Update app.py

app.py

@@ -245,23 +245,23 @@ def interact_with_salesforce(mode, entry_type, quantity, extracted_text):
             
             excel_path = "salesforce_data.xlsx"
             df.to_excel(excel_path, index=False)
-       
-        # Generate interactive vertical bar graph using Matplotlib
-        fig, ax = plt.subplots(figsize=(12, 8))
-        df.plot(kind='bar', x="Product Name", y="Current Stocks", ax=ax, legend=False)
-        ax.set_title("Stock Distribution by Product Name")
-        ax.set_xlabel("Product Name")
-        ax.set_ylabel("Current Stocks")
-        plt.xticks(rotation=45, ha="right", fontsize=10)
-        plt.tight_layout()
-        buffer = BytesIO()
-        plt.savefig(buffer, format="png")
-        buffer.seek(0)
-        img = Image.open(buffer)
-       
-        return "Data successfully retrieved.", df, excel_path, img
-    except Exception as e:
-        return f"Error fetching data: {str(e)}", None, None, None
+            
+            # Generate interactive vertical bar graph using Matplotlib
+            fig, ax = plt.subplots(figsize=(12, 8))
+            df.plot(kind='bar', x="Product Name", y="Current Stocks", ax=ax, legend=False)
+            ax.set_title("Stock Distribution by Product Name")
+            ax.set_xlabel("Product Name")
+            ax.set_ylabel("Current Stocks")
+            plt.xticks(rotation=45, ha="right", fontsize=10)
+            plt.tight_layout()
+            buffer = BytesIO()
+            plt.savefig(buffer, format="png")
+            buffer.seek(0)
+            img = Image.open(buffer)
+            
+            return "Data successfully retrieved.", df, excel_path, img
+        except Exception as e:
+            return f"Error fetching data: {str(e)}", None, None, None
 
 # Unified function to handle image processing and Salesforce interaction
 def process_image(image, mode, entry_type, quantity):