Update app.py

app.py

@@ -22,7 +22,7 @@ class MultimodalChatbot:
             base_url="https://openrouter.ai/api/v1",
             api_key=api_key,
         )
-        self.model = "google/gemma-2-9b-it:free"  # Updated to a valid text model
+        self.model = "google/gemma-2-9b-it:free"
         self.conversation_history = []
         # Initialize the pipeline for image-text-to-text processing
         try:
@@ -34,7 +34,7 @@ class MultimodalChatbot:
             )
             print("Image captioning pipeline initialized successfully")
         except Exception as e:
-            print(f"Error initializing image captioning pipeline: {str(e)}")
+            print(f"Error initializing image captioning pipeline: {e}")
             self.pipe = None
     
     def encode_image_to_base64(self, image) -> str:
@@ -257,7 +257,7 @@ class MultimodalChatbot:
             completion = self.client.chat.completions.create(
                 extra_headers={
                     "HTTP-Referer": "https://multimodal-chatbot.local",
-                    "X-Title": "Mult Mosaic Chatbot",
+                    "X-Title": "Multimodal Chatbot",
                 },
                 model=self.model,
                 messages=messages,
@@ -525,18 +525,14 @@ def create_interface():
         api_key_input.change(
             validate_api_key,
             inputs=[api_key_input],
-            F
-            outputs=[api_status, text_submit_btn, pdf pimodalChatbotdf_submit_btn, audio_submit_btn, 
+            outputs=[api_status, text_submit_btn, pdf_submit_btn, audio_submit_btn, 
                     image_submit_btn, video_submit_btn, combined_submit_btn]
         )
         
         text_submit_btn.click(
             process_text_input,
             inputs=[api_key_input, text_input, text_chatbot],
-            outputs=[text_chatbot, text upset_btn.click(
-            process_pdf_input,
-            inputs=[api_key_input, pdf_input, pdf_text_input, pdf_chatbot],
-            outputs=[pdf_chatbot, pdf_text_input]
+            outputs=[text_chatbot, text_input]
         )
         text_input.submit(
             process_text_input,