feat: switch to deepseek model for token-free operation

app.py

@@ -297,6 +297,22 @@ if 'PROGRAMMING_LANGUAGES' not in globals():
     }
     debug_info("Initialized PROGRAMMING_LANGUAGES")
 
+def handle_text_generation(prompt, task_type="code"):
+    try:
+        model, tokenizer = load_model()
+        placeholder = st.empty()
+        
+        if task_type == "code":
+            prompt = f"""Write professional code based on the given requirements.
+            Requirements: {prompt}"""
+        else:
+            prompt = f"Explain this concept: {prompt}"
+            
+        return generate_response_streaming(prompt, model, tokenizer, placeholder)
+    except Exception as e:
+        debug_info(f"Error in text generation: {str(e)}")
+        return f"Error: {str(e)}"
+
 def main():
     task = create_sidebar()
     
@@ -318,16 +334,20 @@ def main():
             
             if st.button("Analyze"):
                 with st.spinner("Analyzing image..."):
-                    prompt = f"Analyze this image for {analysis_type}:"
-                    response = generate_response(prompt, image)
+                    response = handle_text_generation(
+                        f"Analyze this image for {analysis_type}:",
+                        task_type="analysis"
+                    )
                     st.write(response)
-    else:
+    else:  # Concept Explanation
         concept = st.text_input("Enter the concept you want to understand:")
         if st.button("Explain"):
             if concept:
                 with st.spinner("Generating explanation..."):
-                    prompt = f"Explain in detail: {concept}"
-                    response = generate_response(prompt)
+                    response = handle_text_generation(
+                        concept,
+                        task_type="explain"
+                    )
                     st.markdown(response)
 
 if __name__ == "__main__":