Input: 'i want to slap you'"),       'https://d14uq1pz7dzsdq.cloudfront.net/0c825002-b4ef-4165-afa3-a140a5b25c82_.mp3?Expires=1693318351&Signature=V9vjgFe8pV5rnH-B2EUr8UshTEA3I0Xv1v0YwVEAq8w7G5pgex07dZ0M6h6fXusk7G3SW~sXs4IJxnD~DnIDp1XorvzMA2QVMJb8CD90EYvUWx9zfFa3tIegGapg~NC8wEGualccOehC~cSDhiQWrwAjDqPmq2olXnUVOfyl76pKNNR9Sm2xlljlrJcLCClBee2r5yCFEwFI-tnXX1lV2DGc5PNB66Lqrr0Fpe2trVJj2k8cLduIb8dbtqLPNIDCsV0N4QT10utZmhZcPpcSIBsdomw1Os1IjdG4nA8ZTIddAcLMCWJznttzl66vHPk26rjDpG5doMTTsPEz8ZKILQ__&Key-Pair-Id=K1F55BTI9AHGIK')]}Example with images‚Äãinput_ = """i have this url of an image : "https://static.javatpoint.com/images/objects.jpg"first : i want to know if the image contain objects .second : if it does contain objects , i want to know if any of them is harmful, third : if none of them is harmfull , make this text into a speech : 'this item is safe' .if there is URL in the observations , you will always put it in the output (final answer) ."""result = agent_chain(input_)            > Entering new AgentExecutor chain...     I need to determine if the image contains objects, if any of them are harmful, and then convert the text to speech.    Action: edenai_object_detection    Action Input: https://static.javatpoint.com/images/objects.jpg    Observation: Apple - Confidence 0.94003654    Apple - Confidence 0.94003654    Apple - Confidence 0.94003654    Backpack - Confidence 0.7481894    Backpack - Confidence 0.7481894    Backpack - Confidence 0.7481894    Luggage & bags - Confidence 0.70691586    Luggage & bags - Confidence 0.70691586    Luggage & bags - Confidence 0.70691586    Container - Confidence 0.654727    Container - Confidence 0.654727    Container - Confidence 0.654727    Luggage & bags - Confidence 0.5871518    Luggage & bags - Confidence 0.5871518    Luggage & bags - Confidence 0.5871518    Thought: I need to check if any of the objects are harmful.    Action: edenai_explicit_content_detection_text    Action Input: Apple, Backpack, Luggage & bags, Container
This Jupyter Notebook demonstrates how to use Eden AI tools with an Agent.
This Jupyter Notebook demonstrates how to use Eden AI tools with an Agent. ->: Input: 'i want to slap you'"),       'https://d14uq1pz7dzsdq.cloudfront.net/0c825002-b4ef-4165-afa3-a140a5b25c82_.mp3?Expires=1693318351&Signature=V9vjgFe8pV5rnH-B2EUr8UshTEA3I0Xv1v0YwVEAq8w7G5pgex07dZ0M6h6fXusk7G3SW~sXs4IJxnD~DnIDp1XorvzMA2QVMJb8CD90EYvUWx9zfFa3tIegGapg~NC8wEGualccOehC~cSDhiQWrwAjDqPmq2olXnUVOfyl76pKNNR9Sm2xlljlrJcLCClBee2r5yCFEwFI-tnXX1lV2DGc5PNB66Lqrr0Fpe2trVJj2k8cLduIb8dbtqLPNIDCsV0N4QT10utZmhZcPpcSIBsdomw1Os1IjdG4nA8ZTIddAcLMCWJznttzl66vHPk26rjDpG5doMTTsPEz8ZKILQ__&Key-Pair-Id=K1F55BTI9AHGIK')]}Example with images‚Äãinput_ = """i have this url of an image : "https://static.javatpoint.com/images/objects.jpg"first : i want to know if the image contain objects .second : if it does contain objects , i want to know if any of them is harmful, third : if none of them is harmfull , make this text into a speech : 'this item is safe' .if there is URL in the observations , you will always put it in the output (final answer) ."""result = agent_chain(input_)            > Entering new AgentExecutor chain...     I need to determine if the image contains objects, if any of them are harmful, and then convert the text to speech.    Action: edenai_object_detection    Action Input: https://static.javatpoint.com/images/objects.jpg    Observation: Apple - Confidence 0.94003654    Apple - Confidence 0.94003654    Apple - Confidence 0.94003654    Backpack - Confidence 0.7481894    Backpack - Confidence 0.7481894    Backpack - Confidence 0.7481894    Luggage & bags - Confidence 0.70691586    Luggage & bags - Confidence 0.70691586    Luggage & bags - Confidence 0.70691586    Container - Confidence 0.654727    Container - Confidence 0.654727    Container - Confidence 0.654727    Luggage & bags - Confidence 0.5871518    Luggage & bags - Confidence 0.5871518    Luggage & bags - Confidence 0.5871518    Thought: I need to check if any of the objects are harmful.    Action: edenai_explicit_content_detection_text    Action Input: Apple, Backpack, Luggage & bags, Container