Upload app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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TEXT_MODEL = "mistralai/Mistral-7B-Instruct-v0.3"
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IMAGE_MODEL = "black-forest-labs/FLUX.1-schnell"
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# ββ Π§ΠΠ’ ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def respond(message, history, system_prompt, max_tokens, temperature, hf_token: gr.OAuthToken):
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client = InferenceClient(token=hf_token.token)
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messages = [{"role": "system", "content": system_prompt}]
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for h in history:
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messages.append({"role": h["role"], "content": h["content"]})
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messages.append({"role": "user", "content": message})
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response = ""
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for chunk in client.chat_completion(
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messages,
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model=TEXT_MODEL,
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max_tokens=max_tokens,
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temperature=temperature,
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stream=True,
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):
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token = chunk.choices[0].delta.content or ""
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response += token
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yield response
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# ββ ΠΠΠΠΠ ΠΠ¦ΠΠ― Π€ΠΠ’Π ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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def generate_image(prompt, steps, hf_token: gr.OAuthToken):
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if not prompt.strip():
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return None
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client = InferenceClient(token=hf_token.token)
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image = client.text_to_image(
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prompt,
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model=IMAGE_MODEL,
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num_inference_steps=steps,
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)
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return image
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# ββ ΠΠΠ’ΠΠ Π€ΠΠΠ‘ βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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css = """
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footer { display: none !important; }
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"""
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="indigo"), css=css, title="AI ΠΡΡΠΈΡΡΠ΅Π½Ρ") as demo:
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gr.Markdown("# π€ AI ΠΡΡΠΈΡΡΠ΅Π½Ρ")
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gr.Markdown("ΠΠΎΠΉΠ΄ΠΈ ΡΠ΅ΡΠ΅Π· HuggingFace β ΡΡΠΎ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ, ΠΊΠ»ΡΡΠΈ Π½Π΅ Π½ΡΠΆΠ½Ρ.")
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with gr.Sidebar():
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gr.LoginButton()
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gr.Markdown("---")
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gr.Markdown("**ΠΠΎΠ΄Π΅Π»ΠΈ:**")
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gr.Markdown(f"π¬ `{TEXT_MODEL}`")
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gr.Markdown(f"π¨ `{IMAGE_MODEL}`")
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with gr.Tabs():
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# ββ ΠΠΊΠ»Π°Π΄ΠΊΠ°: Π§Π°Ρ ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("π¬ Π§Π°Ρ"):
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gr.ChatInterface(
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respond,
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type="messages",
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chatbot=gr.Chatbot(height=480, render_markdown=True, show_label=False),
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textbox=gr.Textbox(placeholder="ΠΠ°ΠΏΠΈΡΠΈ ΡΡΠΎ-Π½ΠΈΠ±ΡΠ΄Ρ...", container=False),
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additional_inputs=[
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gr.Textbox(
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value="Π’Ρ ΡΠΌΠ½ΡΠΉ ΠΈ Π΄ΡΡΠΆΠ΅Π»ΡΠ±Π½ΡΠΉ Π°ΡΡΠΈΡΡΠ΅Π½Ρ. ΠΡΠ²Π΅ΡΠ°ΠΉ Π½Π° ΡΠ·ΡΠΊΠ΅ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Ρ.",
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label="Π‘ΠΈΡΡΠ΅ΠΌΠ½ΡΠΉ ΠΏΡΠΎΠΌΠΏΡ",
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lines=2,
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),
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gr.Slider(256, 2048, value=512, step=128, label="ΠΠ°ΠΊΡ. ΡΠΎΠΊΠ΅Π½ΠΎΠ²"),
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gr.Slider(0.1, 1.5, value=0.7, step=0.05, label="Π’Π΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ°"),
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],
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additional_inputs_accordion=gr.Accordion("βοΈ ΠΠ°ΡΡΡΠΎΠΉΠΊΠΈ", open=False),
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submit_btn="ΠΡΠΏΡΠ°Π²ΠΈΡΡ β€",
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retry_btn="π",
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undo_btn="β©οΈ",
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clear_btn="ποΈ",
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)
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# ββ ΠΠΊΠ»Π°Π΄ΠΊΠ°: ΠΠ΅Π½Π΅ΡΠ°ΡΠΈΡ ΡΠΎΡΠΎ ββββββββββββββββββββββββββββββββββββββββββββ
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with gr.Tab("π¨ ΠΠ΅Π½Π΅ΡΠ°ΡΠΈΡ ΡΠΎΡΠΎ"):
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with gr.Row():
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with gr.Column(scale=2):
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prompt_box = gr.Textbox(
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label="ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΊΠ°ΡΡΠΈΠ½ΠΊΠΈ",
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placeholder="Π·Π°ΠΊΠ°Ρ Π½Π° ΠΌΠΎΡΠ΅, Π°Π½ΠΈΠΌΠ΅ ΡΡΠΈΠ»Ρ, 4K...",
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lines=4,
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)
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steps_slider = gr.Slider(1, 8, value=4, step=1, label="Π¨Π°Π³ΠΈ (Π±ΡΡΡΡΠ΅Π΅ = ΠΌΠ΅Π½ΡΡΠ΅)")
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gen_btn = gr.Button("π¨ Π‘ΠΎΠ·Π΄Π°ΡΡ", variant="primary", size="lg")
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with gr.Column(scale=3):
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output_image = gr.Image(label="Π Π΅Π·ΡΠ»ΡΡΠ°Ρ", show_label=False)
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gen_btn.click(
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fn=generate_image,
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inputs=[prompt_box, steps_slider],
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outputs=output_image,
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)
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gr.Examples(
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examples=[
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["a futuristic cyberpunk city at night, neon lights, rain, 4K"],
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["cute anime girl in a flower field, soft light, detailed"],
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["astronaut riding a horse on Mars, cinematic, realistic"],
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["a cozy cabin in snowy forest, warm light inside, peaceful"],
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],
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inputs=prompt_box,
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)
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if __name__ == "__main__":
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demo.launch()
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