Delete Hugplug

Hugplug/HuggingChatAPI.py

@@ -1,65 +0,0 @@
-
-from hugchat import hugchat
-from hugchat.login import Login
-from langchain.llms.base import LLM
-from typing import Optional, List, Mapping, Any
-from time import sleep
-
-
-# THIS IS A CUSTOM LLM WRAPPER Based on hugchat library
-# Reference :
-# - Langchain custom LLM wrapper : https://python.langchain.com/docs/modules/model_io/models/llms/how_to/custom_llm
-# - HugChat library : https://github.com/Soulter/hugging-chat-api
-
-class HuggingChat(LLM):
-    """HuggingChat LLM wrapper."""
-    chatbot : Optional[hugchat.ChatBot] = None
-    conversation : Optional[str] = ""
-    email : Optional[str]
-    psw : Optional[str]
-
-    
-    
-    @property
-    def _llm_type(self) -> str:
-        return "custom"
-
-    def _call(self, prompt: str, stop: Optional[List[str]] = None) -> str:
-        if stop is not None:
-            pass
-
-        if self.chatbot is None:
-            if self.email is None and self.psw is None:
-                ValueError("Email and Password is required, pls check the documentation on github : https://github.com/Soulter/hugging-chat-api")
-            else: 
-                if self.conversation == "":
-                    sign = Login(self.email, self.psw) # type: ignore
-                    cookies = sign.login()
-
-                    # Create a ChatBot
-                    self.chatbot = hugchat.ChatBot(cookies=cookies.get_dict()) 
-                
-                    id = self.chatbot.new_conversation()
-                    self.chatbot.change_conversation(id)
-                    self.conversation = id         
-                else:
-                    self.chatbot.change_conversation(self.conversation) # type: ignore
-            
-    
-        data = self.chatbot.chat(prompt, temperature=0.4, stream=False) # type: ignore
-        return data # type: ignore
-
-    @property
-    def _identifying_params(self) -> Mapping[str, Any]:
-        """Get the identifying parameters."""
-        return {"model": "HuggingCHAT"}
-
-
-
-#llm = HuggingChat(email = "YOUR-EMAIL" , psw = = "YOUR-PSW" ) #for start new chat
-
-
-#print(llm("Hello, how are you?"))
-#print(llm("what is AI?"))
-#print(llm("Can you resume your previus answer?")) #now memory work well
-

