| import gradio as gr | |
| import pandas as pd | |
| import google.generativeai as genai | |
| import kagglehub | |
| import os | |
| path = kagglehub.dataset_download("fahmidachowdhury/food-adulteration-dataset") | |
| dataset_file = os.listdir(path)[0] | |
| path = os.path.join(path, dataset_file) | |
| gemapi = os.getenv("GeminiApi") | |
| genai.configure(api_key=gemapi) | |
| data = pd.read_csv(path) | |
| system_instruction = f""" | |
| You are a public assistant who specializes in food safety. You look at data and explain to the user any question they ask; here is your data: {str(data.to_json())} | |
| You are also a food expert in the Indian context. You act as a representative of the government or public agencies, always keeping the needs of the people at the forefront. | |
| You will try to help the customer launch a feedback review whenever they complain. You are to prepare a "markdown" report, which is then detailed and can be sent to the company or restaurant. | |
| """ | |
| model_path = "gemini-1.5-flash" | |
| FoodSafetyAssistant = genai.GenerativeModel(model_path, system_instruction=system_instruction) | |
| def respond(usertxt): | |
| response = FoodSafetyAssistant.generate_content(contents=[usertxt]) | |
| return response.text | |
| html_content = """ | |
| <div style="background-color:#f9f9f9; padding:20px; border-radius:10px;"> | |
| <h1 style="color:#34495e;">Food Safety Assistant</h1> | |
| <h3 style="color:#2c3e50;">Your AI-Powered Assistant for Food Safety</h3> | |
| <p style="color:#7f8c8d;"> | |
| Our platform allows consumers to report potential food safety violations, validate reports through AI, and notify local authorities. This proactive approach fosters community involvement in ensuring food integrity. | |
| </p> | |
| <h4 style="color:#e74c3c; text-align:center;">Core Functionalities</h4> | |
| <div style="display:flex; justify-content: space-around; align-items:center; margin-top:20px;"> | |
| <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;"> | |
| <h4 style="color:#2980b9;">Report Issues</h4> | |
| <p style="color:#7f8c8d; font-size: 12px;">Submit details like the restaurant name and the issue, anonymously.</p> | |
| </div> | |
| <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;"> | |
| <h4 style="color:#2980b9;">AI Validation</h4> | |
| <p style="color:#7f8c8d; font-size: 12px;">Validate reports using AI, ensuring accuracy and preventing duplicates.</p> | |
| </div> | |
| <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;"> | |
| <h4 style="color:#2980b9;">Alerts</h4> | |
| <p style="color:#7f8c8d; font-size: 12px;">Notify authorities of repeated issues via email or SMS.</p> | |
| </div> | |
| <div style="border: 2px solid #3498db; border-radius: 15px; padding: 20px; width: 150px; text-align: center;"> | |
| <h4 style="color:#2980b9;">Data Chat</h4> | |
| <p style="color:#7f8c8d; font-size: 12px;">Enable real-time discussion between consumers and authorities.</p> | |
| </div> | |
| </div> | |
| </div> | |
| """ | |
| with gr.Blocks() as demo: | |
| gr.HTML(html_content) | |
| with gr.Row(): | |
| user_input = gr.Textbox(label="Your Input", placeholder="Enter your message here...", lines=5) | |
| output_text = gr.Textbox(label="Assistant Output", interactive=False, lines=5) | |
| submit_btn = gr.Button("Submit") | |
| submit_btn.click(respond, inputs=user_input, outputs=output_text) | |
| gr.Dataframe(value = data) | |
| demo.launch() | |