Update with h2oGPT hash e4482a4c59016517cd0d5513bc15b78b46f4598a

LICENSE

@@ -0,0 +1,201 @@
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+
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app.py

@@ -1 +1 @@
-generate.py
+gen.py

gradio_utils/css.py

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+def get_css(kwargs) -> str:
+    if kwargs['h2ocolors']:
+        css_code = """footer {visibility: hidden;}
+        body{background:linear-gradient(#f5f5f5,#e5e5e5);}
+        body.dark{background:linear-gradient(#000000,#0d0d0d);}
+        """
+    else:
+        css_code = """footer {visibility: hidden}"""
+
+    css_code += make_css_base()
+    return css_code
+
+
+def make_css_base() -> str:
+    return """
+    @import url('https://fonts.googleapis.com/css2?family=Source+Sans+Pro:wght@400;600&display=swap');
+    
+    body.dark{#warning {background-color: #555555};}
+    
+    #small_btn {
+        margin: 0.6em 0em 0.55em 0;
+        max-width: 20em;
+        min-width: 5em !important;
+        height: 5em;
+        font-size: 14px !important;
+    }
+    
+    #prompt-form {
+        border: 1px solid var(--primary-500) !important;
+    }
+    
+    #prompt-form.block {
+        border-radius: var(--block-radius) !important;
+    }
+    
+    #prompt-form textarea {
+        border: 1px solid rgb(209, 213, 219);
+    }
+    
+    #prompt-form label > div {
+        margin-top: 4px;
+    }
+    
+    button.primary:hover {
+        background-color: var(--primary-600) !important;
+        transition: .2s;
+    }
+    
+    #prompt-form-area {
+        margin-bottom: 2.5rem;
+    }
+    .chatsmall chatbot {font-size: 10px !important}
+    """

gradio_utils/grclient.py

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+import traceback
+from typing import Callable
+import os
+
+from gradio_client.client import Job
+
+os.environ['HF_HUB_DISABLE_TELEMETRY'] = '1'
+
+from gradio_client import Client
+
+
+class GradioClient(Client):
+    """
+    Parent class of gradio client
+    To handle automatically refreshing client if detect gradio server changed
+    """
+
+    def __init__(self, *args, **kwargs):
+        self.args = args
+        self.kwargs = kwargs
+        super().__init__(*args, **kwargs)
+        self.server_hash = self.get_server_hash()
+
+    def get_server_hash(self):
+        """
+        Get server hash using super without any refresh action triggered
+        Returns: git hash of gradio server
+        """
+        return super().submit(api_name='/system_hash').result()
+
+    def refresh_client_if_should(self):
+        # get current hash in order to update api_name -> fn_index map in case gradio server changed
+        # FIXME: Could add cli api as hash
+        server_hash = self.get_server_hash()
+        if self.server_hash != server_hash:
+            self.refresh_client()
+            self.server_hash = server_hash
+        else:
+            self.reset_session()
+
+    def refresh_client(self):
+        """
+        Ensure every client call is independent
+        Also ensure map between api_name and fn_index is updated in case server changed (e.g. restarted with new code)
+        Returns:
+        """
+        # need session hash to be new every time, to avoid "generator already executing"
+        self.reset_session()
+
+        client = Client(*self.args, **self.kwargs)
+        for k, v in client.__dict__.items():
+            setattr(self, k, v)
+
+    def submit(
+        self,
+        *args,
+        api_name: str | None = None,
+        fn_index: int | None = None,
+        result_callbacks: Callable | list[Callable] | None = None,
+    ) -> Job:
+        # Note predict calls submit
+        try:
+            self.refresh_client_if_should()
+            job = super().submit(*args, api_name=api_name, fn_index=fn_index)
+        except Exception as e:
+            print("Hit e=%s" % str(e), flush=True)
+            # force reconfig in case only that
+            self.refresh_client()
+            job = super().submit(*args, api_name=api_name, fn_index=fn_index)
+
+        # see if immediately failed
+        e = job.future._exception
+        if e is not None:
+            print("GR job failed: %s %s" % (str(e), ''.join(traceback.format_tb(e.__traceback__))), flush=True)
+            # force reconfig in case only that
+            self.refresh_client()
+            job = super().submit(*args, api_name=api_name, fn_index=fn_index)
+            e2 = job.future._exception
+            if e2 is not None:
+                print("GR job failed again: %s\n%s" % (str(e2), ''.join(traceback.format_tb(e2.__traceback__))), flush=True)
+
+        return job

