lgaleana commited on
Commit
45d6a3f
1 Parent(s): af799b3
Files changed (2) hide show
  1. components.py +28 -29
  2. requirements.txt +1 -2
components.py CHANGED
@@ -3,7 +3,6 @@ from concurrent.futures import ThreadPoolExecutor
3
  from typing import Dict, List, Union
4
 
5
  import gradio as gr
6
- import requests
7
 
8
  import ai
9
 
@@ -99,23 +98,21 @@ class CodeTask(TaskComponent):
99
  label="What would you like to do?",
100
  interactive=True,
101
  )
102
- with gr.Row():
103
- generate_code = gr.Button("Generate code")
104
- save_code = gr.Button("Save code")
105
  with gr.Row():
106
  with gr.Column():
107
- with gr.Accordion(label="Generated code") as accordion:
108
  raw_prompt_output = gr.Textbox(
109
  label="Raw output",
110
  lines=5,
111
  interactive=True,
112
  )
113
- packages = gr.Textbox(
114
  label="The following packages will be installed",
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  interactive=True,
116
  )
117
- function = gr.Textbox(
118
- label="Function to be executed",
119
  lines=10,
120
  interactive=True,
121
  )
@@ -123,7 +120,7 @@ class CodeTask(TaskComponent):
123
 
124
  self.input = gr.Textbox(
125
  interactive=True,
126
- placeholder="Input to the function",
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  show_label=False,
128
  )
129
  with gr.Column():
@@ -136,18 +133,31 @@ class CodeTask(TaskComponent):
136
  generate_code.click(
137
  self.generate_code,
138
  inputs=[code_prompt],
139
- outputs=[raw_prompt_output, packages, function, error_message],
140
- )
141
- save_code.click(
142
- lambda: gr.Accordion.update(open=False),
143
- inputs=[],
144
- outputs=[accordion],
145
  )
146
 
147
  return gr_component
148
 
149
  @staticmethod
150
  def generate_code(code_prompt: str):
 
 
 
 
 
 
 
 
 
 
 
 
 
151
  try:
152
  raw_prompt_output = ai.llm.next(
153
  [
@@ -189,25 +199,14 @@ class CodeTask(TaskComponent):
189
  )
190
  )
191
  except Exception as e:
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- return (
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- "",
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- "",
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- "",
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- gr.HighlightedText.update(
197
- value=[
198
- (
199
- f"The following variables are being used before being defined :: {str(e)}. Please check your tasks.",
200
- "ERROR",
201
- )
202
- ],
203
- visible=True,
204
- ),
205
  )
206
  return (
207
  raw_prompt_output,
208
  packages,
209
  function,
210
- gr.HighlightedText.update(value=None, visible=False),
211
  )
212
 
213
  def execute(self, url: str) -> str:
3
  from typing import Dict, List, Union
4
 
5
  import gradio as gr
 
6
 
7
  import ai
8
 
98
  label="What would you like to do?",
99
  interactive=True,
100
  )
101
+ generate_code = gr.Button("Generate code")
 
 
102
  with gr.Row():
103
  with gr.Column():
104
+ with gr.Accordion(label="Generated code", open=False):
105
  raw_prompt_output = gr.Textbox(
106
  label="Raw output",
107
  lines=5,
108
  interactive=True,
109
  )
110
+ self.packages = gr.Textbox(
111
  label="The following packages will be installed",
112
  interactive=True,
113
  )
114
+ self.function = gr.Textbox(
115
+ label="Code to be executed",
116
  lines=10,
117
  interactive=True,
118
  )
120
 
121
  self.input = gr.Textbox(
122
  interactive=True,
123
+ placeholder="Input to the code",
124
  show_label=False,
125
  )
126
  with gr.Column():
133
  generate_code.click(
134
  self.generate_code,
135
  inputs=[code_prompt],
136
+ outputs=[
137
+ raw_prompt_output,
138
+ self.packages,
139
+ self.function,
140
+ error_message,
141
+ ],
142
  )
143
 
144
  return gr_component
145
 
146
  @staticmethod
147
  def generate_code(code_prompt: str):
148
+ raw_prompt_output = ""
149
+ packages = ""
150
+ function = ""
151
+ error_message = gr.HighlightedText.update(None, visible=False)
152
+
153
+ if not code_prompt:
154
+ return (
155
+ raw_prompt_output,
156
+ packages,
157
+ function,
158
+ error_message,
159
+ )
160
+
161
  try:
162
  raw_prompt_output = ai.llm.next(
163
  [
199
  )
200
  )
201
  except Exception as e:
202
+ error_message = gr.HighlightedText.update(
203
+ value=[(str(e), "ERROR")], visible=True
 
 
 
 
 
 
 
 
 
 
 
204
  )
205
  return (
206
  raw_prompt_output,
207
  packages,
208
  function,
209
+ error_message,
210
  )
211
 
212
  def execute(self, url: str) -> str:
requirements.txt CHANGED
@@ -1,4 +1,3 @@
1
  gradio
2
  openai
3
- python-dotenv
4
- requests==2.28.1
1
  gradio
2
  openai
3
+ python-dotenv