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Update src/streamlit_app.py

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  1. src/streamlit_app.py +70 -40
src/streamlit_app.py CHANGED
@@ -1,40 +1,70 @@
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- import altair as alt
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- import numpy as np
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- import pandas as pd
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- import streamlit as st
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-
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- """
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- # Welcome to Streamlit!
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-
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- Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
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- If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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- forums](https://discuss.streamlit.io).
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-
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- In the meantime, below is an example of what you can do with just a few lines of code:
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- """
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-
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- num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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- num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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-
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- indices = np.linspace(0, 1, num_points)
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- theta = 2 * np.pi * num_turns * indices
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- radius = indices
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-
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- x = radius * np.cos(theta)
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- y = radius * np.sin(theta)
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-
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- df = pd.DataFrame({
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- "x": x,
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- "y": y,
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- "idx": indices,
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- "rand": np.random.randn(num_points),
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- })
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-
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- st.altair_chart(alt.Chart(df, height=700, width=700)
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- .mark_point(filled=True)
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- .encode(
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- x=alt.X("x", axis=None),
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- y=alt.Y("y", axis=None),
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- color=alt.Color("idx", legend=None, scale=alt.Scale()),
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- size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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- ))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import streamlit as st
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+ from pydantic import BaseModel, Field
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+ from typing import List, Literal, Dict, Optional
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+ from agency_swarn import Agent, Agency, set_openai_key, basetool
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+
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+
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+ class AnalyzeProjectRequirement(BaseTool):
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+ project_name: str= Field(...., description = " Name of Project")
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+ project_description: str= Field(...., description= "Project and Goals")
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+ project_type: Literal ["Web Application", "Mobile App", "API Developement", "Data Analytics", "AI/ML Solution", "Other"] = Field(....., description= "Type of project")
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+ budget_range: Literal["$10k-$25k", "$25k-$50k", "$100k+"] = Field(......, description= "Budget Range of the project")
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+
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+ class ToolConfig:
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+ name= "analyze_project"
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+ description= "Analyze project requirement and feasibility"
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+ one_call_at_a_time= True
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+
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+ def run(self) -> str:
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+ """Analyze project and store results in shared state"""
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+ if self._shared_state.get("project Analysis already exists, you can move forward to technical specification.")
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+
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+ analysis= {
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+ "name": self.project_name,
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+ "type": self.project_type,
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+ "complexity": "high",
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+ "timeline": "6 months",
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+ "budget_feasibility": "within range",
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+ "requirements": ["Scalable Architecture", "Security", "API Integration"]
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+ }
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+
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+ self._shared_state.set("project_analysis", analysis)
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+ return "Project Analysis completed. Please proceed to technical specifications"
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+
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+
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+
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+
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+ class CreateTechnicalSPecification(BaseTool):
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+ core_technologies: str = Field(.., description= "Comma-separated list of main technologies")
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+ architecture_type: Literal["monolithic", "microservice", "serverless", "hybrid"] = Field(...., description= "Proposed Architecture")
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+ scalability_requirement: Literal("high","medium", "low") = Field(...., description= "Scalability Needs")
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+
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+
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+
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+ class ToolConfig:
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+ name= "create_techinal_spec"
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+ description= "Creates technical specifications based on project analysis"
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+ one_call_at_a_time= True
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+
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+ def run(self) -> str:
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+ """Create technical specification based on the analysis"""
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+ if self._shared_state.get("project_analysis")
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+ if self._shared_state.get("project Analysis already exists, you can move forward to technical specification.")
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+
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+ spec= {
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+ "project_name": project_analysis["name"],
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+ "architecture": self.architecture_type,
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+ "technologies": self.core_technologies.split(","),
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+ "scalability": self.scalability_requirement
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+ }
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+
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+ self._shared_state.set("project_analysis", analysis)
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+ return "Project Analysis completed. Please proceed to technical specifications"
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+
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+
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+
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+ def init_session_state()-> None:
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+ """Initiate session state variable"""
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+ if "messages" is not st.session_state
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+
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+