Update app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 import json
 import os
 import time
-import requests
 from openai import OpenAI
 
 class DeepDreamInterpreter:
@@ -29,66 +28,35 @@ class DeepDreamInterpreter:
             self.api_key = None
             return f"API configuration failed: {str(e)}"
     
-    def _make_api_call(self, messages, model="google/gemini-2.0-flash-exp:free"):
+    def _make_api_call(self, messages, model="google/gemini-flash-1.5"):
         """Make an API call to OpenRouter with proper error handling"""
         if not self.client:
             raise ValueError("API client not configured")
             
         try:
-            # Direct API call using requests for more control
-            headers = {
-                "Authorization": f"Bearer {self.api_key}",
-                "Content-Type": "application/json",
-                "HTTP-Referer": "https://deepdreaminterpreter.com",
-                "X-Title": "Deep Dream Interpreter"
-            }
-            
-            payload = {
-                "model": model,
-                "messages": messages
-            }
-            
-            response = requests.post(
-                "https://openrouter.ai/api/v1/chat/completions",
-                headers=headers,
-                json=payload
+            response = self.client.chat.completions.create(
+                model=model,
+                messages=messages,
+                extra_headers={
+                    "HTTP-Referer": "https://deepdreaminterpreter.com",
+                    "X-Title": "Deep Dream Interpreter"
+                }
             )
             
-            # Check if response is successful
-            if response.status_code != 200:
-                error_msg = f"API Error (Status {response.status_code}): "
-                try:
-                    error_data = response.json()
-                    error_msg += error_data.get('error', {}).get('message', 'Unknown error')
-                except:
-                    error_msg += response.text[:100] + "..."
-                
-                print(f"API error: {error_msg}")
-                raise ValueError(error_msg)
-            
-            # Parse the response
-            data = response.json()
-            
-            # Validate response structure
-            if 'choices' not in data or not data['choices'] or 'message' not in data['choices'][0]:
-                raise ValueError("Invalid response structure from API")
-                
             # Extract the content
-            content = data['choices'][0]['message'].get('content', '')
+            content = response.choices[0].message.content
             if not content:
                 raise ValueError("Empty content in API response")
                 
             return content
             
-        except requests.exceptions.RequestException as e:
-            raise ValueError(f"Network error: {str(e)}")
-        except json.JSONDecodeError:
-            raise ValueError("Invalid JSON response from API")
         except Exception as e:
-            raise ValueError(f"Error in API call: {str(e)}")
+            error_msg = f"API error: {str(e)}"
+            print(f"API error: {error_msg}")
+            raise ValueError(error_msg)
         
     def analyze_dream(self, dream_description, include_visualization=True, user_name="Anonymous"):
-        """Analyze the provided dream description using Gemini 2.5 Flash"""
+        """Analyze the provided dream description using Gemini Flash 1.5"""
         if not self.client:
             return "Please configure your API key first."
             
@@ -135,7 +103,6 @@ class DeepDreamInterpreter:
             # If visualization is not needed, return just the analysis
             if not include_visualization:
                 return f"""## Dream Analysis
-
 {dream_analysis}"""
                 
             # Second pass: Visual interpretation
@@ -166,13 +133,9 @@ class DeepDreamInterpreter:
                 
                 # Combine the results
                 full_response = f"""## Dream Analysis
-
 {dream_analysis}
-
 ## Visualization Prompt
-
 {visualization_prompt}
-
 ---
 *Note: This visualization prompt can be used with image generation models like DALL-E, Midjourney, or Stable Diffusion to create a visual representation of your dream.*
 """
@@ -182,13 +145,9 @@ class DeepDreamInterpreter:
                 # If visualization fails, still return the analysis
                 print(f"Visualization error: {str(e)}")
                 return f"""## Dream Analysis
-
 {dream_analysis}
-
 ## Visualization Prompt
-
 Error: Unable to generate visualization prompt. Please try again later.
-
 ---
 *Note: The dream analysis was successful, but we encountered an issue generating the visualization prompt.*
 """
@@ -279,7 +238,7 @@ def create_gradio_interface():
     # Create the Gradio interface
     with gr.Blocks(title="Deep Dream Interpreter") as app:
         gr.Markdown("# 🌙 Deep Dream Interpreter")
-        gr.Markdown("Analyze your dreams using Gemini 2.5 Flash with thinking capabilities.")
+        gr.Markdown("Analyze your dreams using Gemini Flash 1.5.")
         
         with gr.Tab("Dream Analysis"):
             with gr.Row():
@@ -320,7 +279,7 @@ def create_gradio_interface():
             gr.Markdown("""
             ## About Deep Dream Interpreter
             
-            This application uses Google's Gemini 2.5 Flash Preview model with thinking capabilities to analyze and interpret dreams. The model analyzes the narrative structure, emotional content, and symbolic elements of your dreams to provide insights and generate visualization prompts.
+            This application uses Google's Gemini Flash 1.5 model to analyze and interpret dreams. The model analyzes the narrative structure, emotional content, and symbolic elements of your dreams to provide insights and generate visualization prompts.
             
             ### Features:
             - **Dream Analysis**: Get a detailed analysis of your dream's symbols, emotions, and themes
@@ -337,12 +296,12 @@ def create_gradio_interface():
             4. Optionally save your analysis
             
             ### Troubleshooting:
-            - If you encounter an error, make sure your API key is valid and has access to the Gemini 2.5 Flash Preview model
+            - If you encounter an error, make sure your API key is valid and has access to the Gemini Flash 1.5 model
             - Check that your OpenRouter account has sufficient credits
             - Try a shorter dream description if you're experiencing timeout issues
             
             ### Requirements:
-            - An OpenRouter API key with access to Google's Gemini 2.5 Flash Preview model
+            - An OpenRouter API key with access to Google's Gemini Flash 1.5 model
             """)
         
         # Set up the event handlers