Hugplug/LICENSE

@@ -1,674 +0,0 @@
-                    GNU GENERAL PUBLIC LICENSE
-                       Version 3, 29 June 2007
-
- Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
- Everyone is permitted to copy and distribute verbatim copies
- of this license document, but changing it is not allowed.
-
-                            Preamble
-
-  The GNU General Public License is a free, copyleft license for
-software and other kinds of works.
-
-  The licenses for most software and other practical works are designed
-to take away your freedom to share and change the works.  By contrast,
-the GNU General Public License is intended to guarantee your freedom to
-share and change all versions of a program--to make sure it remains free
-software for all its users.  We, the Free Software Foundation, use the
-GNU General Public License for most of our software; it applies also to
-any other work released this way by its authors.  You can apply it to
-your programs, too.
-
-  When we speak of free software, we are referring to freedom, not
-price.  Our General Public Licenses are designed to make sure that you
-have the freedom to distribute copies of free software (and charge for
-them if you wish), that you receive source code or can get it if you
-want it, that you can change the software or use pieces of it in new
-free programs, and that you know you can do these things.
-
-  To protect your rights, we need to prevent others from denying you
-these rights or asking you to surrender the rights.  Therefore, you have
-certain responsibilities if you distribute copies of the software, or if
-you modify it: responsibilities to respect the freedom of others.
-
-  For example, if you distribute copies of such a program, whether
-gratis or for a fee, you must pass on to the recipients the same
-freedoms that you received.  You must make sure that they, too, receive
-or can get the source code.  And you must show them these terms so they
-know their rights.
-
-  Developers that use the GNU GPL protect your rights with two steps:
-(1) assert copyright on the software, and (2) offer you this License
-giving you legal permission to copy, distribute and/or modify it.
-
-  For the developers' and authors' protection, the GPL clearly explains
-that there is no warranty for this free software.  For both users' and
-authors' sake, the GPL requires that modified versions be marked as
-changed, so that their problems will not be attributed erroneously to
-authors of previous versions.
-
-  Some devices are designed to deny users access to install or run
-modified versions of the software inside them, although the manufacturer
-can do so.  This is fundamentally incompatible with the aim of
-protecting users' freedom to change the software.  The systematic
-pattern of such abuse occurs in the area of products for individuals to
-use, which is precisely where it is most unacceptable.  Therefore, we
-have designed this version of the GPL to prohibit the practice for those
-products.  If such problems arise substantially in other domains, we
-stand ready to extend this provision to those domains in future versions
-of the GPL, as needed to protect the freedom of users.
-
-  Finally, every program is threatened constantly by software patents.
-States should not allow patents to restrict development and use of
-software on general-purpose computers, but in those that do, we wish to
-avoid the special danger that patents applied to a free program could
-make it effectively proprietary.  To prevent this, the GPL assures that
-patents cannot be used to render the program non-free.
-
-  The precise terms and conditions for copying, distribution and
-modification follow.
-
-                       TERMS AND CONDITIONS
-
-  0. Definitions.
-
-  "This License" refers to version 3 of the GNU General Public License.
-
-  "Copyright" also means copyright-like laws that apply to other kinds of
-works, such as semiconductor masks.
-
-  "The Program" refers to any copyrightable work licensed under this
-License.  Each licensee is addressed as "you".  "Licensees" and
-"recipients" may be individuals or organizations.
-
-  To "modify" a work means to copy from or adapt all or part of the work
-in a fashion requiring copyright permission, other than the making of an
-exact copy.  The resulting work is called a "modified version" of the
-earlier work or a work "based on" the earlier work.
-
-  A "covered work" means either the unmodified Program or a work based
-on the Program.
-
-  To "propagate" a work means to do anything with it that, without
-permission, would make you directly or secondarily liable for
-infringement under applicable copyright law, except executing it on a
-computer or modifying a private copy.  Propagation includes copying,
-distribution (with or without modification), making available to the
-public, and in some countries other activities as well.
-
-  To "convey" a work means any kind of propagation that enables other
-parties to make or receive copies.  Mere interaction with a user through
-a computer network, with no transfer of a copy, is not conveying.
-
-  An interactive user interface displays "Appropriate Legal Notices"
-to the extent that it includes a convenient and prominently visible
-feature that (1) displays an appropriate copyright notice, and (2)
-tells the user that there is no warranty for the work (except to the
-extent that warranties are provided), that licensees may convey the
-work under this License, and how to view a copy of this License.  If
-the interface presents a list of user commands or options, such as a
-menu, a prominent item in the list meets this criterion.
-
-  1. Source Code.
-
-  The "source code" for a work means the preferred form of the work
-for making modifications to it.  "Object code" means any non-source
-form of a work.
-
-  A "Standard Interface" means an interface that either is an official
-standard defined by a recognized standards body, or, in the case of
-interfaces specified for a particular programming language, one that
-is widely used among developers working in that language.
-
-  The "System Libraries" of an executable work include anything, other
-than the work as a whole, that (a) is included in the normal form of
-packaging a Major Component, but which is not part of that Major
-Component, and (b) serves only to enable use of the work with that
-Major Component, or to implement a Standard Interface for which an
-implementation is available to the public in source code form.  A
-"Major Component", in this context, means a major essential component
-(kernel, window system, and so on) of the specific operating system
-(if any) on which the executable work runs, or a compiler used to
-produce the work, or an object code interpreter used to run it.
-
-  The "Corresponding Source" for a work in object code form means all
-the source code needed to generate, install, and (for an executable
-work) run the object code and to modify the work, including scripts to
-control those activities.  However, it does not include the work's
-System Libraries, or general-purpose tools or generally available free
-programs which are used unmodified in performing those activities but
-which are not part of the work.  For example, Corresponding Source
-includes interface definition files associated with source files for
-the work, and the source code for shared libraries and dynamically
-linked subprograms that the work is specifically designed to require,
-such as by intimate data communication or control flow between those
-subprograms and other parts of the work.
-
-  The Corresponding Source need not include anything that users
-can regenerate automatically from other parts of the Corresponding
-Source.
-
-  The Corresponding Source for a work in source code form is that
-same work.
-
-  2. Basic Permissions.
-
-  All rights granted under this License are granted for the term of
-copyright on the Program, and are irrevocable provided the stated
-conditions are met.  This License explicitly affirms your unlimited
-permission to run the unmodified Program.  The output from running a
-covered work is covered by this License only if the output, given its
-content, constitutes a covered work.  This License acknowledges your
-rights of fair use or other equivalent, as provided by copyright law.
-
-  You may make, run and propagate covered works that you do not
-convey, without conditions so long as your license otherwise remains
-in force.  You may convey covered works to others for the sole purpose
-of having them make modifications exclusively for you, or provide you
-with facilities for running those works, provided that you comply with
-the terms of this License in conveying all material for which you do
-not control copyright.  Those thus making or running the covered works
-for you must do so exclusively on your behalf, under your direction
-and control, on terms that prohibit them from making any copies of
-your copyrighted material outside their relationship with you.
-
-  Conveying under any other circumstances is permitted solely under
-the conditions stated below.  Sublicensing is not allowed; section 10
-makes it unnecessary.
-
-  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
-
-  No covered work shall be deemed part of an effective technological
-measure under any applicable law fulfilling obligations under article
-11 of the WIPO copyright treaty adopted on 20 December 1996, or
-similar laws prohibiting or restricting circumvention of such
-measures.
-
-  When you convey a covered work, you waive any legal power to forbid
-circumvention of technological measures to the extent such circumvention
-is effected by exercising rights under this License with respect to
-the covered work, and you disclaim any intention to limit operation or
-modification of the work as a means of enforcing, against the work's
-users, your or third parties' legal rights to forbid circumvention of
-technological measures.
-
-  4. Conveying Verbatim Copies.
-
-  You may convey verbatim copies of the Program's source code as you
-receive it, in any medium, provided that you conspicuously and
-appropriately publish on each copy an appropriate copyright notice;
-keep intact all notices stating that this License and any
-non-permissive terms added in accord with section 7 apply to the code;
-keep intact all notices of the absence of any warranty; and give all
-recipients a copy of this License along with the Program.
-
-  You may charge any price or no price for each copy that you convey,
-and you may offer support or warranty protection for a fee.
-
-  5. Conveying Modified Source Versions.
-
-  You may convey a work based on the Program, or the modifications to
-produce it from the Program, in the form of source code under the
-terms of section 4, provided that you also meet all of these conditions:
-
-    a) The work must carry prominent notices stating that you modified
-    it, and giving a relevant date.
-
-    b) The work must carry prominent notices stating that it is
-    released under this License and any conditions added under section
-    7.  This requirement modifies the requirement in section 4 to
-    "keep intact all notices".
-
-    c) You must license the entire work, as a whole, under this
-    License to anyone who comes into possession of a copy.  This
-    License will therefore apply, along with any applicable section 7
-    additional terms, to the whole of the work, and all its parts,
-    regardless of how they are packaged.  This License gives no
-    permission to license the work in any other way, but it does not
-    invalidate such permission if you have separately received it.
-
-    d) If the work has interactive user interfaces, each must display
-    Appropriate Legal Notices; however, if the Program has interactive
-    interfaces that do not display Appropriate Legal Notices, your
-    work need not make them do so.
-
-  A compilation of a covered work with other separate and independent
-works, which are not by their nature extensions of the covered work,
-and which are not combined with it such as to form a larger program,
-in or on a volume of a storage or distribution medium, is called an
-"aggregate" if the compilation and its resulting copyright are not
-used to limit the access or legal rights of the compilation's users
-beyond what the individual works permit.  Inclusion of a covered work
-in an aggregate does not cause this License to apply to the other
-parts of the aggregate.
-
-  6. Conveying Non-Source Forms.
-
-  You may convey a covered work in object code form under the terms
-of sections 4 and 5, provided that you also convey the
-machine-readable Corresponding Source under the terms of this License,
-in one of these ways:
-
-    a) Convey the object code in, or embodied in, a physical product
-    (including a physical distribution medium), accompanied by the
-    Corresponding Source fixed on a durable physical medium
-    customarily used for software interchange.
-
-    b) Convey the object code in, or embodied in, a physical product
-    (including a physical distribution medium), accompanied by a
-    written offer, valid for at least three years and valid for as
-    long as you offer spare parts or customer support for that product
-    model, to give anyone who possesses the object code either (1) a
-    copy of the Corresponding Source for all the software in the
-    product that is covered by this License, on a durable physical
-    medium customarily used for software interchange, for a price no
-    more than your reasonable cost of physically performing this
-    conveying of source, or (2) access to copy the
-    Corresponding Source from a network server at no charge.
-
-    c) Convey individual copies of the object code with a copy of the
-    written offer to provide the Corresponding Source.  This
-    alternative is allowed only occasionally and noncommercially, and
-    only if you received the object code with such an offer, in accord
-    with subsection 6b.
-
-    d) Convey the object code by offering access from a designated
-    place (gratis or for a charge), and offer equivalent access to the
-    Corresponding Source in the same way through the same place at no
-    further charge.  You need not require recipients to copy the
-    Corresponding Source along with the object code.  If the place to
-    copy the object code is a network server, the Corresponding Source
-    may be on a different server (operated by you or a third party)
-    that supports equivalent copying facilities, provided you maintain
-    clear directions next to the object code saying where to find the
-    Corresponding Source.  Regardless of what server hosts the
-    Corresponding Source, you remain obligated to ensure that it is
-    available for as long as needed to satisfy these requirements.
-
-    e) Convey the object code using peer-to-peer transmission, provided
-    you inform other peers where the object code and Corresponding
-    Source of the work are being offered to the general public at no
-    charge under subsection 6d.
-
-  A separable portion of the object code, whose source code is excluded
-from the Corresponding Source as a System Library, need not be
-included in conveying the object code work.
-
-  A "User Product" is either (1) a "consumer product", which means any
-tangible personal property which is normally used for personal, family,
-or household purposes, or (2) anything designed or sold for incorporation
-into a dwelling.  In determining whether a product is a consumer product,
-doubtful cases shall be resolved in favor of coverage.  For a particular
-product received by a particular user, "normally used" refers to a
-typical or common use of that class of product, regardless of the status
-of the particular user or of the way in which the particular user
-actually uses, or expects or is expected to use, the product.  A product
-is a consumer product regardless of whether the product has substantial
-commercial, industrial or non-consumer uses, unless such uses represent
-the only significant mode of use of the product.
-
-  "Installation Information" for a User Product means any methods,
-procedures, authorization keys, or other information required to install
-and execute modified versions of a covered work in that User Product from
-a modified version of its Corresponding Source.  The information must
-suffice to ensure that the continued functioning of the modified object
-code is in no case prevented or interfered with solely because
-modification has been made.
-
-  If you convey an object code work under this section in, or with, or
-specifically for use in, a User Product, and the conveying occurs as
-part of a transaction in which the right of possession and use of the
-User Product is transferred to the recipient in perpetuity or for a
-fixed term (regardless of how the transaction is characterized), the
-Corresponding Source conveyed under this section must be accompanied
-by the Installation Information.  But this requirement does not apply
-if neither you nor any third party retains the ability to install
