base_url=BASE_URL, max_pages=5):
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# visited = set()
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# blocks = []
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# def crawl(url):
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# if url in visited or len(visited) >= max_pages:
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# return
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# visited.add(url)
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# try:
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# res = requests.get(url, timeout=10)
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# soup = BeautifulSoup(res.content, "html.parser")
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# page_text = soup.get_text(separator=" ", strip=True)
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# if len(page_text) > 100:
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# blocks.append(f"[{url}]({url}):\n{page_text[:1500]}")
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# for link in soup.find_all("a", href=True):
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# href = link['href']
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# if href.startswith("/"):
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# href = base_url + href
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# if href.startswith(base_url):
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# crawl(href)
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# except:
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# pass
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# crawl(base_url)
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# return blocks
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# # --- Ask Groq ---
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# def ask_groq(context, question):
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# messages = [
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# {"role": "system", "content": "You are a helpful assistant. Always provide relevant video and website links if possible."},
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# {"role": "user", "content": f"Context:\n{context}\n\nQuestion: {question}\nAnswer (include links):"}
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# ]
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# chat_completion = groq_client.chat.completions.create(
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# model="llama-3.3-70b-versatile",
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# messages=messages,
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# )
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# return chat_completion.choices[0].message.content.strip()
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# #--- STREAMLIT APP ---
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# def main():
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# st.set_page_config(page_title="EduBot for iCodeGuru", layout="wide")
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# st.title("๐ EduBot for @icodeguru0")
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# st.markdown("Ask anything based on the latest YouTube videos and website content of [icode.guru](https://icode.guru).")
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# question = st.text_input("๐ฌ Ask your question:")
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# if question:
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# with st.spinner("๐บ Fetching YouTube videos..."):
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# video_info = get_latest_video_ids(channel_id, max_results=5)
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# transcripts = get_video_transcripts(video_info)
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# yt_context = ""
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# relevant_links = []
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# for vid in transcripts:
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# yt_context += f"\n\n[Video: {vid['title']}]({vid['link']}):\n{vid['transcript'][:1500]}"
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# if question.lower() in vid['transcript'].lower():
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# relevant_links.append(vid['link'])
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# with st.spinner("๐ Scraping icode.guru..."):
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# site_blocks = scrape_icodeguru(BASE_URL, max_pages=5)
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# site_context = "\n\n".join(site_blocks)
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# full_context = yt_context + "\n\n" + site_context
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# with st.spinner("๐ง Thinking..."):
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# answer = ask_groq(full_context, question)
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# st.success(answer)
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# if relevant_links:
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# st.markdown("### ๐ Related YouTube Links")
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# for link in relevant_links:
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# st.markdown(f"- [Watch Video]({link})")
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# st.markdown("---")
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# st.caption("Powered by YouTube, iCodeGuru, and Groq")
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# if __name__ == "__main__":
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# main()
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import os
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import gradio as gr
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import json
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import requests
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from bs4 import BeautifulSoup
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from sentence_transformers import SentenceTransformer
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import numpy as np
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from sklearn.metrics.pairwise import cosine_similarity
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from groq import Groq
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# --- CONFIG ---
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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groq_client = Groq(api_key=GROQ_API_KEY)
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embed_model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
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# --- UTILS ---
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def embed(text):
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return embed_model.encode([text])[0]
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def find_best_match(query, documents, embeddings, top_k=3, threshold=0.5):
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query_vec = embed(query).reshape(1, -1)
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sims = cosine_similarity(query_vec, embeddings)[0]
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top_indices = np.argsort(sims)[::-1]
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results = []
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for idx in top_indices[:top_k]:
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if sims[idx] >= threshold:
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results.append((documents[idx], float(sims[idx])))
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return results
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def search_uploaded_files(query, uploaded_files):
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| 348 |
+
texts = []
|
| 349 |
+
sources = []
|
| 350 |
+
|
| 351 |
+
for file in uploaded_files:
|
| 352 |
+
name = file.name.lower()
|
| 353 |
+
content = file.read().decode("utf-8")
|
| 354 |
+
if name.endswith(".json"):
|
| 355 |
+
data = json.loads(content)
|
| 356 |
+
for item in data if isinstance(data, list) else [data]:
|
| 357 |
+
text = json.dumps(item) if isinstance(item, dict) else str(item)
|
| 358 |
+
texts.append(text)
|
| 359 |
+
sources.append(name)
|
| 360 |
+
else:
|
| 361 |
+
texts.append(content)
|
| 362 |
+
sources.append(name)
|
| 363 |
+
|
| 364 |
+
if not texts:
|
| 365 |
+
return []
|
| 366 |
+
|
| 367 |
+
embeddings = [embed(t) for t in texts]
|
| 368 |
+
top_results = find_best_match(query, texts, embeddings)
|
| 369 |
+
return [f"๐ From {sources[i]}:\n{text}" for i, (text, _) in enumerate(top_results)]
|
| 370 |
+
|
| 371 |
+
# --- FALLBACK SOURCES ---
|
| 372 |
+
|
| 373 |
+
def scrape_icodeguru(query, max_results=3):
|
| 374 |
+
base_url = "https://icode.guru"
|
| 375 |
+
try:
|
| 376 |
+
resp = requests.get(base_url, timeout=10)
|
| 377 |
+
soup = BeautifulSoup(resp.text, "html.parser")
|
| 378 |
+
links = soup.find_all("a", href=True)
|
| 379 |
+
matching = []
|
| 380 |
+
for a in links:
|
| 381 |
+
if query.lower() in a.text.lower():
|
| 382 |
+
href = a['href']
|
| 383 |
+
full_url = href if href.startswith("http") else base_url + href
|
| 384 |
+
matching.append(f"{a.text.strip()}\n๐ {full_url}")
|
| 385 |
+
if len(matching) >= max_results:
|
| 386 |
+
break
|
| 387 |
+
return matching
|
| 388 |
+
except Exception as e:
|
| 389 |
+
return [f"๐ Error fetching website: {e}"]
|
| 390 |
+
|
| 391 |
+
def search_youtube_icodeguru(query, max_results=3):
|
| 392 |
+
try:
|
| 393 |
+
api_key = os.getenv("YOUTUBE_API_KEY")
|
| 394 |
+
if not api_key:
|
| 395 |
+
return ["โ ๏ธ YouTube API key not set."]
