Upload 3 files

test_faq.json

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+[
+  {
+    "check in":"today I will test responses in the cic chatbot with different models I made a script to if the score given by the model is greater then 80% put those questions and answers into an excel and after further review I put the correct answers into a json to use as a training dataset for my model",
+    "rating":"good"
+  },
+  {
+    "check in":"Today I will finish the sample data and begin building a webapp to host my nba player prop checker and insight sorter.",
+    "rating":"bad"
+  },
+  {
+    "check in":"today I will be either be working with my group or working on getting accurate responses for the 2k project chatbot by changing prompts to pass to the model switching models and playing with variables like temperature",
+    "rating":"mid"
+  },
+  {
+    "check in":"Today I aim to get the output of each amazon transcribe job turned into a variable which would be the question asked in the case of my speech to text chatbot. If not possible I will try tensorflow, vosk, ibm, and azure. I aim to have the speech to text back working by the end of the week.",
+    "rating":"good"
+  },
+  {
+    "check in":"Today I will try out different models for the CIC meetings cb llama 3.2 works good it gave some interesting responses as it used some common sense and not just context when generating the answer. I will then work to get the vectors into a pinecone vector database and then call that in code.",
+    "rating":"good"
+  }
+]

train_faq.json

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+[
+  {
+    "check in":"today I will be focusing mainly on school work today but I will continue working on creating a dataset with likely 100 or so collumns to use to train a hugface model still experimenting with models to see which pretrained I want to use",
+    "rating":"good"
+  },
+  {
+    "check in":"today I will be integrating my ollama rag chat bot into my flask webapp and playing with some variables from python to html to see what exactly I can display",
+    "rating":"bad"
+  },
+  {
+    "check in":"Today I will be implementing request and re to generate rag responses into the cic meetings chatbot to see if that can pull responses correctly and I will begin making a dataset for training a model to use my slang",
+    "rating":"mid"
+  },
+  {
+    "check in":"Today I will be preparing for my CLT which is tomorrow I will also be adding instructions to my chatbot as yesterday I had to fix the function to generate context since it caused the model I was using to hallucinate",
+    "rating":"good"
+  },
+  {
+    "check in":"today I will be focusing mainly on school work ,finishing up my sample data for community chatbot and learning some html for my webapp.",
+    "rating":"mid"
+  },
+  {
+    "check in":"Today I aim on getting the st. type error i get when attempting to run the ibm speech to text api this is a roadblock that i should have resolved by saturday.",
+    "rating":"mid"
+  },
+  {
+    "check in":"today I will start making the beta of my NBA chatbot through Streamlit I plan to make a webapp for it later on, will create the directory and venv and a requirements.txt file bear minimum.",
+    "rating":"mid"
+  },
+  {
+    "check in":"today I will work on adding a chat history tab for each sessions state that way I can track all the answers I get into from each question in excel file I then aim to deploy the CIC meetings chatbot.",
+    "rating":"mid"
+  },
+  {
+    "check in":"today I plan to make a data on my family to use for the community chatbot I will also research vector databases, making the chatbot a callable api and how to make a web app for my own personal project.",
+    "rating":"good"
+  },
+  {
+    "check in":"today I will be mainly focusing on schoolwork and making rows of data for my dataset towards finetuning meta llama 3.2 3b instruct",
+    "rating":"bad"
+  },
+  {
+    "check in":"Today I'll continue testing text gen models for accuracy and playing around with the prompt passed to it. I aim to have found a model I like and can deploy the 2k project cb with by next week",
+    "rating":"mid"
+  },
+  {
+    "check in":"Today I will be creating env variables for my code and adding proper comments to the community chatbot then I will connect it to a github repo to deploy it into streamlit.",
+    "rating":"bad"
+  },
+  {
+    "check in":"today I will be continuing work on the 2k streamlit chatbot I don't love the response speed and answer format so I will research how to increase the speed and play around with different models then I will deploy it.",
+    "rating":"bad"
+  },
+  {
+    "check in":"Today I will be working on changing my python version to get all my dependencies downloaded as that is my only issue afterwards I'll revise the code and delete all the comments making it more readable.",
+    "rating":"good"
+  },
+  {
+    "check in":"Today I'll be testing accuracy of my speech to text chatbot and troubleshooting accordingly. I will also begin building a webapp through flask to host my NBA player prop data insight generator.",
+    "rating":"good"
+  },
+  {
+    "check in":"today I will clean up my code and work on my personal project which is an nba parlay chatbot.",
+    "rating":"bad"
+  },
+  {
+    "check in":"today I will be continuing with implementing whisper to the speech to text back functioning as well as mapping out the different steps and things I'll need to complete my personal project (idea).",
+    "rating":"bad"
+  },
+  {
+    "check in":"Today I worked on making the logic for CIC meeting chatbot I implemented some data into the context in the backend and it gave me the correct answer I am now trying to get the embeddings into pinecone and from there to my code as the database to compare questions to.",
+    "rating":"good"
+  }
+]

val_faq.json

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+[
+  {
+    "check in":"today I will begin making data for my model and I aim to begin training it from a pre-trained transformers question answer model",
+    "rating":"bad"
+  },
+  {
+    "check in":"today I will work on implementing my chatbot into my webapp as of right now a very simple hello user message pops up I would like to prompt it to ask a user a question and get user answers and generate a response",
+    "rating":"mid"
+  }
+]