-modified object code on the User Product (for example, the work has
-been installed in ROM).
-
-  The requirement to provide Installation Information does not include a
-requirement to continue to provide support service, warranty, or updates
-for a work that has been modified or installed by the recipient, or for
-the User Product in which it has been modified or installed.  Access to a
-network may be denied when the modification itself materially and
-adversely affects the operation of the network or violates the rules and
-protocols for communication across the network.
-
-  Corresponding Source conveyed, and Installation Information provided,
-in accord with this section must be in a format that is publicly
-documented (and with an implementation available to the public in
-source code form), and must require no special password or key for
-unpacking, reading or copying.
-
-  7. Additional Terms.
-
-  "Additional permissions" are terms that supplement the terms of this
-License by making exceptions from one or more of its conditions.
-Additional permissions that are applicable to the entire Program shall
-be treated as though they were included in this License, to the extent
-that they are valid under applicable law.  If additional permissions
-apply only to part of the Program, that part may be used separately
-under those permissions, but the entire Program remains governed by
-this License without regard to the additional permissions.
-
-  When you convey a copy of a covered work, you may at your option
-remove any additional permissions from that copy, or from any part of
-it.  (Additional permissions may be written to require their own
-removal in certain cases when you modify the work.)  You may place
-additional permissions on material, added by you to a covered work,
-for which you have or can give appropriate copyright permission.
-
-  Notwithstanding any other provision of this License, for material you
-add to a covered work, you may (if authorized by the copyright holders of
-that material) supplement the terms of this License with terms:
-
-    a) Disclaiming warranty or limiting liability differently from the
-    terms of sections 15 and 16 of this License; or
-
-    b) Requiring preservation of specified reasonable legal notices or
-    author attributions in that material or in the Appropriate Legal
-    Notices displayed by works containing it; or
-
-    c) Prohibiting misrepresentation of the origin of that material, or
-    requiring that modified versions of such material be marked in
-    reasonable ways as different from the original version; or
-
-    d) Limiting the use for publicity purposes of names of licensors or
-    authors of the material; or
-
-    e) Declining to grant rights under trademark law for use of some
-    trade names, trademarks, or service marks; or
-
-    f) Requiring indemnification of licensors and authors of that
-    material by anyone who conveys the material (or modified versions of
-    it) with contractual assumptions of liability to the recipient, for
-    any liability that these contractual assumptions directly impose on
-    those licensors and authors.
-
-  All other non-permissive additional terms are considered "further
-restrictions" within the meaning of section 10.  If the Program as you
-received it, or any part of it, contains a notice stating that it is
-governed by this License along with a term that is a further
-restriction, you may remove that term.  If a license document contains
-a further restriction but permits relicensing or conveying under this
-License, you may add to a covered work material governed by the terms
-of that license document, provided that the further restriction does
-not survive such relicensing or conveying.
-
-  If you add terms to a covered work in accord with this section, you
-must place, in the relevant source files, a statement of the
-additional terms that apply to those files, or a notice indicating
-where to find the applicable terms.
-
-  Additional terms, permissive or non-permissive, may be stated in the
-form of a separately written license, or stated as exceptions;
-the above requirements apply either way.
-
-  8. Termination.
-
-  You may not propagate or modify a covered work except as expressly
-provided under this License.  Any attempt otherwise to propagate or
-modify it is void, and will automatically terminate your rights under
-this License (including any patent licenses granted under the third
-paragraph of section 11).
-
-  However, if you cease all violation of this License, then your
-license from a particular copyright holder is reinstated (a)
-provisionally, unless and until the copyright holder explicitly and
-finally terminates your license, and (b) permanently, if the copyright
-holder fails to notify you of the violation by some reasonable means
-prior to 60 days after the cessation.
-
-  Moreover, your license from a particular copyright holder is
-reinstated permanently if the copyright holder notifies you of the
-violation by some reasonable means, this is the first time you have
-received notice of violation of this License (for any work) from that
-copyright holder, and you cure the violation prior to 30 days after
-your receipt of the notice.
-
-  Termination of your rights under this section does not terminate the
-licenses of parties who have received copies or rights from you under
-this License.  If your rights have been terminated and not permanently
-reinstated, you do not qualify to receive new licenses for the same
-material under section 10.
-
-  9. Acceptance Not Required for Having Copies.
-
-  You are not required to accept this License in order to receive or
-run a copy of the Program.  Ancillary propagation of a covered work
-occurring solely as a consequence of using peer-to-peer transmission
-to receive a copy likewise does not require acceptance.  However,
-nothing other than this License grants you permission to propagate or
-modify any covered work.  These actions infringe copyright if you do
-not accept this License.  Therefore, by modifying or propagating a
-covered work, you indicate your acceptance of this License to do so.
-
-  10. Automatic Licensing of Downstream Recipients.
-
-  Each time you convey a covered work, the recipient automatically
-receives a license from the original licensors, to run, modify and
-propagate that work, subject to this License.  You are not responsible
-for enforcing compliance by third parties with this License.
-
-  An "entity transaction" is a transaction transferring control of an
-organization, or substantially all assets of one, or subdividing an
-organization, or merging organizations.  If propagation of a covered
-work results from an entity transaction, each party to that
-transaction who receives a copy of the work also receives whatever
-licenses to the work the party's predecessor in interest had or could
-give under the previous paragraph, plus a right to possession of the
-Corresponding Source of the work from the predecessor in interest, if
-the predecessor has it or can get it with reasonable efforts.
-
-  You may not impose any further restrictions on the exercise of the
-rights granted or affirmed under this License.  For example, you may
-not impose a license fee, royalty, or other charge for exercise of
-rights granted under this License, and you may not initiate litigation
-(including a cross-claim or counterclaim in a lawsuit) alleging that
-any patent claim is infringed by making, using, selling, offering for
-sale, or importing the Program or any portion of it.
-
-  11. Patents.
-
-  A "contributor" is a copyright holder who authorizes use under this
-License of the Program or a work on which the Program is based.  The
-work thus licensed is called the contributor's "contributor version".
-
-  A contributor's "essential patent claims" are all patent claims
-owned or controlled by the contributor, whether already acquired or
-hereafter acquired, that would be infringed by some manner, permitted
-by this License, of making, using, or selling its contributor version,
-but do not include claims that would be infringed only as a
-consequence of further modification of the contributor version.  For
-purposes of this definition, "control" includes the right to grant
-patent sublicenses in a manner consistent with the requirements of
-this License.
-
-  Each contributor grants you a non-exclusive, worldwide, royalty-free
-patent license under the contributor's essential patent claims, to
-make, use, sell, offer for sale, import and otherwise run, modify and
-propagate the contents of its contributor version.
-
-  In the following three paragraphs, a "patent license" is any express
-agreement or commitment, however denominated, not to enforce a patent
-(such as an express permission to practice a patent or covenant not to
-sue for patent infringement).  To "grant" such a patent license to a
-party means to make such an agreement or commitment not to enforce a
-patent against the party.
-
-  If you convey a covered work, knowingly relying on a patent license,
-and the Corresponding Source of the work is not available for anyone
-to copy, free of charge and under the terms of this License, through a
-publicly available network server or other readily accessible means,
-then you must either (1) cause the Corresponding Source to be so
-available, or (2) arrange to deprive yourself of the benefit of the
-patent license for this particular work, or (3) arrange, in a manner
-consistent with the requirements of this License, to extend the patent
-license to downstream recipients.  "Knowingly relying" means you have
-actual knowledge that, but for the patent license, your conveying the
-covered work in a country, or your recipient's use of the covered work
-in a country, would infringe one or more identifiable patents in that
-country that you have reason to believe are valid.
-
-  If, pursuant to or in connection with a single transaction or
-arrangement, you convey, or propagate by procuring conveyance of, a
-covered work, and grant a patent license to some of the parties
-receiving the covered work authorizing them to use, propagate, modify
-or convey a specific copy of the covered work, then the patent license
-you grant is automatically extended to all recipients of the covered
-work and works based on it.
-
-  A patent license is "discriminatory" if it does not include within
-the scope of its coverage, prohibits the exercise of, or is
-conditioned on the non-exercise of one or more of the rights that are
-specifically granted under this License.  You may not convey a covered
-work if you are a party to an arrangement with a third party that is
-in the business of distributing software, under which you make payment
-to the third party based on the extent of your activity of conveying
-the work, and under which the third party grants, to any of the
-parties who would receive the covered work from you, a discriminatory
-patent license (a) in connection with copies of the covered work
-conveyed by you (or copies made from those copies), or (b) primarily
-for and in connection with specific products or compilations that
-contain the covered work, unless you entered into that arrangement,
-or that patent license was granted, prior to 28 March 2007.
-
-  Nothing in this License shall be construed as excluding or limiting
-any implied license or other defenses to infringement that may
-otherwise be available to you under applicable patent law.
-
-  12. No Surrender of Others' Freedom.
-
-  If conditions are imposed on you (whether by court order, agreement or
-otherwise) that contradict the conditions of this License, they do not
-excuse you from the conditions of this License.  If you cannot convey a
-covered work so as to satisfy simultaneously your obligations under this
-License and any other pertinent obligations, then as a consequence you may
-not convey it at all.  For example, if you agree to terms that obligate you
-to collect a royalty for further conveying from those to whom you convey
-the Program, the only way you could satisfy both those terms and this
-License would be to refrain entirely from conveying the Program.
-
-  13. Use with the GNU Affero General Public License.
-
-  Notwithstanding any other provision of this License, you have
-permission to link or combine any covered work with a work licensed
-under version 3 of the GNU Affero General Public License into a single
-combined work, and to convey the resulting work.  The terms of this
-License will continue to apply to the part which is the covered work,
-but the special requirements of the GNU Affero General Public License,
-section 13, concerning interaction through a network will apply to the
-combination as such.
-
-  14. Revised Versions of this License.
-
-  The Free Software Foundation may publish revised and/or new versions of
-the GNU General Public License from time to time.  Such new versions will
-be similar in spirit to the present version, but may differ in detail to
-address new problems or concerns.
-
-  Each version is given a distinguishing version number.  If the
-Program specifies that a certain numbered version of the GNU General
-Public License "or any later version" applies to it, you have the
-option of following the terms and conditions either of that numbered
-version or of any later version published by the Free Software
-Foundation.  If the Program does not specify a version number of the
-GNU General Public License, you may choose any version ever published
-by the Free Software Foundation.
-
-  If the Program specifies that a proxy can decide which future
-versions of the GNU General Public License can be used, that proxy's
-public statement of acceptance of a version permanently authorizes you
-to choose that version for the Program.
-
-  Later license versions may give you additional or different
-permissions.  However, no additional obligations are imposed on any
-author or copyright holder as a result of your choosing to follow a
-later version.
-
-  15. Disclaimer of Warranty.
-
-  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
-APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
-HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
-OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
-THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
-PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
-IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
-ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
-
-  16. Limitation of Liability.
-
-  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
-WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
-THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
-GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
-USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
-DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
-PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
-EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
-SUCH DAMAGES.
-
-  17. Interpretation of Sections 15 and 16.
-
-  If the disclaimer of warranty and limitation of liability provided
-above cannot be given local legal effect according to their terms,
-reviewing courts shall apply local law that most closely approximates
-an absolute waiver of all civil liability in connection with the
-Program, unless a warranty or assumption of liability accompanies a
-copy of the Program in return for a fee.
-
-                     END OF TERMS AND CONDITIONS
-
-            How to Apply These Terms to Your New Programs
-
-  If you develop a new program, and you want it to be of the greatest
-possible use to the public, the best way to achieve this is to make it
-free software which everyone can redistribute and change under these terms.
-
-  To do so, attach the following notices to the program.  It is safest
-to attach them to the start of each source file to most effectively
-state the exclusion of warranty; and each file should have at least
-the "copyright" line and a pointer to where the full notice is found.
-
-    <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) <year>  <name of author>
-
-    This program is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-Also add information on how to contact you by electronic and paper mail.
-
-  If the program does terminal interaction, make it output a short
-notice like this when it starts in an interactive mode:
-
-    <program>  Copyright (C) <year>  <name of author>
-    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
-    This is free software, and you are welcome to redistribute it
-    under certain conditions; type `show c' for details.
-
-The hypothetical commands `show w' and `show c' should show the appropriate
-parts of the General Public License.  Of course, your program's commands
-might be different; for a GUI interface, you would use an "about box".
-
-  You should also get your employer (if you work as a programmer) or school,
-if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<https://www.gnu.org/licenses/>.
-
-  The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<https://www.gnu.org/licenses/why-not-lgpl.html>.

