Delete app.py

app.py

@@ -1,118 +0,0 @@
-import os
-import time
-from typing import List, Tuple, Optional
-
-import google.generativeai as genai
-import gradio as gr
-from PIL import Image
-
-print("google-generativeai:", genai.__version__)
-
-GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
-
-TITLE = """<h1 align="center">🕹️ Google Gemini Chatbot 🔥</h1>"""
-SUBTITLE = """<h2 align="center">🎨Create with Multimodal Gemini</h2>"""
-DUPLICATE = """
-<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
-    <a href="https://huggingface.co/spaces/Rahatara/build_with_gemini/blob/main/allgemapp.py?duplicate=true">
-        <img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;">
-    </a>
-    <span>Duplicate the Space and run securely with your 
-        <a href="https://makersuite.google.com/app/apikey">GOOGLE API KEY</a>.
-    </span>
-</div>
-"""
-
-IMAGE_WIDTH = 512
-
-def preprocess_stop_sequences(stop_sequences: str) -> Optional[List[str]]:
-    return [seq.strip() for seq in stop_sequences.split(",")] if stop_sequences else None
-
-def preprocess_image(image: Image.Image) -> Image.Image:
-    image_height = int(image.height * IMAGE_WIDTH / image.width)
-    return image.resize((IMAGE_WIDTH, image_height))
-
-def user(text_prompt: str, chatbot: List[Tuple[str, str]]):
-    return "", chatbot + [[text_prompt, None]]
-
-def bot(
-    google_key: str,
-    image_prompt: Optional[Image.Image],
-    temperature: float,
-    max_output_tokens: int,
-    stop_sequences: str,
-    top_k: int,
-    top_p: float,
-    chatbot: List[Tuple[str, str]]
-):
-    google_key = google_key or GOOGLE_API_KEY
-    if not google_key:
-        raise ValueError("GOOGLE_API_KEY is not set. Please set it up.")
-
-    text_prompt = chatbot[-1][0]
-    genai.configure(api_key=google_key)
-    generation_config = genai.types.GenerationConfig(
-        temperature=temperature,
-        max_output_tokens=max_output_tokens,
-        stop_sequences=preprocess_stop_sequences(stop_sequences),
-        top_k=top_k,
-        top_p=top_p,
-        #instructions = "You are an expert stylist"
-    )
-
-    model_name = "gemini-1.5-pro-latest" 
-    model = genai.GenerativeModel(model_name)
-    inputs = [text_prompt] if image_prompt is None else [text_prompt, preprocess_image(image_prompt)]
-    
-    response = model.generate_content(inputs, stream=True, generation_config=generation_config)
-    response.resolve()
-
-    chatbot[-1][1] = ""
-    for chunk in response:
-        for i in range(0, len(chunk.text), 10):
-            chatbot[-1][1] += chunk.text[i:i + 10]
-            time.sleep(0.01)
-            yield chatbot
-
-google_key_component = gr.Textbox(
-    label="GOOGLE API KEY",
-    type="password",
-    placeholder="...",
-    visible=GOOGLE_API_KEY is None
-)
-
-image_prompt_component = gr.Image(type="pil", label="Image")
-chatbot_component = gr.Chatbot(label='Gemini', bubble_full_width=False)
-text_prompt_component = gr.Textbox(placeholder="Hi there!", label="Ask me anything and press Enter")
-run_button_component = gr.Button("Run")
-temperature_component = gr.Slider(minimum=0, maximum=1.0, value=0.4, step=0.05, label="Temperature")
-max_output_tokens_component = gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Token limit")
-stop_sequences_component = gr.Textbox(label="Add stop sequence", placeholder="STOP, END")
-top_k_component = gr.Slider(minimum=1, maximum=40, value=32, step=1, label="Top-K")
-top_p_component = gr.Slider(minimum=0, maximum=1, value=1, step=0.01, label="Top-P")
-
-user_inputs = [text_prompt_component, chatbot_component]
-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]
-
-with gr.Blocks() as demo:
-    gr.HTML(TITLE)
-    gr.HTML(SUBTITLE)
-    gr.HTML(DUPLICATE)
-    with gr.Column():
-        google_key_component.render()
-        with gr.Row():
-            image_prompt_component.render()
-            chatbot_component.render()
-        text_prompt_component.render()
-        run_button_component.render()
-        with gr.Accordion("Parameters", open=False):
-            temperature_component.render()
-            max_output_tokens_component.render()
-            stop_sequences_component.render()
-            with gr.Accordion("Advanced", open=False):
-                top_k_component.render()
-                top_p_component.render()
-
-    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])
-    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])
-demo.launch()