|
| 396 |
+
|
| 397 |
+
url = f"https://www.googleapis.com/youtube/v3/search?part=snippet&channelId=UCsv3kmQ5k9z7CdFtnqp1U_A&q={query}&type=video&maxResults={max_results}&key={api_key}"
|
| 398 |
+
r = requests.get(url)
|
| 399 |
+
data = r.json()
|
| 400 |
+
|
| 401 |
+
if "items" not in data:
|
| 402 |
+
return ["โ ๏ธ YouTube API error or quota exceeded."]
|
| 403 |
+
|
| 404 |
+
results = []
|
| 405 |
+
for item in data["items"]:
|
| 406 |
+
title = item["snippet"]["title"]
|
| 407 |
+
video_id = item["id"]["videoId"]
|
| 408 |
+
video_url = f"https://www.youtube.com/watch?v={video_id}"
|
| 409 |
+
results.append(f"โถ๏ธ {title}\n๐ {video_url}")
|
| 410 |
+
|
| 411 |
+
return results
|
| 412 |
+
except Exception as e:
|
| 413 |
+
return [f"๐บ Error searching YouTube: {e}"]
|
| 414 |
+
|
| 415 |
+
# --- CHAT HANDLER ---
|
| 416 |
+
|
| 417 |
+
def chat_handler(message, history, files=None):
|
| 418 |
+
fallback_used = False
|
| 419 |
+
|
| 420 |
+
file_results = search_uploaded_files(message, files) if files else []
|
| 421 |
+
context_text = "\n\n".join(file_results)
|
| 422 |
+
|
| 423 |
+
if not context_text.strip():
|
| 424 |
+
fallback_used = True
|
| 425 |
+
yt_results = search_youtube_icodeguru(message)
|
| 426 |
+
web_results = scrape_icodeguru(message)
|
| 427 |
+
context_text = "\n\n".join(yt_results + web_results)
|
| 428 |
+
|
| 429 |
+
prompt = f"""You are SmartiBot, a helpful assistant trained only on iCodeGuru content.
|
| 430 |
+
Answer the following question **strictly** based on this context:
|
| 431 |
+
|
| 432 |
+
Context:
|
| 433 |
+
{context_text}
|
| 434 |
+
|
| 435 |
+
Question: {message}
|
| 436 |
+
Answer:"""
|
| 437 |
+
|
| 438 |
chat_completion = groq_client.chat.completions.create(
|
| 439 |
+
model="llama3-8b-8192",
|
| 440 |
+
messages=[{"role": "user", "content": prompt}],
|
| 441 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 442 |
|
| 443 |
+
reply = chat_completion.choices[0].message.content.strip()
|
|
|
|
|
|
|
| 444 |
|
| 445 |
+
if fallback_used:
|
| 446 |
+
reply += "\n\n๐ก Fetched from iCodeGuru YouTube or Website."
|
| 447 |
|
| 448 |
+
return reply
|
|
|
|
| 449 |
|
| 450 |
+
# --- STREAMLIT APP ---
|
| 451 |
|
| 452 |
+
def main():
|
| 453 |
+
gr.ChatInterface(
|
| 454 |
+
fn=chat_handler,
|
| 455 |
+
title="๐ค SmartiBot for iCodeGuru",
|
| 456 |
+
description="Ask any tech question โ get answers only from iCodeGuru's YouTube, Website, or uploaded files!",
|
| 457 |
+
additional_inputs=[
|
| 458 |
+
gr.File(file_types=[".txt", ".json"], label="Upload Knowledge Files", file_count="multiple")
|
| 459 |
+
],
|
| 460 |
+
).launch()
|
| 461 |
|
| 462 |
if __name__ == "__main__":
|
| 463 |
main()
|
| 464 |
|
|
|
|
|
|