Hugplug/README.md

@@ -1,220 +0,0 @@
-
-# 🤗💬 HugChat but with STEROIDs 🚀
-
- <br />
- 
-This app is an LLM-based chatbot created to give anyone🤗 the possibility to use PLUGINS, like **internet**, **Multi pdf**, **YoutubeVideo**, **Audio**, etc.. , **without paying anything 😮** Don't you trust it? **TRY IT🧑‍💻**
-
- <br />
-  <br />
-
-
-
-# See the Demo 👇
-https://github.com/IntelligenzaArtificiale/Free-personal-AI-Assistant/assets/108482353/61c58cf4-d14a-43e8-b248-03190f9ac034
-
-<br />
-  <br />
-
-# Current PLUGIN 
-<br />
-
-<details>
-  <summary>
-
-## WebSearch 🌐
-
-  </summary>
-  
-### 🚀Search on web 
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/23bdaa97-63e6-4e38-8d0d-b53321de9883)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/2667f218-05cb-4b54-ab7f-916338013317)
-
-### 🚨 ChatGPT response
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/236b3945-5e51-4e21-a2c9-2aeb4d575f7e)
-
-</details>
-
-<br />
-
-
-<details>
-  <summary>
-
-## Web Scraping 🔗
-
-  </summary>
-  
-### 🚀Talk with your preferite webisites
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/689cbc0c-b33e-4f98-8095-61f3a2c7e844)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/a5ba2a34-4284-4a23-82f7-ef6445d34d62)
-
-### 🚨 BingChat response
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/fdb86d41-e2d9-4baa-8b7c-f64307118bb7)
-
-</details>
-
-<br />
-
-<details>
-  <summary>
-
-## Talk with Data 📊
-
-  </summary>
-  
-### 🚀Perfect plugin for data analyst and data scientist !
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/639b3f98-a72b-4ae9-a947-1b0185111f77)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/3987cff1-693d-4233-a66c-dbc291ac7888)
-
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/061a68c4-de8c-45fd-9235-6d07eaf8d33e)
-
-
-### 🚨 No FREE options to compare
-
-</details>
-
-<br />
-
-<details>
-  <summary>
-
-## Multi Documents support ( PDF , DOCX , TXT ) 📚
-
-  </summary>
-  
-### 🚀Talk with your document in one click 
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/8d4c2d27-80b8-4ad4-be72-34d9ca8eec4f)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/f324e65f-072d-477c-b5a5-e6f26b8bf600)
-
-### 🚨 chatpdf.com response
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/beb60338-cffa-41ad-9221-6cd51bc4d7a6)
-
-
-</details>
-
-<br />
-
-<details>
-  <summary>
-
-## Talk with AUDIO 🎧
-
-  </summary>
-  
-### 🚀Talk with mp3 or wav with one click
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/61b29d3e-d5d2-4b82-b35e-109e5c5e3837)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/662b0418-e416-4fc4-8d27-b106a2a84706)
-
-### 🚨 No FREE options to compare
-
-</details>
-
-<br />
-
-<details>
-  <summary>
-
-## Talk with Youtube Video 📺
-
-  </summary>
-  
-### 🚀We love this plugin, its crazy
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/8f8f7885-3cc1-47a2-9176-7941a51f7dd4)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/d9b7b20b-fa0a-4676-baf1-31f30001da4a)
-
-
-### 🚨 No FREE options to compare
-
-</details>
-
-
-<br />
-
-<details>
-  <summary>
-
-## GOD MODE 🪄 give custom knowledge to your chat
-
-  </summary>
-  
-### 🚀This plugin able the chat to make a custom knowledge from a single topic
-
-### 🧑‍💻 Set up the plugin
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/135146a6-9e27-4681-817c-e91faabdd63d)
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/78f9803b-c23d-43a8-b756-c127042586d0)
-
-### 🤗 Enjoi it
-![image](https://github.com/IntelligenzaArtificiale/hugchat-with-plugin-Free-personal-AI-Assistant/assets/108482353/a02d08c1-5c0c-4a0b-a8f5-1587771eb5d9)
-
-
-### 🚨 No FREE options to compare
-
-</details>
-
-
-<br /> 
-<br />
-
-## How to use 💻
-
-- **Try it online**
-    - No installation needed
-    - [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://free-personal-ai-assistant.streamlit.app/)
-    
-- **Or install Locally**
-    - 💾 Download the repository
-    - 🔗 Exctract it
-    - 🛑 Install the `requirements.txt`
-    - ✅ Run `streamlit run streamlit_app.py`
-    - 🚀 Enjoy it  
-    
-     <br />
-  <br />
-
-## How to contribute 🤝
-
-- **Fork** the repository
-- **Clone** the repository
-- **Create** a new branch
-- **Commit** your changes
-- **Push** your changes
-- **Open** a pull request
-- **Develop** new plugins
-
- <br />
-  <br />
-  
-## Disclaimer
-The following disclaimer is from the GitHub repo from the authors of the [HugChat](https://github.com/Soulter/hugging-chat-api) port.
-> When you use this project, it means that you have agreed to the following two requirements of the HuggingChat:
->
-> AI is an area of active research with known problems such as biased generation and misinformation. Do not use this application for high-stakes decisions or advice. Your conversations will be shared with model authors.
->
->[HugChat](https://github.com/Soulter/hugging-chat-api) is an unofficial port to the [HuggingFace Chat](https://huggingface.co/chat/) API that is powered by the [OpenAssistant/oasst-sft-6-llama-30b-xor](https://huggingface.co/OpenAssistant/oasst-sft-6-llama-30b-xor) LLM model.
-
-

Hugplug/exportchat.py

@@ -1,49 +0,0 @@
-"""
-PYTHON FILE FOR EXPORT CHAT FUNCTION
-"""
-
-import streamlit as st
-from datetime import datetime
-
-
-def export_chat():
-    if 'generated' in st.session_state:
-        # save message in reverse order frist message always bot
-        # the chat is stored in a html file format
-        html_chat = ""
-        html_chat += '<html><head><title>ChatBOT Intelligenza Artificiale Italia 🧠🤖🇮🇹</title>'
-        #create two simply css box for bot and user like whatsapp
-        html_chat += '<style> .bot { background-color: #e5e5ea; padding: 10px; border-radius: 10px; margin: 10px; width: 50%; float: left; } .user { background-color: #dcf8c6; padding: 10px; border-radius: 10px; margin: 10px; width: 50%; float: right; } </style>'
-        html_chat += '</head><body>'
-        #add header
-        html_chat += '<center><h1>ChatBOT Intelligenza Artificiale Italia 🧠🤖🇮🇹</h1>'
-        #add link for danation
-        html_chat += '<h3>🤗 Support the project with a donation for the development of new features 🤗</h3>'
-        html_chat += '<br><a href="https://rebrand.ly/SupportAUTOGPTfree"><img src="https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif" alt="PayPal donate button" /></a>'
-        #add subheader with date and time
-        html_chat += '<br><br><h5>' + datetime.now().strftime("%d/%m/%Y %H:%M:%S") + '</h5></center><br><br>'
-        #add chat
-        #add solid container
-        html_chat += '<div style="padding: 10px; border-radius: 10px; margin: 10px; width: 100%; float: left;">'
-        for i in range(len(st.session_state['generated'])-1, -1, -1):
-            html_chat += '<div class="bot">' + st.session_state["generated"][i] + '</div><br>'
-            html_chat += '<div class="user">' + st.session_state['past'][i] + '</div><br>'
-        html_chat += '</div>'
-        #add footer
-        html_chat += '<br><br><center><small>Thanks you for using our ChatBOT 🧠🤖🇮🇹</small>'
-        #add link for danation
-        html_chat += '<h6>🤗 Support the project with a donation for the development of new features 🤗</h6>'
-        html_chat += '<br><a href="https://rebrand.ly/SupportAUTOGPTfree"><img src="https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif" alt="PayPal donate button" /></a><center>'
-        
-        html_chat += '</body></html>'
-        
-        #save file
-        with open('chat.html', 'w') as f:
-            f.write(html_chat)
-        #download file
-        st.download_button(
-            label="📚 Download chat",
-            data=html_chat,
-            file_name='chat.html',
-            mime='text/html'
-        )

Hugplug/packages.txt

@@ -1 +0,0 @@
-ffmpeg

Hugplug/promptTemplate.py

@@ -1,90 +0,0 @@
-"""
-This file contains the template for the prompt to be used for injecting the context into the model.
-
-With this technique we can use different plugin for different type of question and answer.
-Like :
-- Internet
-- Data
-- Code
-- PDF
-- Audio
-- Video
-
-"""
-
-from datetime import datetime
-now = datetime.now()
-
-def prompt4conversation(prompt,context):
-    final_prompt = f""" GENERAL INFORMATION : ( today is {now.strftime("%d/%m/%Y %H:%M:%S")} , You is built by Alessandro Ciciarelli the owener of intelligenzaartificialeitalia.net 
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE , WRITE ALWAYS ONLY YOUR ACCURATE ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt} . 
-                        WRITE THE ANSWER :"""
-    return final_prompt
-
-def prompt4conversationInternet(prompt,context, internet, resume):
-    final_prompt = f""" GENERAL INFORMATION : ( today is {now.strftime("%d/%m/%Y %H:%M:%S")} , You is built by Alessandro Ciciarelli the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE , WRITE ALWAYS ONLY YOUR ACCURATE ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}.
-                        INTERNET RESULT TO USE TO ANSWER : ({internet})
-                        INTERNET RESUME : ({resume})
-                        NOW THE USER ASK : {prompt}.
-                        WRITE THE ANSWER BASED ON INTERNET INFORMATION :"""
-    return final_prompt
-
-def prompt4Data(prompt, context, solution):
-    final_prompt = f"""GENERAL INFORMATION : You is built by Alessandro Ciciarelli the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE , YOU MUST MAKE THE CORRECT ANSWER MORE ARGUMENTED ! IF THE CORRECT ANSWER CONTAINS CODE YOU ARE OBLIGED TO INSERT IT IN YOUR NEW ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}
-                        THIS IS THE CORRECT ANSWER : ({solution}) 
-                        MAKE THE ANSWER MORE ARGUMENTED, WITHOUT CHANGING ANYTHING OF THE CORRECT ANSWER :"""
-    return final_prompt
-
-def prompt4Code(prompt, context, solution):
-    final_prompt = f"""GENERAL INFORMATION : You is built by Alessandro Ciciarelli  the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE , THE CORRECT ANSWER CONTAINS CODE YOU ARE OBLIGED TO INSERT IT IN YOUR NEW ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}
-                        THIS IS THE CODE FOR THE ANSWER : ({solution}) 
-                        WITHOUT CHANGING ANYTHING OF THE CODE of CORRECT ANSWER , MAKE THE ANSWER MORE DETALIED INCLUDING THE CORRECT CODE :"""
-    return final_prompt
-
-
-def prompt4Context(prompt, context, solution):
-    final_prompt = f"""GENERAL INFORMATION : You is built by Alessandro Ciciarelli  the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE ,WRITE ALWAYS ONLY YOUR ACCURATE ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}
-                        THIS IS THE CORRECT ANSWER : ({solution}) 
-                        WITHOUT CHANGING ANYTHING OF CORRECT ANSWER , MAKE THE ANSWER MORE DETALIED:"""
-    return final_prompt
-
-
-def prompt4Audio(prompt, context, solution):
-    final_prompt = f"""GENERAL INFORMATION : You is built by Alessandro Ciciarelli  the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE ,WRITE ALWAYS ONLY YOUR ACCURATE ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}
-                        THIS IS THE CORRECT ANSWER based on Audio text gived in input : ({solution}) 
-                        WITHOUT CHANGING ANYTHING OF CORRECT ANSWER , MAKE THE ANSWER MORE DETALIED:"""
-    return final_prompt
-
-def prompt4YT(prompt, context, solution):
-    final_prompt = f"""GENERAL INFORMATION : You is built by Alessandro Ciciarelli  the owener of intelligenzaartificialeitalia.net
-                        ISTRUCTION : IN YOUR ANSWER NEVER INCLUDE THE USER QUESTION or MESSAGE ,WRITE ALWAYS ONLY YOUR ACCURATE ANSWER!
-                        PREVIUS MESSAGE : ({context})
-                        NOW THE USER ASK : {prompt}
-                        THIS IS THE CORRECT ANSWER based on Youtube video gived in input : ({solution}) 
-                        WITHOUT CHANGING ANYTHING OF CORRECT ANSWER , MAKE THE ANSWER MORE DETALIED:"""
-    return final_prompt
-
-
-#HOW TO ADD YOUR OWN PROMPT :
-# 1) ADD YOUR FUNCTION HERE, for example : def prompt4Me(prompt, context):
-# 2) WRITE THE PROMPT TEMPLATE FOR YOUR FUNCTION, for example : template = f"YOU IS : {context} , NOW THE USER ASK : {prompt} . WRITE THE ANSWER :"
-# 3) RETURN THE TEMPLATE, for example : return template
-# 4) IMPORT YOUR FUNCTION IN THE MAIN FILE (streamlit_app.py) , for example : from promptTemplate import prompt4Me
-# 5) FOLLOW OTHER SPTEP IN THE MAIN FILE (streamlit_app.py)

