Update app.py

app.py

@@ -1,126 +1,23 @@
-import google.generativeai as genai
 import gradio as gr
-import os
 
-def carbonFootPrintAI(monthly_oil_bill: int,
-                      monthly_gas_bill: int,
-                      monthly_electricity_bill: int,
-                      total_yearly_mileage_on_car: int,
-                      number_of_flights_in_past_year_less_or_equal_4hours: int,
-                      number_of_flights_in_past_year_more_or_equal_4hours: int,
-                      recycle_newspaper=False,
-                      recycle_aluminium_and_tin=False):
-                        
-    """
-    This function calculates the carbon footprint based on the following parameters:
-      - Monthly oil bill in dollars
-      - Monthly gas bill in dollars
-      - Monthly electricity bill in dollars
-      - Total yearly mileage on car in miles
-      - Number of flights in the past year that are less than or equal to 4 hours
-      - Number of flights in the past year that are more than or equal to 4 hours
-      - recycle_newspaper: Indicating whether or not the user recycles newspaper
-      - recycle_aluminium_and_tin: Indicating whether or not the user recycles aluminium and tin.
-      
-    Args:
-      monthly_oil_bill (int): Monthly oil bill in dollars
-      monthly_gas_bill (int): Monthly gas bill in dollars
-      monthly_electricity_bill (int): Monthly electricity bill in dollars
-      total_yearly_mileage_on_car (int): Total yearly mileage on car in miles
-      number_of_flights_in_past_year_less_or_equal_4hours (int): Number of flights in the past year that are less than or equal to 4 hours
-      number_of_flights_in_past_year_more_or_equal_4hours (int): Number of flights in the past year that are more than or equal to 4 hours
-      recycle_newspaper (bool): Boolean indicating if the user recycles newspaper
-      recycle_aluminium_and_tin (bool): Boolean indicating if the user recycles aluminium and tin.
+def letter_counter(word, letter):
+    """Count the occurrences of a specific letter in a word.
     
+    Args:
+        word: The word or phrase to analyze
+        letter: The letter to count occurrences of
+        
     Returns:
-      - total_footprint (int): The total carbon footprint calculated based on the inputs
-      - response (str): A recommendation message based on the total carbon footprint.
+        The number of times the letter appears in the word
     """
-    
-    api_key = os.getenv("GEMINI_API_KEY")
-
-    genai.configure(api_key=api_key)
-
-    model = genai.GenerativeModel("gemini-1.5-flash")
-
-    # Calculate base values
-    e_bill = monthly_electricity_bill * 105
-    o_bill = monthly_oil_bill * 113
-    g_bill = monthly_gas_bill * 105
-    y_mileage = total_yearly_mileage_on_car * 0.79
-    f_less_than_4hours = number_of_flights_in_past_year_less_or_equal_4hours * 1100
-    f_more_than_4hours = number_of_flights_in_past_year_more_or_equal_4hours * 4400
-
-    # Total footprint without recycling adjustments
-    total_footprint = e_bill + o_bill + g_bill + y_mileage + f_less_than_4hours + f_more_than_4hours
-
-    # Add penalties if not recycling
-    if not recycle_newspaper:
-        total_footprint += 184
-    if not recycle_aluminium_and_tin:
-        total_footprint += 166
-
-    if total_footprint < 6000:
-        prompt1 = """
-        commend for excellent work keeping total carbon footprint down at {} and recommend suggestions to keep it that way.
-        Give suggestions regarding monthly electricity bill, monthly gas bill, monthly oil bill, total yearly mileage on car, number of flights
-        less than or equal to 4 hours, and number of flights more than or equal to 4 hours.
-        """.format(total_footprint)
-        response1 = model.generate_content(prompt1)
-        return [total_footprint, response1.text]
-
-    elif total_footprint > 6000 and total_footprint < 15999:
-        prompt2 = """
-        commend for keeping total carbon footprint down at {} and recommend practical suggestions to bring it down further.
-        Give suggestions regarding monthly electricity bill, monthly gas bill, monthly oil bill, total yearly mileage on car, number of flights
-        less than or equal to 4 hours, and number of flights more than or equal to 4 hours.
-        """.format(total_footprint)
-        response2 = model.generate_content(prompt2)
-        return [total_footprint, response2.text]
-
-    elif total_footprint > 16000 and total_footprint < 22000:
-        prompt3 = """
-        commend for keeping total carbon footprint at an average of {} and recommend useful suggestions to make sure it doesn't get higher than that.
-        Give suggestions regarding monthly electricity bill, monthly gas bill, monthly oil bill, total yearly mileage on car, number of flights
-        less than or equal to 4 hours, and number of flights more than or equal to 4 hours.
-        """.format(total_footprint)
-        response3 = model.generate_content(prompt3)
-        return [total_footprint, response3.text]
-
-    elif total_footprint > 22000:
-        prompt4 = """
-        urgently recommend drastic and practical measures to bring carbon footprint down from {}. Give suggestions regarding monthly electricity bill, monthly gas bill, monthly oil bill, total yearly mileage on car, number of flights
-        less than or equal to 4 hours, and number of flights more than or equal to 4 hours.
-        """.format(total_footprint)
-        response4 = model.generate_content(prompt4)
-        return [total_footprint, response4.text]
-
-css = """
-.app {
-    border-width: 3px;
-    border-color: forestgreen;
-}
-"""
-# Gradio Interface
-app = gr.Interface(
-    fn=carbonFootPrintAI,
-    inputs=[
-        gr.Number(label="Monthly Gas Bill ($)", elem_classes="app"),
-        gr.Number(label="Monthly Oil Bill ($)", elem_classes="app"),
-        gr.Number(label="Monthly Electricity Bill ($)", elem_classes="app"),
-        gr.Slider(label="Total Yearly Mileage on Car", value = 0, minimum = 0, maximum = 50000, step = 1, elem_classes="app"),
-        gr.Slider(label="Number of Flights Less Than or Equal to 4 Hours", value = 0, minimum = 0, maximum = 100, step = 1, elem_classes="app"),
-        gr.Slider(label="Number of Flights More Than or Equal to 4 Hours", value = 0, minimum = 0, maximum = 100, step = 1, elem_classes="app"),
-        gr.Checkbox(label="Do You Recycle Newspaper?", elem_classes="app"),
-        gr.Checkbox(label="Do You Recycle Aluminium and Tin?", elem_classes="app")
-    ],
-    
-    outputs=[
-        gr.Number(label="Total Carbon Footprint", elem_classes="app"),
-        gr.Markdown("<center>Recommendation To Reduce Your Carbon Footprint</center>")
-    ],
-    theme = "upsatwal/mlsc_tiet",
-    title = "&#127807; &#127757; Carbon Footprint Calculator &#127757; &#127807;"
+    return word.lower().count(letter.lower())
+
+demo = gr.Interface(
+    fn=letter_counter,
+    inputs=["text", "text"],
+    outputs="number",
+    title="Letter Counter",
+    description="Count how many times a letter appears in a word"
 )
 
-app.launch(mcp_server = True)
+demo.launch(mcp_server=True)