Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,3 +1,5 @@
|
|
|
|
|
|
|
|
| 1 |
import os
|
| 2 |
import json
|
| 3 |
import smolagents
|
|
@@ -10,8 +12,8 @@ import difflib
|
|
| 10 |
import openai
|
| 11 |
from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
|
| 12 |
import gradio as gr
|
| 13 |
-
|
| 14 |
-
|
| 15 |
|
| 16 |
REPO_ID_TECHSPARK_STAFF = "aslan-ng/CMU_TechSpark_Staff"
|
| 17 |
REPO_ID_TECHSPARK_COURSES = "aslan-ng/CMU_TechSpark_Courses"
|
|
@@ -24,6 +26,8 @@ login(hf_token)
|
|
| 24 |
|
| 25 |
NUMERIC_PROFILE = ["Laser Cutting", "Wood Working", "Wood CNC", "Metal Machining", "Metal CNC", "3D Printer", "Welding", "Electronics"]
|
| 26 |
|
|
|
|
|
|
|
| 27 |
def load_data_from_huggingface():
|
| 28 |
"""
|
| 29 |
Loads data from HuggingFace.
|
|
@@ -52,6 +56,8 @@ def load_data_from_huggingface():
|
|
| 52 |
|
| 53 |
staff_df, courses_df, tools_df, nodes_df, edges_df = load_data_from_huggingface()
|
| 54 |
|
|
|
|
|
|
|
| 55 |
def vector_1st_distance(x: list, y: list):
|
| 56 |
"""
|
| 57 |
Calculate the average 1st distance between two vectors.
|
|
@@ -102,6 +108,8 @@ def skill_score(
|
|
| 102 |
y.append(electronics)
|
| 103 |
return vector_1st_distance(x, y)
|
| 104 |
|
|
|
|
|
|
|
| 105 |
def all_staff():
|
| 106 |
"""
|
| 107 |
Return a list of all staff.
|
|
@@ -246,6 +254,8 @@ class FindSuitableStaff(smolagents.tools.Tool):
|
|
| 246 |
staff_profiles = [get_staff_profile(name) for name in names]
|
| 247 |
return json.dumps(staff_profiles)
|
| 248 |
|
|
|
|
|
|
|
| 249 |
def all_courses_code():
|
| 250 |
"""
|
| 251 |
Return a list of all course codes.
|
|
@@ -406,6 +416,8 @@ class FindSuitableCourses(smolagents.tools.Tool):
|
|
| 406 |
options = [get_course_profile(course) for course in matches]
|
| 407 |
return json.dumps(options)
|
| 408 |
|
|
|
|
|
|
|
| 409 |
def all_tools():
|
| 410 |
"""
|
| 411 |
Return a list of all tools and machines.
|
|
@@ -488,6 +500,8 @@ class CheckMachineAccessibility(smolagents.tools.Tool):
|
|
| 488 |
def forward(self, name: str) -> str:
|
| 489 |
return json.dumps(is_tool_accessible(name))
|
| 490 |
|
|
|
|
|
|
|
| 491 |
class WikipediaSearch(smolagents.Tool):
|
| 492 |
"""
|
| 493 |
Create tool for searching Wikipedia
|
|
@@ -506,6 +520,8 @@ class WikipediaSearch(smolagents.Tool):
|
|
| 506 |
answer = wikipedia_api.run(query)
|
| 507 |
return answer
|
| 508 |
|
|
|
|
|
|
|
| 509 |
def all_nodes():
|
| 510 |
"""
|
| 511 |
Return a list of all nodes name.
|
|
@@ -553,36 +569,6 @@ def load_graph(nodes_df, edges_df):
|
|
| 553 |
|
| 554 |
G = load_graph(nodes_df, edges_df)
|
| 555 |
|
| 556 |
-
def show_graph():
|
| 557 |
-
import matplotlib.pyplot as plt
|
| 558 |
-
|
| 559 |
-
pos = {
|
| 560 |
-
row["ID"]: (row["X"], row["Y"])
|
| 561 |
-
for _, row in nodes_df.iterrows()
|
| 562 |
-
}
|
| 563 |
-
|
| 564 |
-
labels = {
|
| 565 |
-
row["ID"]: row["Name"]
|
| 566 |
-
for _, row in nodes_df.iterrows()
|
| 567 |
-
}
|
| 568 |
-
|
| 569 |
-
plt.figure(figsize=(8, 6))
|
| 570 |
-
|
| 571 |
-
nx.draw(
|
| 572 |
-
G,
|
| 573 |
-
pos=pos,
|
| 574 |
-
#labels=labels, # ID or Name?
|
| 575 |
-
with_labels=True,
|
| 576 |
-
node_size=800,
|
| 577 |
-
node_color="lightblue",
|
| 578 |
-
font_size=10,
|
| 579 |
-
font_weight="bold",
|
| 580 |
-
edge_color="gray"
|
| 581 |
-
)
|
| 582 |
-
|
| 583 |
-
plt.axis("equal")
|
| 584 |
-
plt.show()
|
| 585 |
-
|
| 586 |
def path_finder(destination: int, source: int):
|
| 587 |
try:
|
| 588 |
path = nx.shortest_path(G, source=source, target=destination)
|
|
@@ -694,6 +680,8 @@ class PathFinding(smolagents.tools.Tool):
|
|
| 694 |
def forward(self, destination: str) -> str:
|
| 695 |
return path_human(destination, source=None)
|
| 696 |
|
|
|
|
|
|
|
| 697 |
techspark_definition = """
|
| 698 |
TechSpark is the largest makerspace at CMU (Carnegie Mellon University), located in the College of Engineering. 
