Rahatara commited on
Commit
b3355ef
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1 Parent(s): 275eb97

Update app.py

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Files changed (1) hide show
  1. app.py +31 -52
app.py CHANGED
@@ -5,10 +5,13 @@ import google.generativeai as genai
5
  import gradio as gr
6
  from PIL import Image
7
 
 
8
  GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
9
 
 
10
  IMAGE_WIDTH = 512
11
 
 
12
  def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
13
  return [seq.strip() for seq in stop_sequences.split(",")] if stop_sequences else None
14
 
@@ -16,85 +19,61 @@ def preprocess_image(image: Image.Image) -> Image.Image:
16
  image_height = int(image.height * IMAGE_WIDTH / image.width)
17
  return image.resize((IMAGE_WIDTH, image_height))
18
 
19
- def user(text_prompt: str, chatbot: List[Tuple[str, str]]):
20
- return "", chatbot + [[text_prompt, None]]
21
-
22
  def bot(
23
  google_key: str,
24
  image_prompt: Optional[Image.Image],
25
- temperature: float,
26
- max_output_tokens: int,
27
- stop_sequences: str,
28
- top_k: int,
29
- top_p: float,
30
  chatbot: List[Tuple[str, str]]
31
  ):
32
  google_key = google_key or GOOGLE_API_KEY
33
  if not google_key:
34
  raise ValueError("GOOGLE_API_KEY is not set. Please set it up.")
 
 
 
35
 
36
- text_prompt = chatbot[-1][0]
37
  genai.configure(api_key=google_key)
38
  generation_config = genai.types.GenerationConfig(
39
- temperature=temperature,
40
- max_output_tokens=max_output_tokens,
41
- stop_sequences=preprocess_stop_sequences(stop_sequences),
42
- top_k=top_k,
43
- top_p=top_p,
44
- system_instructions = "You are an advocate against gender-based discrimination "
45
  )
46
 
47
  model_name = "gemini-1.5-pro-latest"
48
  model = genai.GenerativeModel(model_name)
49
- inputs = [text_prompt] if image_prompt is None else [text_prompt, preprocess_image(image_prompt)]
50
 
51
  response = model.generate_content(inputs, stream=True, generation_config=generation_config)
52
  response.resolve()
53
 
54
  chatbot[-1][1] = ""
55
  for chunk in response:
56
- for i in range(0, len(chunk.text), 10):
57
- chatbot[-1][1] += chunk.text[i:i + 10]
58
- time.sleep(0.01)
59
- yield chatbot
60
-
61
- google_key_component = gr.Textbox(
62
- label="GOOGLE API KEY",
63
- type="password",
64
- placeholder="...",
65
- visible=GOOGLE_API_KEY is None
66
- )
67
 
68
- image_prompt_component = gr.Image(type="pil", label="Image")
 
 
69
  chatbot_component = gr.Chatbot(label='Gemini', bubble_full_width=False)
70
- #text_prompt_component = "Analyze this for any instances of gender-based discrimination. Consider both explicit and implicit biases, stereotypes, and unequal treatment. Provide specific examples from the text to support your analysis"
71
- text_prompt_component = gr.Textbox(placeholder="Hi there!", label="Ask me anything and press Enter")
72
- run_button_component = gr.Button("Check Discrimantion")
73
- temperature_component = gr.Slider(minimum=0, maximum=1.0, value=0.4, step=0.05, label="Temperature")
74
- max_output_tokens_component = gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Token limit")
75
- stop_sequences_component = gr.Textbox(label="Add stop sequence", placeholder="STOP, END")
76
- top_k_component = gr.Slider(minimum=1, maximum=40, value=32, step=1, label="Top-K")
77
- top_p_component = gr.Slider(minimum=0, maximum=1, value=1, step=0.01, label="Top-P")
78
-
79
- user_inputs = [text_prompt_component, chatbot_component]
80
- bot_inputs = [google_key_component, image_prompt_component, temperature_component, max_output_tokens_component, stop_sequences_component, top_k_component, top_p_component, chatbot_component]
81
 
