Update my_model/tabs/run_inference.py

my_model/tabs/run_inference.py

@@ -76,12 +76,14 @@ class InferenceRunner(StateManager):
         if not image_data['analysis_done'] or self.settings_changed or self.confidance_change:
             nested_col22.text("Please click 'Analyze Image'..")
             analyze_button_key = f'analyze_{image_key}_{st.session_state.detection_model}_{st.session_state.confidence_level}'
-            if st.button('Analyze Image', key=analyze_button_key, on_click=self.disable_widgets, disabled=self.is_widget_disabled):
+            if nested_col22.button('Analyze Image', key=analyze_button_key, on_click=self.disable_widgets, disabled=self.is_widget_disabled):
                 caption, detected_objects_str, image_with_boxes = self.analyze_image(image_data['image'])
                 self.update_image_data(image_key, caption, detected_objects_str, True)
             st.session_state['loading_in_progress'] = False
 
     def handle_question_answering(self, image_key, image_data, nested_col22):
+        # Initialize qa_history for each image
+        #qa_history = image_data.get('qa_history', [])
         if image_data['analysis_done']:
             self.display_question_answering_interface(image_key, image_data, nested_col22)
 
@@ -93,8 +95,13 @@ class InferenceRunner(StateManager):
         question = custom_question if selected_question == "Custom question..." else selected_question
         self.process_question(image_key, question, image_data, nested_col22)
 
-    def process_question(self, image_key, question, image_data, nested_col22):
         qa_history = image_data.get('qa_history', [])
+        for num, (q, a, p) in enumerate(qa_history):
+            nested_col22.text(f"Q{num+1}: {q}\nA{num+1}: {a}\nPrompt Length: {p}\n")
+
+            
+    def process_question(self, image_key, question, image_data, nested_col22):
+        #qa_history = image_data.get('qa_history', [])
         if question and (question not in [q for q, _, _ in qa_history] or self.settings_changed or self.confidance_change):
             if nested_col22.button('Get Answer', key=f'answer_{image_key}', disabled=self.is_widget_disabled):
                 answer, prompt_length = self.answer_question(image_data['caption'], image_data['detected_objects_str'], question)
@@ -109,8 +116,6 @@ class InferenceRunner(StateManager):
             for image_key, image_data in self.get_images_data().items():
                 with st.container():
                     nested_col21, nested_col22 = st.columns([0.65, 0.35])
-                    image_for_display = self.resize_image(image_data['image'], 600)
-                    nested_col21.image(image_for_display, caption=f'Uploaded Image: {image_key[-11:]}')
                     self.display_image_and_analysis(image_key, image_data, nested_col21, nested_col22)
                     self.handle_question_answering(image_key, image_data, nested_col22)