Merge pull request #15 from dabumana/v.0.1.2

V.0.1.2

README.md

@@ -47,18 +47,26 @@ Installation steps:
  #### Edit>
  - Contextual input
 
+ ![console.gif](docs%2Fmedia%2Fedit.gif)
+
  #### Embedded>
  - Nested input to analize embeddings
 
+ ![console.gif](docs%2Fmedia%2Fembedded.gif)
+
  #### Predict>
  - Nested input to analize text (Powered by GPTZero)
 
+ ![console.gif](docs%2Fmedia%2Fzero.gif)
+
 - Multiple results and probabilities
 
 - Detailed log according to UTC
 
 ### How to use?
 
+![console.gif](docs%2Fmedia%2Fgeneral.gif)
+
 The OpenAI API provides access to a range of AI-powered services, including natural language processing (NLP), computer vision, and reinforcement learning.
 
 - OpenAI API is a set of tools and services that allow developers to create applications that use artificial intelligence (AI) technology.
@@ -68,10 +76,10 @@ The OpenAI API provides access to a range of AI-powered services, including natu
 The terminal app have a conversational assistant that is designed to work with OpenAI services, able to understand natural language queries and provide accurate results,
 also includes advanced modes that allow users to modify the contextual information for specific uses for example, users can adjust the engine, results, probabilities according to the amount of words used in the query, this allows for more accurate results when using longer queries.
 
-![console.gif](docs%2Fmedia%2Fconsole.gif)
-
 #### General parameters:
 
+![details.png](docs%2Fmedia%2Fdetails.png)
+
 - **Mode**: Modify the actual mode, select between **(TEXT/EDIT/CODE)**
 - **Engine**: Modify the model that you want to test
 - **Results**: Modify the amount of results displayed for each prompt
@@ -88,8 +96,6 @@ also includes advanced modes that allow users to modify the contextual informati
  - Press `New Conversation` and select `Edit mode` the first request will be for a completion endpoint the second based on the first request will continue editing the content in the parameters that you ask.
 - **Conversational Mode**: Use conversational AI mode request for a friendly interaction.
 
-![details.png](docs%2Fmedia%2Fdetails.png)
-
 ### Disclaimer :warning:
 
 This software is provided "as is" and any expressed or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the author or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential.

model/pool.go

@@ -0,0 +1,10 @@
+// Package model section
+package model
+
+// PoolProperties - Session pool management
+type PoolProperties struct {
+ Event []HistoricalEvent `json:"events"`
+ Session []HistoricalSession `json:"sessions"`
+ TrainingEvent []HistoricalTrainingEvent `json:"training_events"`
+ TrainingSession []HistoricalTrainingSession `json:"training_sessions"`
+}

service/agent.go

@@ -9,6 +9,7 @@ import (
 
  "caos/model"
  "caos/service/parameters"
+ "caos/util"
 
  "github.com/PullRequestInc/go-gpt3"
  "github.com/joho/godotenv"
@@ -32,15 +33,15 @@ func (c Agent) Initialize() Agent {
  c.client, c.exClient = c.Connect()
  // Global preferences
  c.preferences.Engine = "text-davinci-003"
- c.preferences.Frequency = 0.5
- c.preferences.Penalty = 0.5
- c.preferences.MaxTokens = 250
+ c.preferences.Frequency = util.ParseFloat32("\u0030\u002e\u0035")
+ c.preferences.Penalty = util.ParseFloat32("\u0030\u002e\u0035")
+ c.preferences.MaxTokens = util.ParseInt64("\u0032\u0035\u0030")
  c.preferences.Mode = "Text"
  c.preferences.Models = append(c.preferences.Models, "zero-gpt")
- c.preferences.Probabilities = 1
- c.preferences.Results = 1
- c.preferences.Temperature = 0.4
- c.preferences.Topp = 0.6
+ c.preferences.Probabilities = util.ParseInt32("\u0031")
+ c.preferences.Results = util.ParseInt32("\u0031")
+ c.preferences.Temperature = util.ParseFloat32("\u0030\u002e\u0034")
+ c.preferences.Topp = util.ParseFloat32("\u0030\u002e\u0036")
  // Mode selection
  c.preferences.IsConversational = false
  c.preferences.IsEditable = false

service/layout.go

@@ -80,6 +80,10 @@ func OnBack() {
  node.layout.pages.HidePage("modal")
  // Validate layout forms
  ValidateRefinementForm()
+ // Clean input
+ if node.controller.currentAgent.preferences.Mode == "Edit" {
+ node.layout.promptInput.SetLabel("Enter your context first: ")
+ }
 }
 
