Update changes

app.py

@@ -80,6 +80,27 @@ def extract_climate_data(api_key, file_path=None, url=None):
         return {"error": f"OCR processing failed: {str(e)}"}
 
 def process_climate_document(api_key, file, url_input):
+    """
+    The function `process_climate_document` extracts climate data from either a file or URL input and
+    generates a structured analysis report.
+    
+    :param api_key: The `api_key` parameter is typically a unique identifier or access token that allows
+    you to authenticate and access a specific API or service. It is used in the
+    `process_climate_document` function to authenticate and make requests to the `extract_climate_data`
+    function. You need to provide a valid
+    :param file: The `file` parameter in the `process_climate_document` function is used to pass a file
+    object containing climate document data. If this parameter is provided, the function will extract
+    climate data from the file using the `extract_climate_data` function
+    :param url_input: The `url_input` parameter in the `process_climate_document` function is used to
+    provide a URL input for extracting climate data. This URL should point to a document or webpage
+    containing climate-related information that needs to be analyzed. The function will extract data
+    from this URL if it is provided
+    :return: The function `process_climate_document` returns a formatted string containing the analysis
+    results of a climate document. The output includes information about the document type, title,
+    organization, publication date, structured data (in JSON format), extracted climate data, chart
+    analysis, and extracted text. If there is an error during the extraction process, it will return an
+    error message.
+    """
     if file:
         result = extract_climate_data(api_key, file_path=file.name)
     elif url_input.strip():
@@ -119,6 +140,22 @@ def process_climate_document(api_key, file, url_input):
     return output
 
 def analyze_image(api_key, image):
+    """
+    The function `analyze_image` takes an image, analyzes it using a chat model, and returns JSON output
+    with information about the image content.
+    
+    :param api_key: The `api_key` parameter is a string that represents the API key required for
+    authentication to access the chat API service. This key is used to initialize the client for making
+    requests to the service
+    :param image: The `analyze_image` function you provided seems to be a Python function that takes an
+    API key and an image as input parameters. The function is designed to analyze the image using a chat
+    completion model and provide a JSON output with specific fields related to the image content
+    :return: The `analyze_image` function returns a JSON string containing information about the
+    analyzed image. The JSON output includes fields such as image_type, climate_feature, location,
+    date_captured, cloud_density, temperature_anomaly, and description. If the image analysis is
+    successful, the function returns the analyzed results in JSON format. If there is an error during
+    processing, it returns an error message with default values for
+    """
     try:
         client = initialize_client(api_key)
         buffered = BytesIO()