changing input

app.py

@@ -88,7 +88,7 @@ with st.expander("Calculate the dynamic emissions of your model"):
         gpu_tdp = TDP['tdp_watts'][TDP['name'] == hardware].tolist()[0]
         st.markdown("Different hardware has different TDP (Thermal Design Power), which impacts how much energy you use.")
     with col2:
-       num_gpus = st.number_input('Number of GPUs/CPUs/TPUs used', value = 16)
+       num_gpus = st.text_input('Number of GPUs/CPUs/TPUs used', value = 16)
        #st.markdown('This is calculated by multiplying the number of GPUs you used by the training time: '
         #           'i.e. if you used 100 GPUs for 10 hours, this is equal to 100x10 = 1,000 GPU hours.')
     with col3:
@@ -106,7 +106,7 @@ with st.expander("Calculate the dynamic emissions of your model"):
             carbon_intensity = st.number_input('Carbon intensity of your energy grid, in grams of CO2 per kWh')
             st.markdown('You can consult a resource like the [IEA](https://www.iea.org/countries) or '
                         ' [Electricity Map](https://app.electricitymaps.com/) to get this information.')
-    dynamic_emissions = round(gpu_tdp * num_gpus*training_time * carbon_intensity/1000000)
+    dynamic_emissions = round(gpu_tdp * float(num_gpus)*training_time * carbon_intensity/1000000)
     st.metric(label="Dynamic emissions", value=str(dynamic_emissions)+' kilograms of CO2eq')
     st.markdown('This is roughly equivalent to '+ str(round(dynamic_emissions/kg_per_mile,1)) + ' miles driven in an average US car'
     ' produced in 2021. [(Source: energy.gov)](https://www.energy.gov/eere/vehicles/articles/fotw-1223-january-31-2022-average-carbon-dioxide-emissions-2021-model-year)')