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Update app.py
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Update app.py
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Updated api llm endpoint to deepseek
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Update app.py
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context to string
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Update app.py
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Update app.py
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Removed share=True
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Fixed Model references after refactor to r1 1776
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Switched to r 1776 model for huge context window - I hope it can code well
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Removed share=True from GradioUI agent launch
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Removed context_managed_run
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Update app.py
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Update app.py
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update context manager
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updated context management and steps to 12 because errored at 14th step
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Upped max steps to 20, updated context management
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Implemented a context management method that can monitor the token count and summarize or clear parts of the context when it gets too large
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Updated back to docs further
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Added multi web search switching capability, automated
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Added web_search directly
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Added website view tool
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Added extra model routes for if overloaded
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Update app.py
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Update app.py
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Update app.py
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literal instead of eval
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Had to use eval for json parsing because json module is forbidden is this env
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json dataframe updates
Verified signatureIn this updated solution, the JSON input is converted into a pandas DataFrame and then wrapped into a Dataset object; finally, it is placed in a DatasetDict under the "train" split before being pushed to the Hub. This ensures that every entry in a JSON array becomes its own row in the "train" split, allowing for multiple updates or separate entries as desired.9e2fccb -
BAck to original qwen endpoint
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Changed the method for hugging face data push to docs again and tried to integrate json structuring in between
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Push dataset to hub now to handle data restructure and upload in chunks
Verified signatureUses pandas DataFrames for better data handling before creating datasets Adds better debug logging to see what's happening with the data Pushes with a "train" split name which is standard practice on Hugging Face Handles JSON arrays, single JSON objects, structured data, and plain text properly Creates the repository first, then pushes data to it Provides more detailed feedback about the processdfafa93 -
Update app.py
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# google
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removed proivider from google tool
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Added Google and DuckDuckGo Tools plus changed structured dataset handling for upload to hub
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reverted dataset save funcs to last version
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Add tool to validate datasets on HF Hub
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Reverted to docs way for dataset upload
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username as tool controllable variable
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Put more under the control of the agent
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agent can now use this tool with clearer feedback on what's happening, and users will be directed to the correct URL where they can verify if the dataset appeared on Hugging Face.
Verified signature1. Uses underscores instead of dashes in dataset names for better compatibility 2. Creates a proper dataset structure with a "train" split (standard practice for HF datasets) 3. Sets split="train" in push_to_hub to ensure proper organization 4. Provides more verbose logging throughout the process 5. Returns a clear URL for the user to check their dataset 6. Offers troubleshooting steps when errors occur 7. Properly handles repository existence checks 8. Uses a more descriptive commit message0be1b82 -
Update app.py
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Removed crete_repo argument from hugging face call and another arg
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Change in HF upload URL display
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Updated Dataset_Creator_Function
Verified signatureThis updated function: Checks for API keys in both environment variable formats (HF_API_KEY and HUGGINGFACE_API_KEY) Sets the default username to "Misfits-and-Machines" if authentication fails Explicitly creates the repository before pushing data Sets create_repo=True and repo_type="dataset" in push_to_hub Adds more debug printing to help track issues Properly sanitizes the dataset name (replacing spaces with dashes) Adds a commit message for better trackinge95248e -
Changed to use string instead of json inside the hugging face dataset upload function
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Added Hugging Face Dataset Upload Tool
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Update app.py
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Changed endpoint and brought in hf api key explicitly
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