gradio_utils/prompt_form.py

@@ -0,0 +1,124 @@
+import os
+import math
+
+import gradio as gr
+
+from enums import LangChainMode
+
+
+def make_chatbots(output_label0, output_label0_model2, **kwargs):
+    text_outputs = []
+    chat_kwargs = []
+    for model_state_lock in kwargs['model_states']:
+        if os.environ.get('DEBUG_MODEL_LOCK'):
+            model_name = model_state_lock["base_model"] + " : " + model_state_lock["inference_server"]
+        else:
+            model_name = model_state_lock["base_model"]
+        output_label = f'h2oGPT [{model_name}]'
+        min_width = 250 if kwargs['gradio_size'] in ['small', 'large', 'medium'] else 160
+        chat_kwargs.append(dict(label=output_label, visible=kwargs['model_lock'], elem_classes='chatsmall',
+                                height=kwargs['height'] or 400, min_width=min_width))
+
+    if kwargs['model_lock_columns'] == -1:
+        kwargs['model_lock_columns'] = len(kwargs['model_states'])
+    if kwargs['model_lock_columns'] is None:
+        kwargs['model_lock_columns'] = 3
+
+    ncols = kwargs['model_lock_columns']
+    if kwargs['model_states'] == 0:
+        nrows = 0
+    else:
+        nrows = math.ceil(len(kwargs['model_states']) / kwargs['model_lock_columns'])
+
+    if kwargs['model_lock_columns'] == 0:
+        # not using model_lock
+        pass
+    elif nrows <= 1:
+        with gr.Row():
+            for chat_kwargs1, model_state_lock in zip(chat_kwargs, kwargs['model_states']):
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+    elif nrows == kwargs['model_states']:
+        with gr.Row():
+            for chat_kwargs1, model_state_lock in zip(chat_kwargs, kwargs['model_states']):
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+    elif nrows == 2:
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii >= len(kwargs['model_states']) / 2:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < len(kwargs['model_states']) / 2:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+    elif nrows == 3:
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii >= 1 * len(kwargs['model_states']) / 3:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < 1 * len(kwargs['model_states']) / 3 or mii >= 2 * len(kwargs['model_states']) / 3:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < 2 * len(kwargs['model_states']) / 3:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+    elif nrows >= 4:
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii >= 1 * len(kwargs['model_states']) / 4:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < 1 * len(kwargs['model_states']) / 4 or mii >= 2 * len(kwargs['model_states']) / 4:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < 2 * len(kwargs['model_states']) / 4 or mii >= 3 * len(kwargs['model_states']) / 4:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+        with gr.Row():
+            for mii, (chat_kwargs1, model_state_lock) in enumerate(zip(chat_kwargs, kwargs['model_states'])):
+                if mii < 3 * len(kwargs['model_states']) / 4:
+                    continue
+                text_outputs.append(gr.Chatbot(**chat_kwargs1))
+
+    with gr.Row():
+        text_output = gr.Chatbot(label=output_label0, visible=not kwargs['model_lock'], height=kwargs['height'] or 400)
+        text_output2 = gr.Chatbot(label=output_label0_model2,
+                                  visible=False and not kwargs['model_lock'], height=kwargs['height'] or 400)
+    return text_output, text_output2, text_outputs
+
+
+def make_prompt_form(kwargs):
+    if kwargs['langchain_mode'] != LangChainMode.DISABLED.value:
+        extra_prompt_form = ".  For summarization, empty submission uses first top_k_docs documents."
+    else:
+        extra_prompt_form = ""
+    if kwargs['input_lines'] > 1:
+        instruction_label = "Shift-Enter to Submit, Enter for more lines%s" % extra_prompt_form
+    else:
+        instruction_label = "Enter to Submit, Shift-Enter for more lines%s" % extra_prompt_form
+
+    with gr.Row():#elem_id='prompt-form-area'):
+        with gr.Column(scale=50):
+            instruction = gr.Textbox(
+                lines=kwargs['input_lines'],
+                label='Ask anything',
+                placeholder=instruction_label,
+                info=None,
+                elem_id='prompt-form',
+                container=True,
+            )
+        with gr.Row():
+            submit = gr.Button(value='Submit', variant='primary', scale=0, size='sm')
+            stop_btn = gr.Button(value="Stop", variant='secondary', scale=0, size='sm')
+
+    return instruction, submit, stop_btn

