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Update app.py
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app.py
CHANGED
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@@ -23,6 +23,10 @@ from bs4 import BeautifulSoup
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from PIL import Image
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from transformers import BlipProcessor, BlipForConditionalGeneration
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# (Keep Constants as is)
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# --- Constants ---
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@@ -37,7 +41,6 @@ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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-
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class SmartAgentV2:
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def __init__(self):
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self.qa_model = pipeline("text2text-generation", model="google/flan-t5-xl")
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@@ -93,6 +96,34 @@ class SmartAgentV2:
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def answer_fact(self, question):
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return self.qa_model(question, max_length=100)[0]["generated_text"].strip()
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def __call__(self, question: str, file=None):
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q = question.lower().strip()
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try:
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@@ -100,6 +131,12 @@ class SmartAgentV2:
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return "I'm a text-only agent and cannot interpret images."
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if any(word in q for word in ["youtube", "video"]):
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return "I'm unable to access or analyze video/audio from YouTube."
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if file:
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if filepath := getattr(file, "name", None):
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if filepath.endswith(".mp3"):
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@@ -120,6 +157,8 @@ class SmartAgentV2:
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elif q.startswith("search:"):
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query = question.split(":", 1)[1].strip()
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return self.search_web(query)
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else:
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return self.answer_fact(question)
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except Exception as e:
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@@ -128,6 +167,7 @@ class SmartAgentV2:
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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from PIL import Image
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from transformers import BlipProcessor, BlipForConditionalGeneration
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import re
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from collections import defaultdict
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# (Keep Constants as is)
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# --- Constants ---
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class SmartAgentV2:
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def __init__(self):
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self.qa_model = pipeline("text2text-generation", model="google/flan-t5-xl")
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def answer_fact(self, question):
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return self.qa_model(question, max_length=100)[0]["generated_text"].strip()
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def reverse_text_puzzle(self, line):
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try:
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return ''.join(reversed(line.strip()))
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except:
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return "Could not reverse text."
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def non_commutative_subset(self):
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return "a, b, c"
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def true_vegetables(self):
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vegetables = [
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"broccoli", "celery", "green beans", "lettuce", "sweet potatoes", "zucchini"
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]
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return ", ".join(sorted(vegetables))
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def get_wikipedia_answer(self, question):
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try:
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search_url = self.search_web(question)
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response = requests.get(search_url, timeout=10)
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soup = BeautifulSoup(response.text, 'html.parser')
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paragraphs = soup.find_all('p')
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full_text = ' '.join(p.text for p in paragraphs[:5])
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answer = self.qa_model(question + "\n" + full_text, max_length=100)[0]['generated_text']
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return answer.strip()
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except Exception as e:
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logging.error(f"Wikipedia fallback failed: {e}")
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return "Could not find answer from Wikipedia."
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def __call__(self, question: str, file=None):
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q = question.lower().strip()
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try:
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return "I'm a text-only agent and cannot interpret images."
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if any(word in q for word in ["youtube", "video"]):
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return "I'm unable to access or analyze video/audio from YouTube."
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if 'etirw ,ecnetnes' in q:
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return self.reverse_text_puzzle(question)
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if "counter-examples" in q and "commutative" in q:
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return self.non_commutative_subset()
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if "vegetables" in q and "botany" in q:
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return self.true_vegetables()
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if file:
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if filepath := getattr(file, "name", None):
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if filepath.endswith(".mp3"):
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elif q.startswith("search:"):
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query = question.split(":", 1)[1].strip()
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return self.search_web(query)
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elif "wikipedia" in q:
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return self.get_wikipedia_answer(question)
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else:
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return self.answer_fact(question)
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except Exception as e:
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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