Update app.py

app.py

@@ -109,11 +109,12 @@ def forecast_solar_energy(historical_data):
     except Exception as e:
         return f"Error in forecasting: {str(e)}"
 
+# Read and preprocess CSV data for prediction
 # Read and preprocess CSV data for prediction
 def preprocess_csv_for_prediction(csv_file):
     try:
         # Load the data from CSV file
-        data = pd.read_csv(Solar_Irradiance.csv)  # Use csv_file.name to read the file
+        data = pd.read_csv(csv_file.name)  # Corrected from Solar_Irradiance.csv to use the file input
 
         # Ensure that the CSV has 7 columns (features) and at least 43 rows (timesteps)
         if data.shape[1] != 7:
@@ -136,6 +137,8 @@ def preprocess_csv_for_prediction(csv_file):
     except Exception as e:
         return f"Error in preprocessing CSV: {str(e)}"
 
+
+# Function to process image and forecast energy using CSV file
 # Function to process image and forecast energy using CSV file
 def process_image_and_forecast(image, min_area, pixel_area, clip_limit, tile_size, panel_type,
                                 panel_length, panel_width, irradiance, electricity_rate, historical_data_csv):
@@ -181,6 +184,7 @@ def process_image_and_forecast(image, min_area, pixel_area, clip_limit, tile_siz
     except Exception as e:
         return image, f"Error: {str(e)}"
 
+
 # Gradio Interface
 interface = gr.Interface(
     fn=process_image_and_forecast,