Hugplug/requirements.txt

@@ -1,19 +0,0 @@
-beautifulsoup4==4.12.2
-docx2txt==0.8
-duckduckgo_search==3.8.3
-hugchat==0.0.8
-langchain==0.0.219
-pandas==2.0.1
-pdfplumber==0.9.0
-pydub==0.25.1
-requests
-sketch==0.4.2
-SpeechRecognition==3.8.1
-streamlit==1.24.0
-streamlit_extras==0.2.7
-youtube_search_python==1.6.6
-youtube_transcript_api==0.6.1
-chromadb==0.3.26
-ffmpeg-python
-ffprobe
-huggingface_hub

Hugplug/streamlit_app.py

@@ -1,997 +0,0 @@
-import io
-import random
-import shutil
-import string
-from zipfile import ZipFile
-import streamlit as st
-from streamlit_extras.colored_header import colored_header
-from streamlit_extras.add_vertical_space import add_vertical_space
-from hugchat import hugchat
-from hugchat.login import Login
-import pandas as pd
-import asyncio
-loop = asyncio.new_event_loop()
-asyncio.set_event_loop(loop)
-import sketch
-from langchain.text_splitter import CharacterTextSplitter
-from promptTemplate import prompt4conversation, prompt4Data, prompt4Code, prompt4Context, prompt4Audio, prompt4YT
-from promptTemplate import prompt4conversationInternet
-# FOR DEVELOPMENT NEW PLUGIN 
-# from promptTemplate import yourPLUGIN
-from exportchat import export_chat
-from langchain.vectorstores import Chroma
-from langchain.chains import RetrievalQA
-from HuggingChatAPI import HuggingChat
-from langchain.embeddings import HuggingFaceHubEmbeddings
-from youtube_transcript_api import YouTubeTranscriptApi
-import requests
-from bs4 import BeautifulSoup
-import speech_recognition as sr
-import pdfplumber
-import docx2txt
-from duckduckgo_search import DDGS
-from itertools import islice
-from os import path
-from pydub import AudioSegment
-import os
-
-
-hf = None
-repo_id = "sentence-transformers/all-mpnet-base-v2"
-
-if 'hf_token' in st.session_state:
-    if 'hf' not in st.session_state:
-        hf = HuggingFaceHubEmbeddings(
-            repo_id=repo_id,
-            task="feature-extraction",
-            huggingfacehub_api_token=st.session_state['hf_token'],
-        ) # type: ignore
-        st.session_state['hf'] = hf
-
-
-
-st.set_page_config(
-    page_title="Talk with ToastGPT💬", page_icon="✅", layout="wide", initial_sidebar_state="expanded"
-)
-
-st.markdown('<style>.css-w770g5{\
-            width: 100%;}\
-            .css-b3z5c9{    \
-            width: 100%;}\
-            .stButton>button{\
-            width: 100%;}\
-            .stDownloadButton>button{\
-            width: 100%;}\
-            </style>', unsafe_allow_html=True)
-
-
-
-
-
-
-# Sidebar contents for logIN, choose plugin, and export chat
-with st.sidebar:
-    st.title("🤗💬 Product Description Masterpiece")
-    
-    if 'hf_email' not in st.session_state or 'hf_pass' not in st.session_state:
-        with st.expander("ℹ️ Login in Hugging Face", expanded=True):
-            st.write("⚠️ You need to login in Hugging Face to use this app. You can register [here](https://huggingface.co/join).")
-            st.header('Hugging Face Login')
-            hf_email = st.text_input('Enter E-mail:')
-            hf_pass = st.text_input('Enter password:', type='password')
-            hf_token = st.text_input('Enter API Token:', type='password')
-            if st.button('Login 🚀') and hf_email and hf_pass and hf_token: 
-                with st.spinner('🚀 Logging in...'):
-                    st.session_state['hf_email'] = hf_email
-                    st.session_state['hf_pass'] = hf_pass
-                    st.session_state['hf_token'] = hf_token
-
-                    try:
-                    
-                        sign = Login(st.session_state['hf_email'], st.session_state['hf_pass'])
-                        cookies = sign.login()
-                        chatbot = hugchat.ChatBot(cookies=cookies.get_dict())
-                    except Exception as e:
-                        st.error(e)
-                        st.info("⚠️ Please check your credentials and try again.")
-                        st.error("⚠️ dont abuse the ToastGPT")
-                        st.warning("⚠️ If you don't have an account, you can register [here](https://huggingface.co/join).")
-                        from time import sleep
-                        sleep(3)
-                        del st.session_state['hf_email']
-                        del st.session_state['hf_pass']
-                        del st.session_state['hf_token']
-                        st.experimental_rerun()
-
-                    st.session_state['chatbot'] = chatbot
-
-                    id = st.session_state['chatbot'].new_conversation()
-                    st.session_state['chatbot'].change_conversation(id)
-
-                    st.session_state['conversation'] = id
-                    # Generate empty lists for generated and past.
-                    ## generated stores AI generated responses
-                    if 'generated' not in st.session_state:
-                        st.session_state['generated'] = ["I'm **ToastGPT**, How may I help you ? "]
-                    ## past stores User's questions
-                    if 'past' not in st.session_state:
-                        st.session_state['past'] = ['Hi!']
-
-                    st.session_state['LLM'] =  HuggingChat(email=st.session_state['hf_email'], psw=st.session_state['hf_pass'])
-                    
-                    st.experimental_rerun()
-                    
-
-    else:
-        with st.expander("ℹ️ Advanced Settings"):
-            #temperature: Optional[float]. Default is 0.5
-            #top_p: Optional[float]. Default is 0.95
-            #repetition_penalty: Optional[float]. Default is 1.2
-            #top_k: Optional[int]. Default is 50
-            #max_new_tokens: Optional[int]. Default is 1024
-
-            temperature = st.slider('🌡 Temperature', min_value=0.1, max_value=1.0, value=0.5, step=0.01)
-            top_p = st.slider('💡 Top P', min_value=0.1, max_value=1.0, value=0.95, step=0.01)
-            repetition_penalty = st.slider('🖌 Repetition Penalty', min_value=1.0, max_value=2.0, value=1.2, step=0.01)
-            top_k = st.slider('❄️ Top K', min_value=1, max_value=100, value=50, step=1)
-            max_new_tokens = st.slider('📝 Max New Tokens', min_value=1, max_value=1024, value=1024, step=1)
-    
-
-        # FOR DEVELOPMENT NEW PLUGIN YOU MUST ADD IT HERE INTO THE LIST 
-        # YOU NEED ADD THE NAME AT 144 LINE
-
-        #plugins for conversation
-        plugins = ["🛑 No PLUGIN","🌐 Web Search", "🔗 Talk with Website" , "📋 Talk with your DATA", "📝 Talk with your DOCUMENTS", "🎧 Talk with your AUDIO", "🎥 Talk with YT video", "🧠 GOD MODE" ,"💾 Upload saved VectorStore"]
-        if 'plugin' not in st.session_state:
-            st.session_state['plugin'] = st.selectbox('🔌 Plugins', plugins, index=0)
-        else:
-            if st.session_state['plugin'] == "🛑 No PLUGIN":
-                st.session_state['plugin'] = st.selectbox('🔌 Plugins', plugins, index=plugins.index(st.session_state['plugin']))
-
-
-# FOR DEVELOPMENT NEW PLUGIN FOLLOW THIS TEMPLATE
-# PLUGIN TEMPLATE
-# if st.session_state['plugin'] == "🔌 PLUGIN NAME" and 'PLUGIN NAME' not in st.session_state:
-#     # PLUGIN SETTINGS
-#     with st.expander("🔌 PLUGIN NAME Settings", expanded=True):
-#         if 'PLUGIN NAME' not in st.session_state or st.session_state['PLUGIN NAME'] == False:
-#             # PLUGIN CODE
-#             st.session_state['PLUGIN NAME'] = True
-#         elif st.session_state['PLUGIN NAME'] == True:
-#             # PLUGIN CODE
-#             if st.button('🔌 Disable PLUGIN NAME'):
-#               st.session_state['plugin'] = "🛑 No PLUGIN"
-#               st.session_state['PLUGIN NAME'] = False
-#               del ALL SESSION STATE VARIABLES RELATED TO PLUGIN
-#               st.experimental_rerun()
-#       # PLUGIN UPLOADER
-#       if st.session_state['PLUGIN NAME'] == True:
-#           with st.expander("🔌 PLUGIN NAME Uploader", expanded=True):
-#               # PLUGIN UPLOADER CODE
-#               load file
-#               if load file and st.button('🔌 Upload PLUGIN NAME'):
-#                   qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-#                   st.session_state['PLUGIN DB'] = qa
-#                   st.experimental_rerun()
-# 
-
-
-
-# WEB SEARCH PLUGIN
-        if st.session_state['plugin'] == "🌐 Web Search" and 'web_search' not in st.session_state:
-            # web search settings
-            with st.expander("🌐 Web Search Settings", expanded=True):
-                if 'web_search' not in st.session_state or st.session_state['web_search'] == False:
-                    reg = ['us-en', 'uk-en', 'it-it']
-                    sf = ['on', 'moderate', 'off']
-                    tl = ['d', 'w', 'm', 'y']
-                    if 'region' not in st.session_state:
-                        st.session_state['region'] = st.selectbox('🗺 Region', reg, index=1)
-                    else:
-                        st.session_state['region'] = st.selectbox('🗺 Region', reg, index=reg.index(st.session_state['region']))
-                    if 'safesearch' not in st.session_state:
-                        st.session_state['safesearch'] = st.selectbox('🚨 Safe Search', sf, index=1)
-                    else:
-                        st.session_state['safesearch'] = st.selectbox('🚨 Safe Search', sf, index=sf.index(st.session_state['safesearch']))
-                    if 'timelimit' not in st.session_state:
-                        st.session_state['timelimit'] = st.selectbox('📅 Time Limit', tl, index=1)
-                    else:
-                        st.session_state['timelimit'] = st.selectbox('📅 Time Limit', tl, index=tl.index(st.session_state['timelimit']))
-                    if 'max_results' not in st.session_state:
-                        st.session_state['max_results'] = st.slider('📊 Max Results', min_value=1, max_value=5, value=2, step=1)
-                    else:
-                        st.session_state['max_results'] = st.slider('📊 Max Results', min_value=1, max_value=5, value=st.session_state['max_results'], step=1)
-                    if st.button('🌐 Save change'):
-                        st.session_state['web_search'] = "True"
-                        st.experimental_rerun()
-
-        elif st.session_state['plugin'] == "🌐 Web Search" and st.session_state['web_search'] == 'True':
-            with st.expander("🌐 Web Search Settings", expanded=True):
-                st.write('🚀 Web Search is enabled')
-                st.write('🗺 Region: ', st.session_state['region'])
-                st.write('🚨 Safe Search: ', st.session_state['safesearch'])
-                st.write('📅 Time Limit: ', st.session_state['timelimit'])
-                if st.button('🌐🛑 Disable Web Search'):
-                    del st.session_state['web_search']
-                    del st.session_state['region']
-                    del st.session_state['safesearch']
-                    del st.session_state['timelimit']
-                    del st.session_state['max_results']
-                    del st.session_state['plugin']
-                    st.experimental_rerun()
-
-# GOD MODE PLUGIN
-        if st.session_state['plugin'] == "🧠 GOD MODE" and 'god_mode' not in st.session_state:
-            with st.expander("🧠 GOD MODE Settings", expanded=True):
-                if 'god_mode' not in st.session_state or st.session_state['god_mode'] == False:
-                    topic = st.text_input('🔎 Topic', "What is ToastGPT?")
-                    web_result = st.checkbox('🌐 Web Search', value=True, disabled=True)
-                    yt_result = st.checkbox('🎥 YT Search', value=True, disabled=True)
-                    website_result = st.checkbox('🔗 Website Search', value=True, disabled=True)
-                    deep_of_search = st.slider('📊 Deep of Search', min_value=1, max_value=100, value=2, step=1) 
-                    if st.button('🧠✅ Give knowledge to the model'):
-                        full_text = []
-                        links = []
-                        news = []
-                        yt_ids = []