iterators/__init__.py

@@ -0,0 +1,4 @@
+from .timeout_iterator import TimeoutIterator, AsyncTimeoutIterator
+from .iterator_pipe import IteratorPipe, AsyncIteratorPipe
+
+__all__ = ["TimeoutIterator", "AsyncTimeoutIterator", "IteratorPipe", "AsyncIteratorPipe"]

iterators/iterator_pipe.py

@@ -0,0 +1,93 @@
+import queue
+import asyncio
+
+
+class IteratorPipe:
+    """
+    Iterator Pipe creates an iterator that can be fed in data from another block of code or thread of execution
+    """
+
+    def __init__(self, sentinel=object()):
+        self._q = queue.Queue()
+        self._sentinel = sentinel
+        self._sentinel_pushed = False
+        self._closed = False
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        if self._closed:
+            raise StopIteration
+
+        data = self._q.get(block=True)
+        if data is self._sentinel:
+            self._closed = True
+            raise StopIteration
+
+        return data
+
+    def put(self, data) -> bool:
+        """
+        Pushes next item to Iterator and returns True
+        If iterator has been closed via close(), doesn't push anything and returns False
+        """
+        if self._sentinel_pushed:
+            return False
+
+        self._q.put(data)
+        return True
+
+    def close(self):
+        """
+        Close is idempotent. Calling close multiple times is safe
+        Iterator will raise StopIteration only after all elements pushed before close have been iterated
+        """
+        # make close idempotent
+        if not self._sentinel_pushed:
+            self._sentinel_pushed = True
+        self._q.put(self._sentinel)
+
+
+class AsyncIteratorPipe:
+
+    def __init__(self, sentinel=object()):
+        self._q = asyncio.Queue()
+        self._sentinel = sentinel
+        self._sentinel_pushed = False
+        self._closed = False
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        if self._closed:
+            raise StopAsyncIteration
+
+        data = await self._q.get()
+        if data is self._sentinel:
+            self._closed = True
+            raise StopAsyncIteration
+
+        return data
+
+    async def put(self, data) -> bool:
+        """
+        Pushes next item to Iterator and returns True
+        If iterator has been closed via close(), doesn't push anything and returns False
+        """
+        if self._sentinel_pushed:
+            return False
+
+        await self._q.put(data)
+        return True
+
+    async def close(self):
+        """
+        Close is idempotent. Calling close multiple times is safe
+        Iterator will raise StopIteration only after all elements pushed before close have been iterated
+        """
+        # make close idempotent
+        if not self._sentinel_pushed:
+            self._sentinel_pushed = True
+            await self._q.put(self._sentinel)

