remove cookie

app.py

@@ -1,38 +1,29 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 import datetime
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
 import instaloader
 import os
-import requests
 from PIL import Image
-from io import BytesIO
 import aiohttp
 import asyncio
 from aiofiles import open as aio_open
-import matplotlib.pyplot as plt
+from qwen_vl_utils import process_vision_info
+from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
+import torch
 
 from Gradio_UI import GradioUI
 
-# Below is an example of a tool that does nothing. Amaze us with your creativity !
-@tool
-def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
-    """A tool that does nothing yet 
-    Args:
-        arg1: the first argument
-        arg2: the second argument
-    """
-    return "What magic will you build ?"
 
 @tool
-async def my_insta_analizer(username:str)-> str: #it's import to specify the return type
-    #Keep this format for the description / args / args description but feel free to modify the tool
+def my_insta_analizer(username: str) -> str: #it's import to specify the return type
     """A tool that analyzes your Instagram profile and describes how you appear to people seeing it for the first time.
     Args:
         username: The Instagram username of the person whose profile needs to be analyzed. Always strats from "@". Example: @irusvvirus.
     """
+    # return "I have analized your priffile - you are the best"
+    username = username.replace("@", "")
     DATA_ROOT = f"data/{username}"
     MAX_SIZE = (144, 192)
     TOP_K_POSTS = 12
@@ -40,31 +31,32 @@ async def my_insta_analizer(username:str)-> str: #it's import to specify the ret
     
     # Login to Insta
     L = instaloader.Instaloader()
-    L.load_session("hfia2025", { 
-        "csrftoken": "EvyQWJTLWfbLy00C1h2hJoMmW3V002ik",
-        "sessionid": "72565382956%3AbXg6LSEaqDXogy%3A21%3AAYc8jNkM18-P4t4l7dokdj3NK5odeGP6xfCwMiL0NA",
-        "ds_user_id": "72565382956",
-        "mid": "Zz7yUQAEAAHHANNrTkDrJG-KA05E",
-        "ig_did": "44A88963-6613-41AA-93F0-418DF87BDA72"
-    })
-
+    # L.load_session("hfia2025", { 
+    #     "csrftoken": "EvyQWJTLWfbLy00C1h2hJoMmW3V002ik",
+    #     "sessionid": "72565382956%3AbXg6LSEaqDXogy%3A21%3AAYc8jNkM18-P4t4l7dokdj3NK5odeGP6xfCwMiL0NA",
+    #     "ds_user_id": "72565382956",
+    #     "mid": "Zz7yUQAEAAHHANNrTkDrJG-KA05E",
+    #     "ig_did": "44A88963-6613-41AA-93F0-418DF87BDA72"
+    # })
     
     # Get target profile
     profile = instaloader.Profile.from_username(L.context, username) 
     
     # Read general info
     user_meta = {
-        "Username": profile.username,
-        "Full Name": profile.full_name,
-        "Bio": profile.biography,
-        "Followers": profile.followers,
-        "Followees": profile.followees,
-        "Private": profile.is_private,
-        "Verified": profile.is_verified,
+        "username": profile.username,
+        "full Name": profile.full_name,
+        "bio": profile.biography,
+        "followers": profile.followers,
+        "followees": profile.followees,
+        "private": profile.is_private,
+        "verified": profile.is_verified,
     }
     if user_meta["private"]:
         return "This profile is private. We are not allowed to access it."
     
+    # return f"I loged to inst && Profile {username} looks great && I recieved next user meta={user_meta}!"
+    
     # Scrape posts 
     posts = profile.get_posts()
     
@@ -89,26 +81,18 @@ async def my_insta_analizer(username:str)-> str: #it's import to specify the ret
         }
         return meta 
 
-    async def process_posts(profile):
+    async def process_posts(posts):
         tasks = []
         async with aiohttp.ClientSession() as session:
-            for i, post in enumerate(profile.get_posts()):
-                if i == 12: 
+            for i, post in enumerate(posts):
+                if i == TOP_K_POSTS: 
                     break
                 print(f"Downloading post {i}...")
                 tasks.append(download_post(post, session))
-            result = await asyncio.gather(*tasks)  # Run downloads concurrently
+            result = await asyncio.gather(*tasks)  
         return result
-        
-    def run_posts_scraping_async(profile):
-        loop = asyncio.get_event_loop()
-        if loop.is_running():
-            future = asyncio.ensure_future(process_posts(profile))
-            return future 
-        else:
-            return asyncio.run(process_posts(profile))  # Works in standalone scripts
 
-    posts_meta = await run_posts_scraping_async(profile)
+    posts_meta = asyncio.run(process_posts(posts))
     
     def create_image_grid(images, grid_size=(3, 4)):
         cols, rows = grid_size
@@ -154,10 +138,48 @@ async def my_insta_analizer(username:str)-> str: #it's import to specify the ret
         img.thumbnail(MAX_SIZE)
         posts_images.append(img)
     posts_image = create_image_grid(posts_images)
-    
     user_meta["posts"] = posts_meta
+    
+    model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
+        "Qwen/Qwen2.5-VL-7B-Instruct",
+        torch_dtype=torch.bfloat16,
+        attn_implementation="flash_attention_2",
+        device_map="auto",
+    )
+    processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct")
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {
+                    "type": "image",
+                    "image": posts_image,
+                },
+                {"type": "text", "text": "Describe this image."},
+            ],
+        }
+    ]
+    text = processor.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+    image_inputs, video_inputs = process_vision_info(messages)
+    inputs = processor(
+        text=[text],
+        images=image_inputs,
+        videos=video_inputs,
+        padding=True,
+        return_tensors="pt",
+    )
+    inputs = inputs.to(model.device)
+    generated_ids = model.generate(**inputs, max_new_tokens=128)
+    generated_ids_trimmed = [
+        out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
+    ]
+    output_text = processor.batch_decode(
+        generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
+    )
+    return output_text
 
-    return f"I recieved posts from {username} N_posts={len(posts_images)} Shape={posts_image.shape} meta={user_meta}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -181,10 +203,10 @@ final_answer = FinalAnswerTool()
 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
 
 model = HfApiModel(
-max_tokens=2096,
-temperature=0.5,
-model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
-custom_role_conversions=None,
+    max_tokens=2096,
+    temperature=0.5,
+    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
+    custom_role_conversions=None,
 )
 
 
@@ -196,7 +218,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[my_insta_analizer, get_current_time_in_timezone, final_answer], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,

prompts.yaml

@@ -11,6 +11,7 @@
 
   You have access to the following tools:
   Tool Name: my_insta_analizer, Description: A tool that analyzes your Instagram profile and describes how you appear to people seeing it for the first time, Arguments: username: str, Outputs: str
+  Tool Name: get_current_time_in_timezone, Description: A tool that fetches the current local time in a specified timezone, Arguments: timezone: str, Outputs: str
 
 
   Here are a few examples using notional tools:

requirements.txt

@@ -7,4 +7,8 @@ instaloader
 pillow
 aiohttp
 aiofiles
-matplotlib
+matplotlib
+transformers @ git+https://github.com/huggingface/transformers.git
+torch
+qwen-vl-utils
+torchvision