-                        source = []
-                        if web_result == True:
-                            internet_result = ""
-                            internet_answer = ""
-                            with DDGS() as ddgs:
-                                with st.spinner('🌐 Searching on the web...'):
-                                    ddgs_gen = ddgs.text(topic, region="us-en")
-                                    for r in islice(ddgs_gen, deep_of_search):
-                                        l = r['href']
-                                        source.append(l)
-                                        links.append(l)
-                                        internet_result += str(r) + "\n\n"
-                                        
-                                    fast_answer = ddgs.news(topic)
-                                    for r in islice(fast_answer, deep_of_search):
-                                        internet_answer += str(r) + "\n\n" 
-                                        l = r['url']
-                                        source.append(l)
-                                        news.append(r)
-
-                                
-                            full_text.append(internet_result)
-                            full_text.append(internet_answer)
-
-                        if yt_result == True:
-                            with st.spinner('🎥 Searching on YT...'):
-                                from youtubesearchpython import VideosSearch
-                                videosSearch = VideosSearch(topic, limit = deep_of_search)
-                                yt_result = videosSearch.result()
-                                for i in yt_result['result']: # type: ignore
-                                    duration = i['duration'] # type: ignore
-                                    duration = duration.split(':')
-                                    if len(duration) == 3:
-                                        #skip videos longer than 1 hour
-                                        if int(duration[0]) > 1:
-                                            continue
-                                    if len(duration) == 2:
-                                        #skip videos longer than 30 minutes
-                                        if int(duration[0]) > 30:
-                                            continue
-                                    yt_ids.append(i['id']) # type: ignore
-                                    source.append("https://www.youtube.com/watch?v="+i['id']) # type: ignore
-                                    full_text.append(i['title']) # type: ignore
-
-
-                        if website_result == True:
-                            for l in links:
-                                try:
-                                    with st.spinner(f'👨‍💻 Scraping website : {l}'):
-                                        r = requests.get(l)
-                                        soup = BeautifulSoup(r.content, 'html.parser')
-                                        full_text.append(soup.get_text()+"\n\n")
-                                except:
-                                    pass
-
-                        for id in yt_ids:
-                            try:
-                                yt_video_txt= []
-                                with st.spinner(f'👨‍💻 Scraping YT video : {id}'):
-                                    transcript_list = YouTubeTranscriptApi.list_transcripts(id)
-                                    transcript_en = None
-                                    last_language = ""
-                                    for transcript in transcript_list:
-                                        if transcript.language_code == 'en':
-                                            transcript_en = transcript
-                                            break
-                                        else:
-                                            last_language = transcript.language_code
-                                    if transcript_en is None:   
-                                        transcript_en = transcript_list.find_transcript([last_language])
-                                        transcript_en = transcript_en.translate('en')
-
-                                    text = transcript_en.fetch()
-                                    yt_video_txt.append(text)
-
-                                    for i in range(len(yt_video_txt)):
-                                        for j in range(len(yt_video_txt[i])):
-                                            full_text.append(yt_video_txt[i][j]['text'])
-
-
-                            except:
-                                pass
-
-                        with st.spinner('🧠 Building vectorstore with knowledge...'):
-                            full_text = "\n".join(full_text)
-                            st.session_state['god_text'] = [full_text]
-                            text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                            texts = text_splitter.create_documents([full_text])
-                            # Select embeddings
-                            embeddings = st.session_state['hf']
-                            # Create a vectorstore from documents
-                            random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                            db = Chroma.from_documents(texts, embeddings, persist_directory="./chroma_db_" + random_str)
-
-                        with st.spinner('🔨 Saving vectorstore...'):
-                            # save vectorstore
-                            db.persist()
-                            #create .zip file of directory to download
-                            shutil.make_archive("./chroma_db_" + random_str, 'zip', "./chroma_db_" + random_str)
-                            # save in session state and download
-                            st.session_state['db'] = "./chroma_db_" + random_str + ".zip" 
-                        
-                        with st.spinner('🔨 Creating QA chain...'):
-                            # Create retriever interface
-                            retriever = db.as_retriever()
-                            # Create QA chain
-                            qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-                            st.session_state['god_mode'] = qa
-                            st.session_state['god_mode_source'] = source
-                            st.session_state['god_mode_info'] = "🧠 GOD MODE have builded a vectorstore about **" + topic + f"**. The knowledge is based on\n- {len(news)} news🗞\n- {len(yt_ids)} YT videos📺\n- {len(links)} websites🌐 \n"
-                        
-                        st.experimental_rerun()
-                                
-
-        if st.session_state['plugin'] == "🧠 GOD MODE" and 'god_mode' in st.session_state:
-            with st.expander("**✅ GOD MODE is enabled 🚀**", expanded=True):
-                st.markdown(st.session_state['god_mode_info'])
-                if 'db' in st.session_state:
-                    # leave ./ from name for download
-                    file_name = st.session_state['db'][2:]
-                    st.download_button(
-                        label="📩 Download vectorstore",
-                        data=open(file_name, 'rb').read(),
-                        file_name=file_name,
-                        mime='application/zip'
-                    )
-                if st.button('🧠🛑 Disable GOD MODE'):
-                    del st.session_state['god_mode']
-                    del st.session_state['db']
-                    del st.session_state['god_text']
-                    del st.session_state['god_mode_info']
-                    del st.session_state['god_mode_source']
-                    del st.session_state['plugin']
-                    st.experimental_rerun()
-            
-
-# DATA PLUGIN
-        if st.session_state['plugin'] == "📋 Talk with your DATA" and 'df' not in st.session_state:
-            with st.expander("📋 Talk with your DATA", expanded= True):
-                upload_csv = st.file_uploader("Upload your CSV", type=['csv'])
-                if upload_csv is not None:
-                    df = pd.read_csv(upload_csv)
-                    st.session_state['df'] = df
-                    st.experimental_rerun()
-        if st.session_state['plugin'] == "📋 Talk with your DATA":
-            if st.button('🛑📋 Remove DATA from context'):
-                if 'df' in st.session_state:
-                    del st.session_state['df']
-                del st.session_state['plugin']
-                st.experimental_rerun()
-
-
-
-# DOCUMENTS PLUGIN
-        if st.session_state['plugin'] == "📝 Talk with your DOCUMENTS" and 'documents' not in st.session_state:
-            with st.expander("📝 Talk with your DOCUMENT", expanded=True):  
-                upload_pdf = st.file_uploader("Upload your DOCUMENT", type=['txt', 'pdf', 'docx'], accept_multiple_files=True)
-                if upload_pdf is not None and st.button('📝✅ Load Documents'):
-                    documents = []
-                    with st.spinner('🔨 Reading documents...'):
-                        for upload_pdf in upload_pdf:
-                            print(upload_pdf.type)
-                            if upload_pdf.type == 'text/plain':
-                                documents += [upload_pdf.read().decode()]
-                            elif upload_pdf.type == 'application/pdf':
-                                with pdfplumber.open(upload_pdf) as pdf:
-                                    documents += [page.extract_text() for page in pdf.pages]
-                            elif upload_pdf.type == "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
-                                text = docx2txt.process(upload_pdf)
-                                documents += [text]
-                    st.session_state['documents'] = documents
-                    # Split documents into chunks
-                    with st.spinner('🔨 Creating vectorstore...'):
-                        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                        texts = text_splitter.create_documents(documents)
-                        # Select embeddings
-                        embeddings = st.session_state['hf']
-                        # Create a vectorstore from documents
-                        random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                        db = Chroma.from_documents(texts, embeddings, persist_directory="./chroma_db_" + random_str)
-
-                    with st.spinner('🔨 Saving vectorstore...'):
-                        # save vectorstore
-                        db.persist()
-                        #create .zip file of directory to download
-                        shutil.make_archive("./chroma_db_" + random_str, 'zip', "./chroma_db_" + random_str)
-                        # save in session state and download
-                        st.session_state['db'] = "./chroma_db_" + random_str + ".zip" 
-                    
-                    with st.spinner('🔨 Creating QA chain...'):
-                        # Create retriever interface
-                        retriever = db.as_retriever()
-                        # Create QA chain
-                        qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever,  return_source_documents=True)
-                        st.session_state['pdf'] = qa
-
-                    st.experimental_rerun()
-
-        if st.session_state['plugin'] == "📝 Talk with your DOCUMENTS":
-            if 'db' in st.session_state:
-                # leave ./ from name for download
-                file_name = st.session_state['db'][2:]
-                st.download_button(
-                    label="📩 Download vectorstore",
-                    data=open(file_name, 'rb').read(),
-                    file_name=file_name,
-                    mime='application/zip'
-                )
-            if st.button('🛑📝 Remove PDF from context'):
