Spaces:
Running
on
Zero
Running
on
Zero
Update chatbot.py
Browse files- chatbot.py +12 -31
chatbot.py
CHANGED
@@ -23,6 +23,7 @@ from transformers import AutoProcessor
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from huggingface_hub import InferenceClient
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from PIL import Image
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import spaces
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# Set device to CUDA if available, otherwise CPU
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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@@ -222,26 +223,8 @@ def extract_images_from_msg_list(msg_list):
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all_images.append(c_)
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return all_images
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_useragent_list = [
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0',
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36',
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'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36 Edg/111.0.1661.62',
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/111.0'
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]
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# Get a random user agent from the list
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def get_useragent():
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"""Returns a random user agent from the list."""
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return random.choice(_useragent_list)
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# Extract visible text from HTML content using BeautifulSoup
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def extract_text_from_webpage(html_content):
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"""Extracts visible text from HTML content using BeautifulSoup."""
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soup = BeautifulSoup(html_content, "html.parser")
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@@ -252,24 +235,23 @@ def extract_text_from_webpage(html_content):
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visible_text = soup.get_text(strip=True)
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return visible_text
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# Perform a Google search and return the results
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def search(term, num_results=
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"""Performs a Google search and returns the results."""
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escaped_term = urllib.parse.quote_plus(term)
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start = 0
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all_results = []
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# Limit the number of characters from each webpage to stay under the token limit
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max_chars_per_page = 8000 # Adjust this value based on your token limit and average webpage length
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with requests.Session() as session:
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while start < num_results:
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resp = session.get(
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url="https://www.google.com/search",
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headers={"User-Agent":
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params={
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"q": term,
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"num": num_results - start,
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"hl": lang,
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"start": start,
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"safe": safe,
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@@ -288,7 +270,7 @@ def search(term, num_results=3, lang="en", advanced=True, timeout=5, safe="activ
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if link:
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link = link["href"]
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try:
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webpage = session.get(link, headers={"User-Agent": get_useragent()})
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webpage.raise_for_status()
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visible_text = extract_text_from_webpage(webpage.text)
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# Truncate text if it's too long
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@@ -300,10 +282,9 @@ def search(term, num_results=3, lang="en", advanced=True, timeout=5, safe="activ
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all_results.append({"link": link, "text": None})
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else:
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all_results.append({"link": None, "text": None})
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start += len(result_block)
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return all_results
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# Format the prompt for the language model
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def format_prompt(user_prompt, chat_history):
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prompt = "<s>"
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from huggingface_hub import InferenceClient
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from PIL import Image
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import spaces
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from functools import lru_cache
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# Set device to CUDA if available, otherwise CPU
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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all_images.append(c_)
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return all_images
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# Perform a Google search and return the results
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@lru_cache(maxsize=128)
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def extract_text_from_webpage(html_content):
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"""Extracts visible text from HTML content using BeautifulSoup."""
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soup = BeautifulSoup(html_content, "html.parser")
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visible_text = soup.get_text(strip=True)
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return visible_text
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# Perform a Google search and return the results
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def search(term, num_results=2, lang="en", advanced=True, timeout=5, safe="active", ssl_verify=None):
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"""Performs a Google search and returns the results."""
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escaped_term = urllib.parse.quote_plus(term)
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start = 0
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all_results = []
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# Limit the number of characters from each webpage to stay under the token limit
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max_chars_per_page = 8000 # Adjust this value based on your token limit and average webpage length
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with requests.Session() as session:
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while start < num_results:
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resp = session.get(
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url="https://www.google.com/search",
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headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/111.0"},
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params={
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"q": term,
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"num": num_results - start,
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"hl": lang,
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"start": start,
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"safe": safe,
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if link:
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link = link["href"]
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try:
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webpage = session.get(link, headers={"User-Agent": get_useragent()})
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webpage.raise_for_status()
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visible_text = extract_text_from_webpage(webpage.text)
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# Truncate text if it's too long
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all_results.append({"link": link, "text": None})
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else:
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all_results.append({"link": None, "text": None})
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start += len(result_block)
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return all_results
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# Format the prompt for the language model
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def format_prompt(user_prompt, chat_history):
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prompt = "<s>"
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