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Upload 2 files
Browse files- app.py +227 -0
- requirements.txt +2 -0
app.py
ADDED
@@ -0,0 +1,227 @@
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import os
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import time
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from typing import List, Tuple, Optional
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import google.generativeai as genai
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import gradio as gr
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from PIL import Image
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print("google-generativeai:", genai.__version__)
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GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
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TITLE = """<h1 align="center">Gemini Playground 😎</h1>"""
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SUBTITLE = """<h2 align="center">Play with Gemini Pro and Gemini Pro Vision API 🖇️</h2>"""
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DUPLICATE = """
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<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
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<a href="https://huggingface.co/spaces/SkalskiP/ChatGemini?duplicate=true">
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<img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;">
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</a>
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<span>Duplicate the Space and run securely with your
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<a href="https://makersuite.google.com/app/apikey">GOOGLE API KEY</a>.
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</span>
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</div>
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"""
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IMAGE_WIDTH = 512
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def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
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if not stop_sequences:
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return None
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return [sequence.strip() for sequence in stop_sequences.split(",")]
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def preprocess_image(image: Image.Image) -> Optional[Image.Image]:
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image_height = int(image.height * IMAGE_WIDTH / image.width)
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return image.resize((IMAGE_WIDTH, image_height))
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def user(text_prompt: str, chatbot: List[Tuple[str, str]]):
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return "", chatbot + [[text_prompt, None]]
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def bot(
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google_key: str,
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image_prompt: Optional[Image.Image],
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temperature: float,
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max_output_tokens: int,
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stop_sequences: str,
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top_k: int,
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top_p: float,
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chatbot: List[Tuple[str, str]]
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):
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google_key = google_key if google_key else GOOGLE_API_KEY
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if not google_key:
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raise ValueError(
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"GOOGLE_API_KEY is not set. "
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"Please follow the instructions in the README to set it up.")
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text_prompt = chatbot[-1][0]
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genai.configure(api_key=google_key)
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generation_config = genai.types.GenerationConfig(
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temperature=temperature,
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max_output_tokens=max_output_tokens,
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stop_sequences=preprocess_stop_sequences(stop_sequences=stop_sequences),
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top_k=top_k,
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top_p=top_p)
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if image_prompt is None:
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model = genai.GenerativeModel('gemini-pro')
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response = model.generate_content(
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text_prompt,
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stream=True,
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generation_config=generation_config)
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response.resolve()
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else:
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image_prompt = preprocess_image(image_prompt)
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model = genai.GenerativeModel('gemini-pro-vision')
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response = model.generate_content(
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contents=[text_prompt, image_prompt],
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stream=True,
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generation_config=generation_config)
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response.resolve()
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# streaming effect
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chatbot[-1][1] = ""
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for chunk in response:
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for i in range(0, len(chunk.text), 10):
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section = chunk.text[i:i + 10]
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chatbot[-1][1] += section
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time.sleep(0.01)
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yield chatbot
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google_key_component = gr.Textbox(
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label="GOOGLE API KEY",
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value="",
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type="password",
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placeholder="...",
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info="You have to provide your own GOOGLE_API_KEY for this app to function properly",
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visible=GOOGLE_API_KEY is None
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)
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image_prompt_component = gr.Image(type="pil", label="Image", scale=1)
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chatbot_component = gr.Chatbot(
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label='Gemini',
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bubble_full_width=False,
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scale=2
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)
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text_prompt_component = gr.Textbox(
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placeholder="Hi there!",
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label="Ask me anything and press Enter"
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)
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run_button_component = gr.Button()
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temperature_component = gr.Slider(
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minimum=0,
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maximum=1.0,
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value=0.4,
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step=0.05,
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label="Temperature",
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info=(
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"Temperature controls the degree of randomness in token selection. Lower "
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"temperatures are good for prompts that expect a true or correct response, "
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"while higher temperatures can lead to more diverse or unexpected results. "
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))
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max_output_tokens_component = gr.Slider(
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minimum=1,
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maximum=2048,
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value=1024,
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step=1,
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label="Token limit",
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info=(
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"Token limit determines the maximum amount of text output from one prompt. A "
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"token is approximately four characters. The default value is 2048."
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))
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stop_sequences_component = gr.Textbox(
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label="Add stop sequence",
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value="",
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type="text",
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placeholder="STOP, END",
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info=(
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"A stop sequence is a series of characters (including spaces) that stops "
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"response generation if the model encounters it. The sequence is not included "
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"as part of the response. You can add up to five stop sequences."
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))
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top_k_component = gr.Slider(
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minimum=1,
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maximum=40,
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value=32,
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step=1,
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label="Top-K",
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info=(
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"Top-k changes how the model selects tokens for output. A top-k of 1 means the "
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"selected token is the most probable among all tokens in the model’s "
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"vocabulary (also called greedy decoding), while a top-k of 3 means that the "
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"next token is selected from among the 3 most probable tokens (using "
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"temperature)."
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))
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top_p_component = gr.Slider(
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minimum=0,
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maximum=1,
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value=1,
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step=0.01,
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label="Top-P",
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info=(
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"Top-p changes how the model selects tokens for output. Tokens are selected "
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"from most probable to least until the sum of their probabilities equals the "
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"top-p value. For example, if tokens A, B, and C have a probability of .3, .2, "
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"and .1 and the top-p value is .5, then the model will select either A or B as "
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"the next token (using temperature). "
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))
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user_inputs = [
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text_prompt_component,
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chatbot_component
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]
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+
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bot_inputs = [
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google_key_component,
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image_prompt_component,
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temperature_component,
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max_output_tokens_component,
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stop_sequences_component,
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top_k_component,
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top_p_component,
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chatbot_component
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]
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with gr.Blocks() as demo:
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gr.HTML(TITLE)
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gr.HTML(SUBTITLE)
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gr.HTML(DUPLICATE)
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with gr.Column():
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google_key_component.render()
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with gr.Row():
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image_prompt_component.render()
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chatbot_component.render()
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text_prompt_component.render()
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run_button_component.render()
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with gr.Accordion("Parameters", open=False):
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temperature_component.render()
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max_output_tokens_component.render()
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stop_sequences_component.render()
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with gr.Accordion("Advanced", open=False):
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top_k_component.render()
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top_p_component.render()
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run_button_component.click(
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fn=user,
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inputs=user_inputs,
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outputs=[text_prompt_component, chatbot_component],
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queue=False
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).then(
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fn=bot, inputs=bot_inputs, outputs=[chatbot_component],
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)
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text_prompt_component.submit(
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fn=user,
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inputs=user_inputs,
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outputs=[text_prompt_component, chatbot_component],
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queue=False
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).then(
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fn=bot, inputs=bot_inputs, outputs=[chatbot_component],
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)
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demo.queue(max_size=99).launch(debug=False, show_error=True)
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requirements.txt
ADDED
@@ -0,0 +1,2 @@
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1 |
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google-generativeai==0.3.1
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2 |
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gradio
|