 // OnNewTopic - Define a new conversation button event
@@ -133,7 +137,9 @@ func OnExportTopic() {
 
 // OnExportTrainedTopic - Export current conversation as a trained model as a .json file
 func OnExportTrainedTopic() {
- node.layout.eventManager.SaveTraining()
+ if node.controller.currentAgent.preferences.IsTraining {
+ node.layout.eventManager.SaveTraining()
+ }
 }
 
 // OnChangeEngine - Dropdown from input to change engine
@@ -183,21 +189,21 @@ func OnChangeEngine(option string, optionIndex int) {
 // OnChangeWords - Dropdown for tokens according to the amount of words
 func OnChangeWords(option string, optionIndex int) {
  switch option {
- case "1":
+ case "\u0031":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0031")
- case "50":
+ case "\u0035\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0033\u0031")
- case "85":
+ case "\u0038\u0035":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0036\u0034")
- case "100":
+ case "\u0031\u0030\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0037\u0035")
- case "200":
+ case "\u0032\u0030\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0031\u0035\u0030")
- case "500":
+ case "\u0035\u0030\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0033\u0037\u0035")
- case "1000":
+ case "\u0031\u0030\u0030\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0037\u0035\u0030")
- case "1500":
+ case "\u0031\u0035\u0030\u0030":
  node.controller.currentAgent.preferences.MaxTokens = util.ParseInt64("\u0031\u0031\u0032\u0035")
  }
 }

service/log.go

@@ -8,7 +8,6 @@ import (
  "time"
 
  "caos/model"
- "caos/service/parameters"
  "caos/util"
 
  "github.com/PullRequestInc/go-gpt3"
@@ -19,31 +18,31 @@ import (
 type EventManager struct {
  event model.HistoricalEvent
  session model.HistoricalSession
- handler parameters.PoolManager
+ pool model.PoolProperties
 }
 
 // SaveTraining - Export training in JSON format
 func (c EventManager) SaveTraining() {
- raw, _ := json.MarshalIndent(c.handler.TrainingSessionPool, "", "\u0009")
+ raw, _ := json.MarshalIndent(c.pool.TrainingSession, "", "\u0009")
  out := util.ConstructPathFileTo("training", "json")
  out.WriteString(string(raw))
 }
 
 // SaveLog - Save log with actual historic detail
 func (c EventManager) SaveLog() {
- if c.handler.SessionPool != nil {
- raw, _ := json.MarshalIndent(c.handler.SessionPool[len(c.handler.SessionPool)-1], "", "\u0009")
+ if c.pool.Session != nil {
+ raw, _ := json.MarshalIndent(c.pool.Session[len(c.pool.Session)-1], "", "\u0009")
  out := util.ConstructPathFileTo("log", "json")
  out.WriteString(string(raw))
  }
 }
 
 // ClearSession - Clear all the pools
 func (c EventManager) ClearSession() {
- c.handler.EventPool = nil
- c.handler.SessionPool = nil
- c.handler.TrainingEventPool = nil
- c.handler.TrainingSessionPool = nil
+ c.pool.Event = nil
+ c.pool.Session = nil
+ c.pool.TrainingEvent = nil
+ c.pool.TrainingSession = nil
 }
 
 // AppendToSession - Add a set of events as a session
@@ -72,10 +71,10 @@ func (c EventManager) AppendToSession(header *model.EngineProperties, body *mode
 
  c.event.Timestamp = fmt.Sprint(time.Now().UnixMilli())
 
- c.handler.EventPool = append(c.handler.EventPool, c.event)
+ c.pool.Event = append(c.pool.Event, c.event)
 
  c.session.ID = id
- c.session.Session = c.handler.EventPool
+ c.session.Session = c.pool.Event
 
  if node.controller.currentAgent.preferences.IsTraining {
 
@@ -84,17 +83,17 @@ func (c EventManager) AppendToSession(header *model.EngineProperties, body *mode
  Event: train,
  }
 
- c.handler.TrainingEventPool = append(c.handler.TrainingEventPool, event)
+ c.pool.TrainingEvent = append(c.pool.TrainingEvent, event)
 
  session := model.HistoricalTrainingSession{
  ID: c.session.ID,
  Session: []model.HistoricalTrainingEvent{event},
  }
 
- c.handler.TrainingSessionPool = append(c.handler.TrainingSessionPool, session)
+ c.pool.TrainingSession = append(c.pool.TrainingSession, session)
  }
 
- c.handler.SessionPool = append(c.handler.SessionPool, c.session)
+ c.pool.Session = append(c.pool.Session, c.session)
 
  c.SaveLog()
 }