iterators/timeout_iterator.py

@@ -0,0 +1,170 @@
+import queue
+import asyncio
+import threading
+import traceback
+
+
+class TimeoutIterator:
+    """
+    Wrapper class to add timeout feature to synchronous iterators
+    - timeout: timeout for next(). Default=ZERO_TIMEOUT i.e. no timeout or blocking calls to next. Updated using set_timeout() 
+    - sentinel: the object returned by iterator when timeout happens
+    - reset_on_next: if set to True, timeout is reset to the value of ZERO_TIMEOUT on each iteration
+
+    TimeoutIterator uses a thread internally.
+    The thread stops once the iterator exhausts or raises an exception during iteration.
+
+    Any exceptions raised within the wrapped iterator are propagated as it is.
+    Exception is raised when all elements generated by the actual iterator before exception have been consumed
+    Timeout can be set dynamically before going for iteration
+    """
+    ZERO_TIMEOUT = 0.0
+
+    def __init__(self, iterator, timeout=0.0, sentinel=object(), reset_on_next=False, raise_on_exception=True):
+        self._iterator = iterator
+        self._timeout = timeout
+        self._sentinel = sentinel
+        self._reset_on_next = reset_on_next
+        self._raise_on_exception = raise_on_exception
+
+        self._interrupt = False
+        self._done = False
+        self._buffer = queue.Queue()
+        self._thread = threading.Thread(target=self.__lookahead)
+        self._thread.start()
+
+    def get_sentinel(self):
+        return self._sentinel
+
+    def set_reset_on_next(self, reset_on_next):
+        self._reset_on_next = reset_on_next
+
+    def set_timeout(self, timeout: float):
+        """
+        Set timeout for next iteration
+        """
+        self._timeout = timeout
+
+    def interrupt(self):
+        """
+        interrupt and stop the underlying thread.
+        the thread acutally dies only after interrupt has been set and
+        the underlying iterator yields a value after that.
+        """
+        self._interrupt = True
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        """
+        yield the result from iterator
+        if timeout > 0:
+            yield data if available.
+            otherwise yield sentinal
+        """
+        if self._done:
+            raise StopIteration
+
+        data = self._sentinel
+        try:
+            if self._timeout > self.ZERO_TIMEOUT:
+                data = self._buffer.get(timeout=self._timeout)
+            else:
+                data = self._buffer.get()
+        except queue.Empty:
+            pass
+        finally:
+            # see if timeout needs to be reset
+            if self._reset_on_next:
+                self._timeout = self.ZERO_TIMEOUT
+
+        # propagate any exceptions including StopIteration
+        if isinstance(data, BaseException):
+            self._done = True
+            if isinstance(data, StopIteration):
+                raise data
+            ex = ''.join(traceback.format_tb(data.__traceback__))
+            print("Generation Failed: %s %s" % (str(data), str(ex)), flush=True)
+            if self._raise_on_exception:
+                raise data
+            else:
+                return data
+
+        return data
+
+    def __lookahead(self):
+        try:
+            while True:
+                self._buffer.put(next(self._iterator))
+                if self._interrupt:
+                    raise StopIteration()
+        except BaseException as e:
+            self._buffer.put(e)
+
+
+class AsyncTimeoutIterator:
+    """
+    Async version of TimeoutIterator. See method documentation of TimeoutIterator
+    """
+    ZERO_TIMEOUT = 0.0
+
+    def __init__(self, iterator, timeout=0.0, sentinel=object(), reset_on_next=False):
+        self._iterator = iterator
+        self._timeout = timeout
+        self._sentinel = sentinel
+        self._reset_on_next = reset_on_next
+
+        self._interrupt = False
+        self._done = False
+        self._buffer = asyncio.Queue()
+        self._task = asyncio.get_event_loop().create_task(self.__lookahead())
+
+    def get_sentinel(self):
+        return self._sentinel
+
+    def set_reset_on_next(self, reset_on_next):
+        self._reset_on_next = reset_on_next
+
+    def set_timeout(self, timeout: float):
+        self._timeout = timeout
+
+    def interrupt(self):
+        self._interrupt = True
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        if self._done:
+            raise StopAsyncIteration
+
+        data = self._sentinel
+        try:
+            if self._timeout > self.ZERO_TIMEOUT:
+                data = await asyncio.wait_for(self._buffer.get(), self._timeout)
+            else:
+                data = await self._buffer.get()
+        except asyncio.TimeoutError:
+            pass
+        finally:
+            # see if timeout needs to be reset
+            if self._reset_on_next:
+                self._timeout = self.ZERO_TIMEOUT
+
+        # propagate any exceptions including StopIteration
+        if isinstance(data, BaseException):
+            self._done = True
+            raise data
+
+        return data
+
+    async def __lookahead(self):
+        try:
+            while True:
+                data = await self._iterator.__anext__()
+                await self._buffer.put(data)
+                if self._interrupt:
+                    raise StopAsyncIteration()
+        except BaseException as e:
+            await self._buffer.put(e)