-                if 'pdf' in st.session_state:
-                    del st.session_state['db']
-                    del st.session_state['pdf']
-                    del st.session_state['documents']
-                del st.session_state['plugin']
-                    
-                st.experimental_rerun()
-
-# AUDIO PLUGIN
-        if st.session_state['plugin'] == "🎧 Talk with your AUDIO" and 'audio' not in st.session_state:
-            with st.expander("🎙 Talk with your AUDIO", expanded=True):
-                f = st.file_uploader("Upload your AUDIO", type=['wav', 'mp3'])
-                if f is not None:
-                    if f.type == 'audio/mpeg':
-                        #convert mp3 to wav
-                        with st.spinner('🔨 Converting mp3 to wav...'):
-                            #save mp3
-                            with open('audio.mp3', 'wb') as out:
-                                out.write(f.read())
-                            #convert to wav
-                            sound = AudioSegment.from_mp3("audio.mp3")
-                            sound.export("audio.wav", format="wav")
-                            file_name = 'audio.wav'
-                    else:
-                        with open(f.name, 'wb') as out:
-                            out.write(f.read())
-      
-                        bytes_data = f.read()
-                        file_name = f.name
-                    
-                    r = sr.Recognizer()
-                    #Given audio file must be a filename string or a file-like object
-
-
-                    with st.spinner('🔨 Reading audio...'):
-                        with sr.AudioFile(file_name) as source:
-                            # listen for the data (load audio to memory)
-                            audio_data = r.record(source)
-                            # recognize (convert from speech to text)
-                            text = r.recognize_google(audio_data)
-                    data = [text]
-                    # data = query(bytes_data)
-                    with st.spinner('🎙 Creating Vectorstore...'):
-
-                        #split text into chunks
-                        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                        texts = text_splitter.create_documents(text)
-
-                        embeddings = st.session_state['hf']
-                        # Create a vectorstore from documents
-                        random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                        db = Chroma.from_documents(texts, embeddings, persist_directory="./chroma_db_" + random_str)
-                        # save vectorstore
-                    
-                    with st.spinner('🎙 Saving Vectorstore...'):
-                        db.persist()
-                        #create .zip file of directory to download
-                        shutil.make_archive("./chroma_db_" + random_str, 'zip', "./chroma_db_" + random_str)
-                        # save in session state and download
-                        st.session_state['db'] = "./chroma_db_" + random_str + ".zip" 
-
-                    with st.spinner('🎙 Creating QA chain...'):
-                        # Create retriever interface
-                        retriever = db.as_retriever()
-                        # Create QA chain
-                        qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-                        st.session_state['audio'] = qa
-                        st.session_state['audio_text'] = text
-                    st.experimental_rerun()
-                    
-        if st.session_state['plugin'] == "🎧 Talk with your AUDIO":
-            if 'db' in st.session_state:
-                    # leave ./ from name for download
-                    file_name = st.session_state['db'][2:]
-                    st.download_button(
-                        label="📩 Download vectorstore",
-                        data=open(file_name, 'rb').read(),
-                        file_name=file_name,
-                        mime='application/zip'
-                    )
-            if st.button('🛑🎙 Remove AUDIO from context'):
-                if 'audio' in st.session_state:
-                    del st.session_state['db']
-                    del st.session_state['audio']
-                    del st.session_state['audio_text']
-                del st.session_state['plugin']
-                st.experimental_rerun()
-
-
-# YT PLUGIN
-        if st.session_state['plugin'] == "🎥 Talk with YT video" and 'yt' not in st.session_state:
-            with st.expander("🎥 Talk with YT video", expanded=True):
-                yt_url = st.text_input("1.📺 Enter a YouTube URL")
-                yt_url2 = st.text_input("2.📺 Enter a YouTube URL")
-                yt_url3 = st.text_input("3.📺 Enter a YouTube URL")
-                if yt_url is not None and st.button('🎥✅ Add YouTube video to context'):
-                    if yt_url != "":
-                        video = 1
-                        yt_url = yt_url.split("=")[1]
-                        if yt_url2 != "":
-                            yt_url2 = yt_url2.split("=")[1]
-                            video = 2
-                        if yt_url3 != "":
-                            yt_url3 = yt_url3.split("=")[1]
-                            video = 3
-
-                        text_yt = []
-                        text_list = []
-                        for i in range(video):
-                            with st.spinner(f'🎥 Extracting TEXT from YouTube video {str(i)} ...'):
-                                #get en subtitles
-                                transcript_list = YouTubeTranscriptApi.list_transcripts(yt_url)
-                                transcript_en = None
-                                last_language = ""
-                                for transcript in transcript_list:
-                                    if transcript.language_code == 'en':
-                                        transcript_en = transcript
-                                        break
-                                    else:
-                                        last_language = transcript.language_code
-                                if transcript_en is None:   
-                                    transcript_en = transcript_list.find_transcript([last_language])
-                                    transcript_en = transcript_en.translate('en')
-
-                                text = transcript_en.fetch()
-                                text_yt.append(text)
-
-                        for i in range(len(text_yt)):
-                            for j in range(len(text_yt[i])):
-                                text_list.append(text_yt[i][j]['text'])
-                        
-                        # creating a vectorstore
-
-                        with st.spinner('🎥 Creating Vectorstore...'):
-                            text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                            texts = text_splitter.create_documents(text_list)
-                            # Select embeddings
-                            embeddings = st.session_state['hf']
-                            # Create a vectorstore from documents
-                            random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                            db = Chroma.from_documents(texts, embeddings, persist_directory="./chroma_db_" + random_str)
-
-                        with st.spinner('🎥 Saving Vectorstore...'):
-                            # save vectorstore
-                            db.persist()
-                            #create .zip file of directory to download
-                            shutil.make_archive("./chroma_db_" + random_str, 'zip', "./chroma_db_" + random_str)
-                            # save in session state and download
-                            st.session_state['db'] = "./chroma_db_" + random_str + ".zip" 
-
-                        with st.spinner('🎥 Creating QA chain...'):
-                            # Create retriever interface
-                            retriever = db.as_retriever()
-                            # Create QA chain
-                            qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-                            st.session_state['yt'] = qa
-                            st.session_state['yt_text'] = text_list
-                        st.experimental_rerun()
-
-        if st.session_state['plugin'] == "🎥 Talk with YT video":
-            if 'db' in st.session_state:
-                # leave ./ from name for download
-                file_name = st.session_state['db'][2:]
-                st.download_button(
-                    label="📩 Download vectorstore",
-                    data=open(file_name, 'rb').read(),
-                    file_name=file_name,
-                    mime='application/zip'
-                )
-
-            if st.button('🛑🎥 Remove YT video from context'):
-                if 'yt' in st.session_state:
-                    del st.session_state['db']
-                    del st.session_state['yt']
-                    del st.session_state['yt_text']
-                del st.session_state['plugin']
-                st.experimental_rerun()
-
-# WEBSITE PLUGIN
-        if st.session_state['plugin'] == "🔗 Talk with Website" and 'web_sites' not in st.session_state:
-            with st.expander("🔗 Talk with Website", expanded=True):
-                web_url = st.text_area("🔗 Enter a website URLs , one for each line")
-                if web_url is not None and st.button('🔗✅ Add website to context'):
-                    if web_url != "":
-                        text = []
-                        #max 10 websites
-                        with st.spinner('🔗 Extracting TEXT from Websites ...'):
-                            for url in web_url.split("\n")[:10]:
-                                page = requests.get(url)
-                                soup = BeautifulSoup(page.content, 'html.parser')
-                                text.append(soup.get_text())
-                            # creating a vectorstore
-
-                        with st.spinner('🔗 Creating Vectorstore...'):
-                            text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-                            texts = text_splitter.create_documents(text)
-                            # Select embeddings
-                            embeddings = st.session_state['hf']
-                            # Create a vectorstore from documents
-                            random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                            db = Chroma.from_documents(texts, embeddings, persist_directory="./chroma_db_" + random_str)
-                        
-                        with st.spinner('🔗 Saving Vectorstore...'):
-                            # save vectorstore
-                            db.persist()
-                            #create .zip file of directory to download
-                            shutil.make_archive("./chroma_db_" + random_str, 'zip', "./chroma_db_" + random_str)
-                            # save in session state and download
-                            st.session_state['db'] = "./chroma_db_" + random_str + ".zip" 
-                        
-                        with st.spinner('🔗 Creating QA chain...'):
-                            # Create retriever interface
-                            retriever = db.as_retriever()
-                            # Create QA chain
-                            qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-                            st.session_state['web_sites'] = qa
-                            st.session_state['web_text'] = text
-                        st.experimental_rerun()
-        
-        if st.session_state['plugin'] == "🔗 Talk with Website":
-            if 'db' in st.session_state:
-                # leave ./ from name for download
-                file_name = st.session_state['db'][2:]