|
| 699 |
Its mission is to promote a vibrant, student-centric making culture to enhance educational, extracurricular, and research activities across the entire campus community.
|
|
@@ -740,13 +728,15 @@ agent = smolagents.CodeAgent(
|
|
| 740 |
verbosity_level=2, # show steps in logs for class demo
|
| 741 |
)
|
| 742 |
|
|
|
|
|
|
|
| 743 |
with gr.Blocks() as demo:
|
| 744 |
|
| 745 |
# Centered title and description using HTML
|
| 746 |
gr.HTML("""
|
| 747 |
<div style="text-align: center; font-family: 'Arial', sans-serif;">
|
| 748 |
<h1 style="color:#1f77b4; margin-bottom: 20px; font-weight: 300;">
|
| 749 |
-
|
| 750 |
</h1>
|
| 751 |
|
| 752 |
<p style="margin-top: 0; font-weight: 300; font-size: 16px; color:#555;">
|
|
|
|
| 1 |
+
# Imports
|
| 2 |
+
|
| 3 |
import os
|
| 4 |
import json
|
| 5 |
import smolagents
|
|
|
|
| 12 |
import openai
|
| 13 |
from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
|
| 14 |
import gradio as gr
|
| 15 |
+
|
| 16 |
+
# Settings
|
| 17 |
|
| 18 |
REPO_ID_TECHSPARK_STAFF = "aslan-ng/CMU_TechSpark_Staff"
|
| 19 |
REPO_ID_TECHSPARK_COURSES = "aslan-ng/CMU_TechSpark_Courses"
|
|
|
|
| 26 |
|
| 27 |
NUMERIC_PROFILE = ["Laser Cutting", "Wood Working", "Wood CNC", "Metal Machining", "Metal CNC", "3D Printer", "Welding", "Electronics"]
|
| 28 |
|
| 29 |
+
# Load Data
|
| 30 |
+
|
| 31 |
def load_data_from_huggingface():
|
| 32 |
"""
|
| 33 |
Loads data from HuggingFace.
|
|
|
|
| 56 |
|
| 57 |
staff_df, courses_df, tools_df, nodes_df, edges_df = load_data_from_huggingface()
|
| 58 |
|
| 59 |
+
# General Functions
|
| 60 |
+
|
| 61 |
def vector_1st_distance(x: list, y: list):
|
| 62 |
"""
|
| 63 |
Calculate the average 1st distance between two vectors.
|
|
|
|
| 108 |
y.append(electronics)
|
| 109 |
return vector_1st_distance(x, y)
|
| 110 |
|
| 111 |
+
# Staff Functions
|
| 112 |
+
|
| 113 |
def all_staff():
|
| 114 |
"""
|
| 115 |
Return a list of all staff.
|
|
|
|
| 254 |
staff_profiles = [get_staff_profile(name) for name in names]
|
| 255 |
return json.dumps(staff_profiles)
|
| 256 |
|
| 257 |
+
# Course Functions
|
| 258 |
+
|
| 259 |
def all_courses_code():
|
| 260 |
"""
|
| 261 |
Return a list of all course codes.
|
|
|
|
| 416 |
options = [get_course_profile(course) for course in matches]
|
| 417 |
return json.dumps(options)
|
| 418 |
|
| 419 |
+
# Machines and Tools Functions
|
| 420 |
+
|
| 421 |
def all_tools():
|
| 422 |
"""
|
| 423 |
Return a list of all tools and machines.
|
|
|
|
| 500 |
def forward(self, name: str) -> str:
|
| 501 |
return json.dumps(is_tool_accessible(name))
|
| 502 |
|
| 503 |
+
# Wikipedia Functions
|
| 504 |
+
|
| 505 |
class WikipediaSearch(smolagents.Tool):
|
| 506 |
"""
|
| 507 |
Create tool for searching Wikipedia
|
|
|
|
| 520 |
answer = wikipedia_api.run(query)
|
| 521 |
return answer
|
| 522 |
|
| 523 |
+
# Map Functions
|
| 524 |
+
|
| 525 |
def all_nodes():
|
| 526 |
"""
|
| 527 |
Return a list of all nodes name.
|
|
|
|
| 569 |
|
| 570 |
G = load_graph(nodes_df, edges_df)
|
| 571 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 572 |
def path_finder(destination: int, source: int):
|
| 573 |
try:
|
| 574 |
path = nx.shortest_path(G, source=source, target=destination)
|
|
|
|
| 680 |
def forward(self, destination: str) -> str:
|
| 681 |
return path_human(destination, source=None)
|
| 682 |
|
| 683 |
+
# Agent
|
| 684 |
+
|
| 685 |
techspark_definition = """
|
| 686 |
TechSpark is the largest makerspace at CMU (Carnegie Mellon University), located in the College of Engineering. 
|
| 687 |
Its mission is to promote a vibrant, student-centric making culture to enhance educational, extracurricular, and research activities across the entire campus community.
|
|
|
|
| 728 |
verbosity_level=2, # show steps in logs for class demo
|
| 729 |
)
|
| 730 |
|
| 731 |
+
# UI
|
| 732 |
+
|
| 733 |
with gr.Blocks() as demo:
|
| 734 |
|
| 735 |
# Centered title and description using HTML
|
| 736 |
gr.HTML("""
|
| 737 |
<div style="text-align: center; font-family: 'Arial', sans-serif;">
|
| 738 |
<h1 style="color:#1f77b4; margin-bottom: 20px; font-weight: 300;">
|
| 739 |
+
🔧 TechSpark AI Assistant 🤖
|
| 740 |
</h1>
|
| 741 |
|
| 742 |
<p style="margin-top: 0; font-weight: 300; font-size: 16px; color:#555;">
|