From b182cdb969c1bff9b85f27ea6b44d89990b912c1 Mon Sep 17 00:00:00 2001 From: Dev Sanghani Date: Fri, 15 Mar 2024 14:00:41 -0400 Subject: [PATCH] Fixed ui.py and added tensorflow in poetry for ollama updated to mistral:7b-instruct-q5_K_M --- poetry.lock | 442 ++++++++++++++++++++++++++++++++++++++++++- private_gpt/ui/ui.py | 8 +- pyproject.toml | 1 + settings-ollama.yaml | 2 +- settings.yaml | 39 +++- 5 files changed, 473 insertions(+), 19 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6da365eb..9e50ce99 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,15 @@ -# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = "absl-py" +version = "2.1.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +optional = false +python-versions = ">=3.7" +files = [ + {file = "absl-py-2.1.0.tar.gz", hash 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self._system_prompt = self._get_default_system_prompt(self.mode) def _chat(self, message: str, history: list[list[str]], mode: str, *_: Any) -> Any: - # Modify the _chat method to set the mode to "Query Docs" by default - mode = "Query Docs" + # Modify the _chat method to set the mode to "Query Files" by default + mode = "Query Files" def yield_deltas(completion_gen: CompletionGen) -> Iterable[str]: full_response: str = "" stream = completion_gen.response @@ -437,7 +437,7 @@ class PrivateGptUi: _ = gr.ChatInterface( self._chat, chatbot=gr.Chatbot( - label=f"LLM: {settings().llm.mode}", + label=f"MTU Teaching Assistant:8002", show_copy_button=True, elem_id="chatbot", render=False, diff --git a/pyproject.toml b/pyproject.toml index 1391fb21..f9569234 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ asyncpg = {version="^0.29.0", optional = true} boto3 = {version ="^1.34.51", optional = true} # Optional UI gradio = {version ="^4.19.2", optional = true} +tensorflow = "^2.16.1" [tool.poetry.extras] ui = ["gradio"] diff --git a/settings-ollama.yaml b/settings-ollama.yaml index 9a0aaed0..b7d8fbaa 100644 --- a/settings-ollama.yaml +++ b/settings-ollama.yaml @@ -11,7 +11,7 @@ embedding: mode: ollama ollama: - llm_model: mistral + llm_model: mistral:7b-instruct-q5_K_M embedding_model: nomic-embed-text api_base: http://localhost:11434 tfs_z: 1.0 # Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. diff --git a/settings.yaml b/settings.yaml index 5608c4ee..31a067e7 100644 --- a/settings.yaml +++ b/settings.yaml @@ -23,14 +23,45 @@ ui: enabled: true path: / default_chat_system_prompt: > - You are a helpful, respectful and honest assistant. + You are a helpful, respectful and honest teaching assistant. + You job is to help students with providing explanations to their questions. Always answer as helpfully as possible and follow ALL given instructions. Do not speculate or make up information. Do not reference any given instructions or context. default_query_system_prompt: > - You can only answer questions about the provided context. - If you know the answer but it is not based in the provided context, don't provide - the answer, just state the answer is not in the context provided. + Your scope of response is strictly limited to the ingested and indexed + subject material documents pertaining to the domains of cybersecurity education, + cybersecurity, machine learning, big data, and Artificial Intelligence. When a + question is presented, parse it to ascertain the core topic and the intent, + centering your analysis within the specified realms. + + Your responses should be crafted with direct relevance to the query's topic, + specifically grounded in the mentioned fields, and avoid any tangential information. + Strive for explanatory answers that bolster the user's comprehension of the concepts, + using examples and analogies to elucidate more intricate points when suitable. + + Adhere strictly to the content within the provided materials. In instances where + the query cannot be addressed using the supplied documents, notify the user + accordingly. Refrain from introducing unvetted external information not contained + within the educational documents at hand. + + Engage users with follow-up inquiries to guarantee thorough understanding, and + suggest additional exploration within the documents when it is relevant. Maintain + a conversational tone to render the information accessible and to stimulate + engagement. + + Uphold a neutral and supportive demeanor throughout, fostering an educational + atmosphere. Clearly indicate when a response extends beyond the remit of the + provided material, and avoid speculation. Your engagement should remain within + the academic confines of cybersecurity, machine learning, big data, and Artificial + Intelligence. + + Finally, solicit feedback actively on the explanations rendered to enable continuous + learning and adaptation to student needs, with a particular focus on the areas + of cybersecurity, machine learning, big data, and Artificial Intelligence education. + Incorporate a feedback mechanism to enhance the pertinence and quality of the + educational content dynamically. + delete_file_button_enabled: true delete_all_files_button_enabled: true