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from huggingface_hub import InferenceClient
import gradio as gr
from fpdf import FPDF
import docx
css = '''
.gradio-container{max-width: 1000px !important}
h1{text-align:center}
footer {
visibility: hidden
}
'''
client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.1")
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
# Generate text
def generate(
prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
):
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
# Clean up </s> tags from the generated output
output = output.replace("</s>", "")
yield output
return output
# Save the generated content to a file
def save_file(content, filename, file_format):
if file_format == "pdf":
pdf = FPDF()
pdf.add_page()
pdf.set_auto_page_break(auto=True, margin=15)
pdf.set_font("Arial", size=12)
for line in content.split("\n"):
pdf.multi_cell(0, 10, line)
pdf.output(f"{filename}.pdf")
return f"{filename}.pdf"
elif file_format == "docx":
doc = docx.Document()
doc.add_paragraph(content)
doc.save(f"{filename}.docx")
return f"{filename}.docx"
elif file_format == "txt":
with open(f"{filename}.txt", "w") as f:
f.write(content)
return f"{filename}.txt"
else:
raise ValueError("Unsupported file format")
# Combine generate and save file functions
def generate_and_save(prompt, history, filename="output", file_format="pdf", system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0):
generated_text = ""
for output in generate(prompt, history, system_prompt, temperature, max_new_tokens, top_p, repetition_penalty):
generated_text = output
# Ensure </s> tags are removed from the final output
generated_text = generated_text.replace("</s>", "")
saved_file = save_file(generated_text, filename, file_format)
return generated_text, history + [(prompt, generated_text)], saved_file
# Create Gradio interface
demo = gr.Interface(
fn=generate_and_save,
inputs=[
gr.Textbox(placeholder="Type your message here...", label="Chatbot", lines=5),
gr.State(value=[]),
gr.Textbox(placeholder="Filename (default: output)", label="Filename", value="output"),
gr.Radio(["pdf", "docx", "txt"], label="File Format", value="pdf"),
],
outputs=[
gr.Textbox(label="Generated Text", lines=5),
gr.State(value=[]),
gr.File(label="Download File")
],
css=css,
title="GRAB DOC👨🏻🚀",
theme="bethecloud/storj_theme"
)
demo.queue().launch(show_api=False) |