 
82
  with gr.Blocks() as demo:
83
  with gr.Column():
84
  google_key_component.render()
85
- with gr.Row():
86
- image_prompt_component.render()
87
- chatbot_component.render()
88
- text_prompt_component.render()
89
  run_button_component.render()
90
- with gr.Accordion("Parameters", open=False):
91
- temperature_component.render()
92
- max_output_tokens_component.render()
93
- stop_sequences_component.render()
94
- with gr.Accordion("Advanced", open=False):
95
- top_k_component.render()
96
- top_p_component.render()
 
97
 
98
- run_button_component.click(fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False).then(fn=bot, inputs=bot_inputs, outputs=[chatbot_component])
99
- text_prompt_component.submit(fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False).then(fn=bot, inputs=bot_inputs, outputs=[chatbot_component])
100
  demo.launch()
 
5
  import gradio as gr
6
  from PIL import Image
7
 
8
+ # Environment variable for Google API Key
9
  GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
10
 
11
+ # Constants for image processing
12
  IMAGE_WIDTH = 512
13
 
14
+ # Helper functions
15
  def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
16
  return [seq.strip() for seq in stop_sequences.split(",")] if stop_sequences else None
17
 
 
19
  image_height = int(image.height * IMAGE_WIDTH / image.width)
20
  return image.resize((IMAGE_WIDTH, image_height))
21
 
22
+ # Function to trigger model invocation
 
 
23
  def bot(
24
  google_key: str,
25
  image_prompt: Optional[Image.Image],
 
 
 
 
 
26
  chatbot: List[Tuple[str, str]]
27
  ):
28
  google_key = google_key or GOOGLE_API_KEY
29
  if not google_key:
30
  raise ValueError("GOOGLE_API_KEY is not set. Please set it up.")
31
+
32
+ # Fixed text prompt for analyzing gender-based discrimination
33
+ text_prompt = "Analyze this for any instances of gender-based discrimination. Consider both explicit and implicit biases, stereotypes, and unequal treatment. Provide specific examples from the text to support your analysis."
34
 
 
35
  genai.configure(api_key=google_key)
36
  generation_config = genai.types.GenerationConfig(
37
+ temperature=0.4,
38
+ max_output_tokens=1024,
39
+ stop_sequences=preprocess_stop_sequences("STOP, END"),
40
+ top_k=32,
41
+ top_p=1.0,
 
42
  )
43
 
44
  model_name = "gemini-1.5-pro-latest"
45
  model = genai.GenerativeModel(model_name)
46
+ inputs = [text_prompt, preprocess_image(image_prompt)] if image_prompt else [text_prompt]
47
 
48
  response = model.generate_content(inputs, stream=True, generation_config=generation_config)
49
  response.resolve()
50
 
51
  chatbot[-1][1] = ""
52
  for chunk in response:
53
+ chatbot[-1][1] += chunk.text
54
+ time.sleep(0.01)
55
+ return chatbot
 
 
 
 
 
 
 
 
56
 
57
+ # Gradio Interface Components
58
+ google_key_component = gr.Textbox(label="GOOGLE API KEY", type="password", placeholder="...", visible=GOOGLE_API_KEY is None)
59
+ image_prompt_component = gr.Image(type="pil", label="Image", optional=True)
60
  chatbot_component = gr.Chatbot(label='Gemini', bubble_full_width=False)
61
+ run_button_component = gr.Button("Check Discrimination")
 
 
 
 
 
 
 
 
 
 
62
 
63
+ # Layout and Interaction
64
  with gr.Blocks() as demo:
65
  with gr.Column():
66
  google_key_component.render()
67
+ image_prompt_component.render()
 
 
 
68
  run_button_component.render()
69
+ chatbot_component.render()
70
+
71
+ # Connect button to the bot function
72
+ run_button_component.click(
73
+ fn=bot,
74
+ inputs=[google_key_component, image_prompt_component, chatbot_component],
75
+ outputs=[chatbot_component]
76
+ )
77
 
78
+ # Launch the app
 
79
  demo.launch()