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from huggingface_hub import InferenceClient | |
import gradio as gr | |
from fpdf import FPDF | |
from docx import Document | |
import os | |
css = ''' | |
.gradio-container{max-width: 1000px !important} | |
h1{text-align:center} | |
footer { | |
visibility: hidden | |
} | |
''' | |
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3") | |
def format_prompt(message, history, system_prompt=None): | |
prompt = "<s>" | |
for user_prompt, bot_response in history: | |
prompt += f"[INST] {user_prompt} [/INST]" | |
prompt += f" {bot_response}</s> " | |
if system_prompt: | |
prompt += f"[SYS] {system_prompt} [/SYS]" | |
prompt += f"[INST] {message} [/INST]" | |
return prompt | |
def save_to_file(content, filename, format): | |
try: | |
if format == "pdf": | |
pdf = FPDF() | |
pdf.add_page() | |
pdf.set_auto_page_break(auto=True, margin=15) | |
pdf.set_font("Arial", size=12) | |
pdf.multi_cell(0, 10, content) | |
pdf.output(f"{filename}.pdf") | |
elif format == "docx": | |
doc = Document() | |
doc.add_paragraph(content) | |
doc.save(f"{filename}.docx") | |
elif format == "txt": | |
with open(f"{filename}.txt", 'w') as file: | |
file.write(content) | |
return f"File saved successfully as {filename}.{format}" | |
except Exception as e: | |
return f"Error saving file: {str(e)}" | |
def generate( | |
prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0, | |
save_format="txt", save_file=None | |
): | |
temperature = float(temperature) | |
if temperature < 1e-2: | |
temperature = 1e-2 | |
top_p = float(top_p) | |
generate_kwargs = dict( | |
temperature=temperature, | |
max_new_tokens=max_new_tokens, | |
top_p=top_p, | |
repetition_penalty=repetition_penalty, | |
do_sample=True, | |
seed=42, | |
) | |
formatted_prompt = format_prompt(prompt, history, system_prompt) | |
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
output = "" | |
for response in stream: | |
output += response.token.text | |
yield output | |
if save_file: | |
# Ensure filename is valid and doesn't contain invalid characters | |
save_file = save_file.strip().replace(' ', '_') | |
save_message = save_to_file(output, save_file, save_format) | |
yield f"{output}\n\n{save_message}" | |
with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo: | |
gr.Markdown("# GRAB DOC") | |
prompt = gr.Textbox(label="Prompt", placeholder="Enter your text here...", lines=4) | |
history = gr.State([]) | |
system_prompt = gr.Textbox(label="System Prompt", placeholder="Enter system instructions (optional)...", lines=2, visible=False) | |
temperature = gr.Slider(label="Temperature", minimum=0.1, maximum=1.0, step=0.1, value=0.2) | |
max_new_tokens = gr.Slider(label="Max New Tokens", minimum=1, maximum=1024, step=1, value=1024) | |
top_p = gr.Slider(label="Top P", minimum=0.0, maximum=1.0, step=0.05, value=0.95) | |
repetition_penalty = gr.Slider(label="Repetition Penalty", minimum=0.0, maximum=2.0, step=0.1, value=1.0) | |
save_format = gr.Dropdown(label="Save Format", choices=["txt", "pdf", "docx"], value="txt") | |
save_file = gr.Textbox(label="Save File Name", placeholder="Enter the filename (without extension)...", lines=1) | |
submit = gr.Button("Generate") | |
output = gr.Textbox(label="Generated Output", lines=20) | |
submit.click( | |
generate, | |
inputs=[prompt, history, system_prompt, temperature, max_new_tokens, top_p, repetition_penalty, save_format, save_file], | |
outputs=output | |
) | |
demo.queue().launch(show_api=False) |