init

app.py

@@ -1,41 +1,46 @@
 import gradio as gr
 import pandas as pd
 import google.generativeai as genai
-
 import kagglehub
+import os
+
+# Download the Kaggle dataset
 path = kagglehub.dataset_download("fahmidachowdhury/food-adulteration-dataset")
-gemapi = "AIzaSyAmDOBWfGuEju0oZyUIcn_H0k8XW0cTP7k"
-genai.configure(api_key = gemapi)
 
-import os
-os.listdir(path)
-path = path + "/"+ os.listdir(path)[0]
+# List the files in the dataset folder and assign the first one (assuming it's the desired file)
+dataset_file = os.listdir(path)[0]
+path = os.path.join(path, dataset_file)
 
+# Configure Google Gemini API
+gemapi = "AIzaSyAmDOBWfGuEju0oZyUIcn_H0k8XW0cTP7k"
+genai.configure(api_key=gemapi)
+
+# Load the dataset
+data = pd.read_csv(path)
 
-# Initializing Model:
+# Define the system instructions for the model
 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 Indian context. You act as the representative of the Goverment  or public agencies always keeping the needs of the people to 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 detailed and which can be sent to the company or restaurant.\
-In case of a complaint or a grievance, You will act like a detective gathering necessary information from the user untill you are satisfied; Once You gather all the info, you are supposed to generate a markdown report\
-Once the customer asks you to show them the markdown report, you will use the information given to you to generate a report.\
-You will ask the customer a single question at a time, which is relevent and you will not repeat another question until youve generated the report.
+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 detailed and can be sent to the company or restaurant.
+In case of a complaint or a grievance, you will act like a detective gathering necessary information from the user until you are satisfied. Once you gather all the info, you are supposed to generate a markdown report.
+Once the customer asks you to show them the markdown report, you will use the information given to you to generate it.
+You will ask the customer a single question at a time, which is relevant, and you will not repeat another question until you've generated the report.
 """
 
+# Initialize the model
 model_path = "gemini-1.5-flash"
-FoodSafetyAssistant = genai.GenerativeModel(model_path, system_instruction = system_instruction)
+FoodSafetyAssistant = genai.GenerativeModel(model_path, system_instruction=system_instruction)
 
-def startChat(usertxt, chat_history=[]):
-  while usertxt != "exit" or usertxt != "Exit":
-    chat = FoodSafetyAssistant.start_chat(history = chat_history)
+# Define the function to handle the chat
+def respond(usertxt, chat_history=[]):
+    chat = FoodSafetyAssistant.start_chat(history=chat_history)
     response = chat.send_message(usertxt)
-    yield response.text
-
-
-demo = gr.ChatInterface(
-    respond
-)
+    return response.text
 
+# Gradio interface
+demo = gr.ChatInterface(fn=respond)
 
+# Launch the Gradio app
 if __name__ == "__main__":
     demo.launch()