-                st.download_button(
-                    label="📩 Download vectorstore",
-                    data=open(file_name, 'rb').read(),
-                    file_name=file_name,
-                    mime='application/zip'
-                )
-
-            if st.button('🛑🔗 Remove Website from context'):
-                if 'web_sites' in st.session_state:
-                    del st.session_state['db']
-                    del st.session_state['web_sites']
-                    del st.session_state['web_text']
-                del st.session_state['plugin']
-                st.experimental_rerun()
-
-                            
-# UPLOAD PREVIUS VECTORSTORE
-        if st.session_state['plugin'] == "💾 Upload saved VectorStore" and 'old_db' not in st.session_state:
-            with st.expander("💾 Upload saved VectorStore", expanded=True):
-                db_file = st.file_uploader("Upload a saved VectorStore", type=["zip"])
-                if db_file is not None and st.button('✅💾 Add saved VectorStore to context'):
-                    if db_file != "":
-                        with st.spinner('💾 Extracting VectorStore...'):
-                            # unzip file in a new directory
-                            with ZipFile(db_file, 'r') as zipObj:
-                                # Extract all the contents of zip file in different directory
-                                random_str = ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
-                                zipObj.extractall("chroma_db_" + random_str)
-                            # save in session state the path of the directory
-                            st.session_state['old_db'] = "chroma_db_" + random_str
-                            hf = st.session_state['hf']
-                            # Create retriever interface
-                            db = Chroma("chroma_db_" + random_str, embedding_function=hf)
-
-                        with st.spinner('💾 Creating QA chain...'):
-                            retriever = db.as_retriever()
-                            # Create QA chain
-                            qa = RetrievalQA.from_chain_type(llm=st.session_state['LLM'], chain_type='stuff', retriever=retriever, return_source_documents=True)
-                            st.session_state['old_db'] = qa
-                            st.experimental_rerun()
-
-        if st.session_state['plugin'] == "💾 Upload saved VectorStore":
-            if st.button('🛑💾 Remove VectorStore from context'):
-                if 'old_db' in st.session_state:
-                    del st.session_state['old_db']
-                del st.session_state['plugin']
-                st.experimental_rerun()
-
-
-# END OF PLUGIN
-    add_vertical_space(4)
-    if 'hf_email' in st.session_state:
-        if st.button('🗑 Logout'):
-            keys = list(st.session_state.keys())
-            for key in keys:
-                del st.session_state[key]
-            st.experimental_rerun()
-
-    export_chat()
-    add_vertical_space(5)
-
-##### End of sidebar
-
-
-# User input
-# Layout of input/response containers
-input_container = st.container()
-response_container = st.container()
-data_view_container = st.container()
-loading_container = st.container()
-
-
-
-## Applying the user input box
-with input_container:
-        input_text = st.chat_input("🧑‍💻 Write here 👇", key="input")
-
-with data_view_container:
-    if 'df' in st.session_state:
-        with st.expander("🤖 View your **DATA**"):
-            st.data_editor(st.session_state['df'], use_container_width=True)
-    if 'pdf' in st.session_state:
-        with st.expander("🤖 View your **DOCUMENTs**"):
-            st.write(st.session_state['documents'])
-    if 'audio' in st.session_state:
-        with st.expander("🤖 View your **AUDIO**"):
-            st.write(st.session_state['audio_text'])
-    if 'yt' in st.session_state:
-        with st.expander("🤖 View your **YT video**"):
-            st.write(st.session_state['yt_text'])
-    if 'web_text' in st.session_state:
-        with st.expander("🤖 View the **Website content**"):
-            st.write(st.session_state['web_text'])
-    if 'old_db' in st.session_state:
-        with st.expander("🗂 View your **saved VectorStore**"):
-            st.success("📚 VectorStore loaded")
-    if 'god_mode_source' in st.session_state:
-        with st.expander("🌍 View source"):
-            for s in st.session_state['god_mode_source']:
-                st.markdown("- " + s)
-
-# Response output
-## Function for taking user prompt as input followed by producing AI generated responses
-def generate_response(prompt):
-    final_prompt =  ""
-    make_better = True
-    source = ""
-
-    with loading_container:
-
-        # FOR DEVELOPMENT PLUGIN
-        # if st.session_state['plugin'] == "🔌 PLUGIN NAME" and 'PLUGIN DB' in st.session_state:
-        #     with st.spinner('🚀 Using PLUGIN NAME...'):
-        #         solution = st.session_state['PLUGIN DB']({"query": prompt})
-        #         final_prompt = YourCustomPrompt(prompt, context)
-        
-
-        if st.session_state['plugin'] == "📋 Talk with your DATA" and 'df' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            if prompt.find('python') != -1 or prompt.find('Code') != -1 or prompt.find('code') != -1 or prompt.find('Python') != -1:
-                with st.spinner('🚀 Using tool for python code...'):
-                    solution = "\n```python\n" 
-                    solution += st.session_state['df'].sketch.howto(prompt, call_display=False)
-                    solution += "\n```\n\n"
-                    final_prompt = prompt4Code(prompt, context, solution)
-            else:  
-                with st.spinner('🚀 Using tool to get information...'):
-                    solution = st.session_state['df'].sketch.ask(prompt, call_display=False)
-                    final_prompt = prompt4Data(prompt, context, solution)
-
-
-        elif st.session_state['plugin'] == "📝 Talk with your DOCUMENTS" and 'pdf' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['pdf']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4Context(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-
-
-        elif st.session_state['plugin'] == "🧠 GOD MODE" and 'god_mode' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['god_mode']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4Context(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-
-
-        elif st.session_state['plugin'] == "🔗 Talk with Website" and 'web_sites' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['web_sites']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4Context(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-                    
-
-
-        elif st.session_state['plugin'] == "💾 Upload saved VectorStore" and 'old_db' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['old_db']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4Context(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-
-
-        elif st.session_state['plugin'] == "🎧 Talk with your AUDIO" and 'audio' in st.session_state:
-            #get only last message
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['audio']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4Audio(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-
-
-        elif st.session_state['plugin'] == "🎥 Talk with YT video" and 'yt' in st.session_state:
-            context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            with st.spinner('🚀 Using tool to get information...'):
-                result = st.session_state['yt']({"query": prompt})
-                solution = result["result"]
-                if len(solution.split()) > 110:
-                    make_better = False
-                    final_prompt = solution
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        final_prompt += "\n\n✅Source:\n" 
-                        for d in result["source_documents"]:
-                            final_prompt += "- " + str(d) + "\n"
-                else:
-                    final_prompt = prompt4YT(prompt, context, solution)
-                    if 'source_documents' in result and len(result["source_documents"]) > 0:
-                        source += "\n\n✅Source:\n"
-                        for d in result["source_documents"]:
-                            source += "- " + str(d) + "\n"
-    
-
-        else:
-            #get last message if exists
-            if len(st.session_state['past']) == 1:
-                context = f"User: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            else:
-                context = f"User: {st.session_state['past'][-2]}\nBot: {st.session_state['generated'][-2]}\nUser: {st.session_state['past'][-1]}\nBot: {st.session_state['generated'][-1]}\n"
-            
-            if 'web_search' in st.session_state:
-                if st.session_state['web_search'] == "True":
-                    with st.spinner('🚀 Using internet to get information...'):
-                        internet_result = ""
-                        internet_answer = ""
-                        with DDGS() as ddgs:
-                            ddgs_gen = ddgs.text(prompt, region=st.session_state['region'], safesearch=st.session_state['safesearch'], timelimit=st.session_state['timelimit'])
-                            for r in islice(ddgs_gen, st.session_state['max_results']):
-                                internet_result += str(r) + "\n\n"
-                            fast_answer = ddgs.answers(prompt)
-                            for r in islice(fast_answer, 2):
-                                internet_answer += str(r) + "\n\n"
-
-                        final_prompt = prompt4conversationInternet(prompt, context, internet_result, internet_answer)
-                else:
-                    final_prompt = prompt4conversation(prompt, context)
-            else:
-                final_prompt = prompt4conversation(prompt, context)
-
-        if make_better:
-            with st.spinner('🚀 Generating response...'):
-                print(final_prompt)
-                response = st.session_state['chatbot'].chat(final_prompt, temperature=temperature, top_p=top_p, repetition_penalty=repetition_penalty, top_k=top_k, max_new_tokens=max_new_tokens)
-                response += source
-        else:
-            print(final_prompt)
-            response = final_prompt
-
-    return response
-
-## Conditional display of AI generated responses as a function of user provided prompts
-with response_container:
-    if input_text and 'hf_email' in st.session_state and 'hf_pass' in st.session_state:
-        response = generate_response(input_text)
-        st.session_state.past.append(input_text)
-        st.session_state.generated.append(response)
-    
-
-    #print message in normal order, frist user then bot
-    if 'generated' in st.session_state:
-        if st.session_state['generated']:
-            for i in range(len(st.session_state['generated'])):
-                with st.chat_message(name="user"):
-                    st.markdown(st.session_state['past'][i])
-                
-                with st.chat_message(name="assistant"):
-                    if len(st.session_state['generated'][i].split("✅Source:")) > 1:
-                        source = st.session_state['generated'][i].split("✅Source:")[1]
-                        mess = st.session_state['generated'][i].split("✅Source:")[0]
-
-                        st.markdown(mess)
-                        with st.expander("📚 Source of message number " + str(i+1)):
-                            st.markdown(source)
-
-                    else:
-                        st.markdown(st.session_state['generated'][i])
-
-            st.markdown('', unsafe_allow_html=True)
-            
-            
-    else:
-        st.info("👋 Hey , we are very happy to see you here 🤗")
-        st.info("👉 Please Login to continue, click on top left corner to login 🚀")
-        st.error("👉 If you are not registered on Hugging Face, please register first and then login 🤗")