requirements.txt

@@ -0,0 +1,153 @@
+# for generate (gradio server) and finetune
+datasets==2.13.0
+sentencepiece==0.1.99
+gradio==3.35.2
+huggingface_hub==0.15.1
+appdirs==1.4.4
+fire==0.5.0
+docutils==0.20.1
+torch==2.0.1
+evaluate==0.4.0
+rouge_score==0.1.2
+sacrebleu==2.3.1
+scikit-learn==1.2.2
+alt-profanity-check==1.2.2
+better-profanity==0.7.0
+numpy==1.24.3
+pandas==2.0.2
+matplotlib==3.7.1
+loralib==0.1.1
+bitsandbytes==0.39.0
+accelerate==0.20.3
+git+https://github.com/huggingface/peft.git@0b62b4378b4ce9367932c73540349da9a41bdea8
+transformers==4.30.2
+tokenizers==0.13.3
+APScheduler==3.10.1
+
+# optional for generate
+pynvml==11.5.0
+psutil==5.9.5
+boto3==1.26.101
+botocore==1.29.101
+
+# optional for finetune
+tensorboard==2.13.0
+neptune==1.2.0
+
+# for gradio client
+gradio_client==0.2.7
+beautifulsoup4==4.12.2
+markdown==3.4.3
+
+# data and testing
+pytest==7.2.2
+pytest-xdist==3.2.1
+nltk==3.8.1
+textstat==0.7.3
+# pandoc==2.3
+#pypandoc==1.11
+pypandoc_binary==1.11
+openpyxl==3.1.2
+lm_dataformat==0.0.20
+bioc==2.0
+
+# falcon
+einops==0.6.1
+instructorembedding==1.0.1
+
+# for gpt4all .env file, but avoid worrying about imports
+python-dotenv==1.0.0
+
+text-generation==0.6.0
+# for tokenization when don't have HF tokenizer
+tiktoken==0.4.0
+# optional: for OpenAI endpoint or embeddings (requires key)
+openai==0.27.8
+# optional for chat with PDF
+langchain==0.0.202
+pypdf==3.9.1
+# avoid textract, requires old six
+#textract==1.6.5
+
+# for HF embeddings
+sentence_transformers==2.2.2
+
+# local vector db
+chromadb==0.3.25
+# server vector db
+#pymilvus==2.2.8
+
+# weak url support, if can't install opencv etc. If comment-in this one, then comment-out unstructured[local-inference]==0.6.6
+# unstructured==0.6.6
+
+# strong support for images
+# Requires on Ubuntu: sudo apt-get install libmagic-dev poppler-utils tesseract-ocr libreoffice
+unstructured[local-inference]==0.7.4
+#pdf2image==1.16.3
+#pytesseract==0.3.10
+pillow
+
+pdfminer.six==20221105
+urllib3
+requests_file
+
+#pdf2image==1.16.3
+#pytesseract==0.3.10
+tabulate==0.9.0
+# FYI pandoc already part of requirements.txt
+
+# JSONLoader, but makes some trouble for some users
+# jq==1.4.1
+
+# to check licenses
+# Run: pip-licenses|grep -v 'BSD\|Apache\|MIT'
+pip-licenses==4.3.0
+
+# weaviate vector db
+weaviate-client==3.20.0
+# optional for chat with PDF
+langchain==0.0.202
+pypdf==3.9.1
+# avoid textract, requires old six
+#textract==1.6.5
+
+# for HF embeddings
+sentence_transformers==2.2.2
+
+# local vector db
+chromadb==0.3.25
+# server vector db
+#pymilvus==2.2.8
+
+# weak url support, if can't install opencv etc. If comment-in this one, then comment-out unstructured[local-inference]==0.6.6
+# unstructured==0.6.6
+
+# strong support for images
+# Requires on Ubuntu: sudo apt-get install libmagic-dev poppler-utils tesseract-ocr libreoffice
+unstructured[local-inference]==0.7.4
+#pdf2image==1.16.3
+#pytesseract==0.3.10
+pillow
+
+pdfminer.six==20221105
+urllib3
+requests_file
+
+#pdf2image==1.16.3
+#pytesseract==0.3.10
+tabulate==0.9.0
+# FYI pandoc already part of requirements.txt
+
+# JSONLoader, but makes some trouble for some users
+# jq==1.4.1
+
+# to check licenses
+# Run: pip-licenses|grep -v 'BSD\|Apache\|MIT'
+pip-licenses==4.3.0
+
+# weaviate vector db
+weaviate-client==3.20.0
+faiss-gpu==1.7.2
+arxiv==1.4.7
+pymupdf==1.22.3 # AGPL license
+# extract-msg==0.41.1  # GPL3