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Update utils/llms.py
Browse files- utils/llms.py +94 -6
utils/llms.py
CHANGED
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@@ -6,6 +6,21 @@ import json
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import os
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from g4f.Provider import DeepInfraChat,LambdaChat
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from backup import Client as PerplexityClient,cookies
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gemini_api_keys=json.loads(os.environ.get("GEMINI_KEY_LIST"))
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groq_api_keys=json.loads(os.environ.get("GROQ_API_KEYS"))
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@@ -52,24 +67,97 @@ def chatstream(messages,model,api_keys,tools):
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cunk=""
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if model in ["o3","gpt-4.1",'grok-4','gemini-2.5-pro','claude-sonnet-4-20250514','sonar-pro','r1-1778']:
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raw_perplex_msg = "".join(
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(( (f"[{message['role']}]" ) + ("(#message)" if message['role']!="system" else "(#instructions)") ) if message['role'] != "assistant" else "") + f"\n{message['content']}\n\n"
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for message in messages
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)
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-
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f.write(raw_perplex_msg)
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-
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for i in resp:
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try:
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cunk = cunk+(i["blocks"][0]["markdown_block"]["chunks"][0])
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if "```json" not in cunk or "```" not in cunk:
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yield i["blocks"][0]["markdown_block"]["chunks"][0]
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# print(i["blocks"][0]["markdown_block"]["chunks"][0],end="")
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except Exception as e:
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print(e)
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pass
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yield ("RESULT: "+cunk)
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elif model in deepinframodels:
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try:
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@@ -345,4 +433,4 @@ def chatstream(messages,model,api_keys,tools):
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# Note:
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# 1)First search and research the web thoroughly end to end.
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# 2)Always Use the website https://collegedunia.com to search about the cut offs.Dont use any other website but only this website.
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# Mandatory:**Give Atleast 10 college names**
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import os
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from g4f.Provider import DeepInfraChat,LambdaChat
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from backup import Client as PerplexityClient,cookies
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import re
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import base64
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import mimetypes
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import urllib.parse
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def _ext_from_url(url):
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try:
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path = urllib.parse.urlparse(url).path
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root, ext = os.path.splitext(path)
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if ext:
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return ext
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except Exception:
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pass
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return '.jpg'
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gemini_api_keys=json.loads(os.environ.get("GEMINI_KEY_LIST"))
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groq_api_keys=json.loads(os.environ.get("GROQ_API_KEYS"))
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cunk=""
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+
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if model in ["o3","gpt-4.1",'grok-4','gemini-2.5-pro','claude-sonnet-4-20250514','sonar-pro','r1-1778']:
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# build the raw message text as before
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raw_perplex_msg = "".join(
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(( (f"[{message['role']}]" ) + ("(#message)" if message['role']!="system" else "(#instructions)") ) if message['role'] != "assistant" else "") + f"\n{message['content']}\n\n"
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for message in messages
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)
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# --- extract images / image urls into files dict ---
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files = {}
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image_counter = 1
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# regexes
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markdown_image_pattern = re.compile(r'!\[.*?\]\((.*?)\)')
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image_url_pattern = re.compile(r'https?://\S+\.(?:png|jpg|jpeg|gif|webp|svg)', re.IGNORECASE)
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data_uri_pattern = re.compile(r'data:(image/[\w.+-]+);base64,([A-Za-z0-9+/=\n\r]+)', re.IGNORECASE)
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for message in messages:
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# 1) attachments (common OpenAI-like shape)
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atts = message.get('attachments') or message.get('attachment') or []
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if isinstance(atts, dict):
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atts = [atts]
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if isinstance(atts, list):
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for att in atts:
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if not isinstance(att, dict):
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continue
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# common keys for urls
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url = att.get('url') or att.get('image_url') or att.get('src') or att.get('href')
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if url:
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ext = _ext_from_url(url)
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fname = f'image_{image_counter}{ext}'
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files[fname] = url # pass URL as file value (per your example style)
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image_counter += 1
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# 2) content as string -> look for data-URIs, markdown images, plain image URLs
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content = message.get('content', '') or ''
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if not isinstance(content, str):
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try:
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content = str(content)
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except Exception:
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content = ''
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# data URIs -> decode and attach raw bytes
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for m in data_uri_pattern.finditer(content):
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mime_type, b64 = m.groups()
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try:
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b = base64.b64decode(b64)
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except Exception:
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continue
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ext = mimetypes.guess_extension(mime_type) or '.bin'
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fname = f'image_{image_counter}{ext}'
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files[fname] = b # raw bytes
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image_counter += 1
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# markdown images: 
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for m in markdown_image_pattern.finditer(content):
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url = m.group(1)
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ext = _ext_from_url(url)
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fname = f'image_{image_counter}{ext}'
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files[fname] = url
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image_counter += 1
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# plain image URLs in text
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for m in image_url_pattern.finditer(content):
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url = m.group(0)
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ext = _ext_from_url(url)
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fname = f'image_{image_counter}{ext}'
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files[fname] = url
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image_counter += 1
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# also include the textual messages file (so Perplexity gets the full text payload as a file)
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files['perplexity_messages.txt'] = raw_perplex_msg
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# write the textual file to disk as before (optional, kept for compatibility/debugging)
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with open("perplexity_messages.txt", "w", encoding='utf-8') as f:
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f.write(raw_perplex_msg)
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# run the search, passing files (which may contain URL strings or raw bytes for data URIs)
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resp = perplexity_cli.search(raw_perplex_msg, mode='reasoning', model=model, sources=[], files=files, stream=True, language='en-US', follow_up=None, incognito=False)
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# stream the response, aggregate into cunk (init if needed)
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cunk = ""
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for i in resp:
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try:
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cunk = cunk + (i["blocks"][0]["markdown_block"]["chunks"][0])
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if "```json" not in cunk or "```" not in cunk:
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yield i["blocks"][0]["markdown_block"]["chunks"][0]
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except Exception as e:
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print(e)
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pass
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yield ("RESULT: " + cunk)
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elif model in deepinframodels:
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try:
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# Note:
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# 1)First search and research the web thoroughly end to end.
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# 2)Always Use the website https://collegedunia.com to search about the cut offs.Dont use any other website but only this website.
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# Mandatory:**Give Atleast 10 college names**
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